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ISSN (ONLINE) : 2045 -8711ISSN (PRINT) : 2045 -869X
@IJITCE Publication@IJITCE Publication
INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY & CREATIVE ENGINEERING
DECEMBER 2014VOL - 4 NO - 12
INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.4 NO.12 DECEMBER 2014
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UK: Managing Editor International Journal of Innovative Technology and Creative Engineering 1a park lane, Cranford London TW59WA UK E-Mail: [email protected] Phone: +44-773-043-0249
USA: Editor International Journal of Innovative Technology and Creative Engineering Dr. Arumugam Department of Chemistry University of Georgia GA-30602, USA. Phone: 001-706-206-0812 Fax:001-706-542-2626
India: Editor International Journal of Innovative Technology & Creative Engineering Dr. Arthanariee. A. M Finance Tracking Center India 66/2 East mada st, Thiruvanmiyur, Chennai -600041 Mobile: 91-7598208700
INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.4 NO.12 DECEMBER 2014
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IJITCE PUBLICATION
INTERNATIONAL JOURNAL OF INNOVATIVE INTERNATIONAL JOURNAL OF INNOVATIVE INTERNATIONAL JOURNAL OF INNOVATIVE INTERNATIONAL JOURNAL OF INNOVATIVE
TECHNOLOGY & CREATIVE ENGINEERINGTECHNOLOGY & CREATIVE ENGINEERINGTECHNOLOGY & CREATIVE ENGINEERINGTECHNOLOGY & CREATIVE ENGINEERING
Vol.4 No.12
December 2014
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.4 NO.12 DECEMBER 2014
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From Editor's Desk
Dear Researcher, Greetings! Research article in this issue discusses about motivational factor analysis. Let us review research around the world this month. Internet can be compared with a library. Like a like a library, the Internet is also a source of enjoyable, important and varied information that can be obtained and used by millions of people across the world.The Internet also, like our library contains different forms, like text sound and graphics. Super library does not allow just anybody to browse books or cassettes this facility is available only for authorized members of the library. In a similar way only authorized users of the Internet can access it to obtain information. Internet is a worldwide collection of computer networks. Internet is a cooperative effort of many people and organizations. The computers on the Internet can communicate because they are physically linked and because they share a common language called TCP-IP language that two computers use to communicate. This definition describes acceptable messages and outlines the rules that two computers must follow to exchange those messages. The major transport protocol in Internet Protocol suite. It provides reliable communication between two computers in the network. The network protocol in the internet IP provides a best effort to deliver an IP packet between two networks on the Internet.
MANETs are a kind of wireless ad hoc networks that usually has a routable networking environment on top of a Link Layer ad hoc network. The growth of laptops and 802.11/Wi-Fi wireless networking has made MANETs a popular research topic since the mid 1990s. Many academic papers evaluate protocols and their abilities, assuming varying degrees of mobility within a bounded space, usually with all nodes within a few hops of each other. It has been an absolute pleasure to present you articles that you wish to read. We look forward to many more new technologies related research articles from you and your friends. We are anxiously awaiting the rich and thorough research papers that have been prepared by our authors for the next issue. Thanks, Editorial Team IJITCE
INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.4 NO.12 DECEMBER 2014
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Editorial Members
Dr. Chee Kyun Ng Ph.D
Department of Computer and Communication Systems, Faculty of Engineering,Universiti Putra Malaysia,UPMSerdang, 43400 Selangor,Malaysia. Dr. Simon SEE Ph.D Chief Technologist and Technical Director at Oracle Corporation, Associate Professor (Adjunct) at Nanyang Technological University Professor (Adjunct) at ShangaiJiaotong University, 27 West Coast Rise #08-12,Singapore 127470 Dr. sc.agr. Horst Juergen SCHWARTZ Ph.D,
Humboldt-University of Berlin,Faculty of Agriculture and Horticulture,Asternplatz 2a, D-12203 Berlin,Germany Dr. Marco L. BianchiniPh.D
Italian National Research Council; IBAF-CNR,Via Salaria km 29.300, 00015 MonterotondoScalo (RM),Italy Dr. NijadKabbaraPh.D Marine Research Centre / Remote Sensing Centre/ National Council for Scientific Research, P. O. Box: 189 Jounieh,Lebanon Dr. Aaron Solomon Ph.D Department of Computer Science, National Chi Nan University,No. 303, University Road,Puli Town, Nantou County 54561,Taiwan Dr. S.Pannirselvam M.Sc., M.Phil., Ph.D
Associate Professor & Head, Department of Computer Science, Erode Arts & Science College (Autonomous),Erode, Tamil Nadu, India. Dr. Arthanariee. A. M M.Sc.,M.Phil.,M.S.,Ph.D
Director - Bharathidasan School of Computer Applications, Ellispettai, Erode, Tamil Nadu,India Dr. Takaharu KAMEOKA, Ph.D
Professor, Laboratory of Food, Environmental & Cultural Informatics Division of Sustainable Resource Sciences, Graduate School of Bioresources,Mie University, 1577 Kurimamachiya-cho, Tsu, Mie, 514-8507, Japan Dr. M. Sivakumar M.C.A.,ITIL.,PRINCE2.,ISTQB.,OCP.,ICP. Ph.D. Project Manager - Software,Applied Materials,1a park lane,cranford,UK Dr. S.Prasath M.Sc., M.Phil., Ph.D Assistant Professor, Department of Computer Science, Erode Arts & Science College (Autonomous),Erode, Tamil Nadu, India. Dr. Bulent AcmaPh.D Anadolu University, Department of Economics,Unit of Southeastern Anatolia Project(GAP),26470 Eskisehir,TURKEY Dr. SelvanathanArumugamPh.D
Research Scientist, Department of Chemistry, University of Georgia, GA-30602,USA.
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Dr. Renato J. orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business School,RuaItapeva, 474 (8° andar),01332-000, São Paulo (SP), Brazil Visiting Scholar at INSEAD,INSEAD Social Innovation Centre,Boulevard de Constance,77305 Fontainebleau - France Y. BenalYurtlu Assist. Prof. OndokuzMayis University Dr.Sumeer Gul Assistant Professor,Department of Library and Information Science,University of Kashmir,India Dr. ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg., Rm 120,Hampton University,Hampton, VA 23688 Dr. Renato J. Orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business SchoolRuaItapeva, 474 (8° andar),01332-000, São Paulo (SP), Brazil Dr. Lucy M. Brown, Ph.D. Texas State University,601 University Drive,School of Journalism and Mass Communication,OM330B,San Marcos, TX 78666 JavadRobati Crop Production Departement,University of Maragheh,Golshahr,Maragheh,Iran VineshSukumar (PhD, MBA) Product Engineering Segment Manager, Imaging Products, Aptina Imaging Inc. Dr. Binod Kumar PhD(CS), M.Phil.(CS), MIAENG,MIEEE HOD & Associate Professor, IT Dept, Medi-Caps Inst. of Science & Tech.(MIST),Indore, India Dr. S. B. Warkad Associate Professor, Department of Electrical Engineering, Priyadarshini College of Engineering, Nagpur, India Dr. doc. Ing. RostislavChoteborský, Ph.D. Katedramateriálu a strojírenskétechnologieTechnickáfakulta,Ceskázemedelskáuniverzita v Praze,Kamýcká 129, Praha 6, 165 21 Dr. Paul Koltun Senior Research ScientistLCA and Industrial Ecology Group,Metallic& Ceramic Materials,CSIRO Process Science & Engineering Private Bag 33, Clayton South MDC 3169,Gate 5 Normanby Rd., Clayton Vic. 3168 DR.ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg.,HamptonUniversity,Hampton, VA 23688 Mr. Abhishek Taneja B.sc(Electronics),M.B.E,M.C.A.,M.Phil.,
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Naik Nitin AshokraoB.sc,M.Sc Lecturer in YeshwantMahavidyalayaNanded University Dr.A.Kathirvell, B.E, M.E, Ph.D,MISTE, MIACSIT, MENGG Professor - Department of Computer Science and Engineering,Tagore Engineering College, Chennai Dr. H. S. Fadewar B.sc,M.sc,M.Phil.,ph.d,PGDBM,B.Ed. Associate Professor - Sinhgad Institute of Management & Computer Application, Mumbai-BangloreWesternly Express Way Narhe, Pune - 41 Dr. David Batten Leader, Algal Pre-Feasibility Study,Transport Technologies and Sustainable Fuels,CSIRO Energy Transformed Flagship Private Bag 1,Aspendale, Vic. 3195,AUSTRALIA Dr R C Panda (MTech& PhD(IITM);Ex-Faculty (Curtin Univ Tech, Perth, Australia))Scientist CLRI (CSIR), Adyar, Chennai - 600 020,India Miss Jing He PH.D. Candidate of Georgia State University,1450 Willow Lake Dr. NE,Atlanta, GA, 30329 Jeremiah Neubert Assistant Professor,MechanicalEngineering,University of North Dakota Hui Shen Mechanical Engineering Dept,Ohio Northern Univ. Dr. Xiangfa Wu, Ph.D. Assistant Professor / Mechanical Engineering,NORTH DAKOTA STATE UNIVERSITY SeraphinChallyAbou Professor,Mechanical& Industrial Engineering Depart,MEHS Program, 235 Voss-Kovach Hall,1305 OrdeanCourt,Duluth, Minnesota 55812-3042 Dr. Qiang Cheng, Ph.D. Assistant Professor,Computer Science Department Southern Illinois University CarbondaleFaner Hall, Room 2140-Mail Code 45111000 Faner Drive, Carbondale, IL 62901 Dr. Carlos Barrios, PhD Assistant Professor of Architecture,School of Architecture and Planning,The Catholic University of America Y. BenalYurtlu Assist. Prof. OndokuzMayis University Dr. Lucy M. Brown, Ph.D. Texas State University,601 University Drive,School of Journalism and Mass Communication,OM330B,San Marcos, TX 78666 Dr. Paul Koltun Senior Research ScientistLCA and Industrial Ecology Group,Metallic& Ceramic Materials CSIRO Process Science & Engineering Dr.Sumeer Gul Assistant Professor,Department of Library and Information Science,University of Kashmir,India Dr. ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg., Rm 120,Hampton University,Hampton, VA 23688
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Dr. Renato J. Orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business School,RuaItapeva, 474 (8° andar)01332-000, São Paulo (SP), Brazil Dr. Wael M. G. Ibrahim Department Head-Electronics Engineering Technology Dept.School of Engineering Technology ECPI College of Technology 5501 Greenwich Road - Suite 100,Virginia Beach, VA 23462
Dr. Messaoud Jake Bahoura Associate Professor-Engineering Department and Center for Materials Research Norfolk State University,700 Park avenue,Norfolk, VA 23504 Dr. V. P. Eswaramurthy M.C.A., M.Phil., Ph.D., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 007, India. Dr. P. Kamakkannan,M.C.A., Ph.D ., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 007, India. Dr. V. Karthikeyani Ph.D., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 008, India. Dr. K. Thangadurai Ph.D., Assistant Professor, Department of Computer Science, Government Arts College ( Autonomous ), Karur - 639 005,India. Dr. N. Maheswari Ph.D., Assistant Professor, Department of MCA, Faculty of Engineering and Technology, SRM University, Kattangulathur, Kanchipiram Dt - 603 203, India.
Mr. Md. Musfique Anwar B.Sc(Engg.) Lecturer, Computer Science & Engineering Department, Jahangirnagar University, Savar, Dhaka, Bangladesh. Mrs. Smitha Ramachandran M.Sc(CS)., SAP Analyst, Akzonobel, Slough, United Kingdom. Dr. V. Vallimayil Ph.D., Director, Department of MCA, Vivekanandha Business School For Women, Elayampalayam, Tiruchengode - 637 205, India. Mr. M. Moorthi M.C.A., M.Phil., Assistant Professor, Department of computer Applications, Kongu Arts and Science College, India PremaSelvarajBsc,M.C.A,M.Phil Assistant Professor,Department of Computer Science,KSR College of Arts and Science, Tiruchengode Mr. G. Rajendran M.C.A., M.Phil., N.E.T., PGDBM., PGDBF., Assistant Professor, Department of Computer Science, Government Arts College, Salem, India. Dr. Pradeep H Pendse B.E.,M.M.S.,Ph.d Dean - IT,Welingkar Institute of Management Development and Research, Mumbai, India Muhammad Javed Centre for Next Generation Localisation, School of Computing, Dublin City University, Dublin 9, Ireland Dr. G. GOBI Assistant Professor-Department of Physics,Government Arts College,Salem - 636 007 Dr.S.Senthilkumar Post Doctoral Research Fellow, (Mathematics and Computer Science & Applications),UniversitiSainsMalaysia,School of Mathematical Sciences, Pulau Pinang-11800,[PENANG],MALAYSIA. Manoj Sharma Associate Professor Deptt. of ECE, PrannathParnami Institute of Management & Technology, Hissar, Haryana, India RAMKUMAR JAGANATHAN Asst-Professor,Dept of Computer Science, V.L.B Janakiammal college of Arts & Science, Coimbatore,Tamilnadu, India
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Dr. S. B. Warkad Assoc. Professor, Priyadarshini College of Engineering, Nagpur, Maharashtra State, India Dr. Saurabh Pal Associate Professor, UNS Institute of Engg. & Tech., VBS Purvanchal University, Jaunpur, India Manimala Assistant Professor, Department of Applied Electronics and Instrumentation, St Joseph’s College of Engineering & Technology, Choondacherry Post, Kottayam Dt. Kerala -686579 Dr. Qazi S. M. Zia-ul-Haque Control Engineer Synchrotron-light for Experimental Sciences and Applications in the Middle East (SESAME),P. O. Box 7, Allan 19252, Jordan Dr. A. Subramani, M.C.A.,M.Phil.,Ph.D. Professor,Department of Computer Applications, K.S.R. College of Engineering, Tiruchengode - 637215 Dr. SeraphinChallyAbou Professor, Mechanical & Industrial Engineering Depart. MEHS Program, 235 Voss-Kovach Hall, 1305 Ordean Court Duluth, Minnesota 55812-3042 Dr. K. Kousalya Professor, Department of CSE,Kongu Engineering College,Perundurai-638 052 Dr. (Mrs.) R. Uma Rani Asso.Prof., Department of Computer Science, Sri Sarada College For Women, Salem-16, Tamil Nadu, India. MOHAMMAD YAZDANI-ASRAMI Electrical and Computer Engineering Department, Babol"Noshirvani" University of Technology, Iran. Dr. Kulasekharan, N, Ph.D Technical Lead - CFD,GE Appliances and Lighting, GE India,John F Welch Technology Center,Plot # 122, EPIP, Phase 2,Whitefield Road,Bangalore – 560066, India. Dr. Manjeet Bansal Dean (Post Graduate),Department of Civil Engineering,Punjab Technical University,GianiZail Singh Campus,Bathinda -151001 (Punjab),INDIA Dr. Oliver Jukić Vice Dean for education,Virovitica College,MatijeGupca 78,33000 Virovitica, Croatia Dr. Lori A. Wolff, Ph.D., J.D. Professor of Leadership and Counselor Education,The University of Mississippi,Department of Leadership and Counselor Education, 139 Guyton University, MS 38677
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Contents
Energy Efficient Location Privacy Preserving Based On Service Level Agreement In Mobile Ad-Hoc Network by
J.Partha sarathy FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF.FFFFFFFFF.[249]
INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.4 NO.12 DECEMBER 2014
249
Energy Efficient Location Privacy Preserving Based On Service Level
Agreement in Mobile Ad-Hoc Network J.Partha sarathy
Research Scholar, Anna University, Chennai. E-mail: [email protected]
Abstract--- To establish an Energy Efficient Location Privacy Preserving (EELPP) Protocol for MANETs the intention of network to the location. It makes important reduction in the energy consumption of the mobile nodes batteries by restrictive the area of discover a new direction to a less important zone. Thus, organize packets overhead are considerably reduced. In EELPP an orientation wireless base station is used and the network's round area centered at the base station is alienated into six equivalent sub-areas. At route discovery in its place of flooding control packets to the complete network area, they are flooded to simply the sub-area of the target mobile node. The base station stores locations of the movable nodes in a point table. Service Level Agreement (SLA) supports application server technologies with active resource management; request servers can animatedly alter the quantity of resources assign to hosted applications on-demand so as to get together application-level Quality of Service requirements. To demonstrate the efficiency of the proposed protocol we present simulation using NS-2. Simulation consequences show that EELAR protocol makes a development in control packet above your head and delivery ratio compared to AODV, LAR, and DSR protocols. To reduce the energy cost, nodes are active only during data transmission and the intersection of node creates a larger compound node, to reduce the number of fake packets and also boost solitude preservation. Simulation and analytical results demonstrate that our scheme can provide stronger privacy protection than routing-based schemes and requires much less energy than data preventing based. Keywords— SLA, EELPP, Quality of Service, MANET.
I . INTRODUCTION Mobile ad hoc networks consist of wireless mobile hosts
that exchange a few words with each other, in the absence of a
fixed transportation.1 Routes among two hosts in a Mobile Ad
hoc Network (MANET) may consist of hops from end to end
other hosts in the system. Host mobility can cause
normalchangeable topology changes. Therefore, the task of
finding and maintain routes in MANET is nontrivial. Many
protocols have been proposed for mobile ad hoc networks,
with the aim of achieving efficient routing [1]. These
algorithms differ in the approach used for searching a new
route and/or modifying a known route.
The aim of AODV route innovation is to set up a
bidirectional route from the source to the purpose. Route
discovery works by flood the network with route request
(RREQ) packets. Every node that receives the RREQ looks in
its direction-finding table to the destination or if it has a new
sufficient route to the destination. If it does, it sends a unicast
route reply (RREP) communication back to the source;
otherwise it rebroadcasts the RREQ in [3]. The RREP is
routed back on a temporary reverse route that was created by
the RREQ. Each node keeps track of its local connectivity,
this is perform either by using intermittent exchange of
messages, or by using feedback from the link layer upon
unsuccessful transmission.
In adding together to the work related to power-efficient
algorithms, Location-Aided Routing protocols such as
location were also proposed to make informed direction-
finding decisions based on in sequence about node location.
LAR is different from earlier work related to location-aided
routing in that work,when creationdirection-finding decisions
[5, 6]. To minimizing the power consumption on end-to-end
routes is the major objective. In fussy, the purpose of previous
algorithms is to find outa shortest-path route that reaches the
end with the smallest number of middle hops at minimize the
energy consumption in transmitting a packet.
The mobile node’s with the goal of diminishing routing-
related visual projection in mobile and ad hoc networks. It
uses location in order of the movable nodes to limit the search
for a new route to a smaller area of the ad hoc system which
results in a momentous reduction in the number of routing
messages and consequently the energy utilization of the
mobile nodes batteries is decreaseconsiderably. In order to
reduce the control overhead due to screen storm in the
network when manage packets are flooded into whole network
[8, 9].
II . RELATED WORK A distributed framework which predicts the dependability
of the mobile nodes, this construction is implemented with the
four different basic constrains for the subtraction of the
reliability of the mobile node. The constrains are, A mobile
node must stimulate the routing process by means of its
collaboration, The organization given by the mobile nodes
must be truthful, the direction-finding process of the MANET
must be in such a way that the packet has to be send from
beginning to end energy efficient path, the message
communication complexity regarding the intimation of
malicious nodes in the MANET must be very less. In the
authors have a second hand status mechanism which
incessantly monitors its neighbor nodes in the ad hoc
Network. In this each and every node is implemented with
INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.4 NO.12 DECEMBER 2014
250
repute evaluation machine by means of maintain the
reputation index and reputation table. For each successful
delivery of a node, the reputation index value gets
incremented and updated in the standing table. This paper
proposes three heuristic search methods for making decision
from the obtained values of packet delivery rates of each and
every node [1].
MANET in using dynamic Bayesian signaling The heuristics methods are based on number of hops away
from the source, single increase and double augmentation, the
early audition. In the authors have accessible a second hand
reputation mechanism which makes use of reputation values
compute by the neighbors of the mobile nodes. In this authors
also derives an entrance value to obtain effectual
discrimination of the non-corporation, non-trustworthy nodes
from the normal node in the MANET. This paper also comes
up with an integrated approach for detecting and extenuating
selfish nodes. This is implemented based on game theory
which investigates the network performance. In the authors
have modeled an algorithm based on dynamic Bayesian
signaling game for the improving the collaboration among the
mobile nodes in ad hoc network. This mechanism
discriminates the nodes based on the behavior of normal
nodes and a malicious node by earnings of continues
monitoring of each and every node by its neighbors. This is
implementing by means of the concepts like sequential
rationality and random property.
In the authors have addressed friendship mechanism for
the enhancement of the cooperation of the mobile nodes by
optimizing the property, the decrease of false positives i.e.
incorrect ID of the selfish nodes can be reduces significantly.
This method is implemented in two dissimilar methodologies
viz., direct and roundabout friend indirect instrument [1, 2]. In
this, author have also analyzed the various aspects of partition
in terms of six degrees and also suggested solutions to get find
of all types of separation. They also implemented a voting
strategy for selective malicious node from normal node. In the
authors have analyses different problem that arise while
achieving assistance among the mobile node in ad hoc
networks. The authors have Levesque measure based on game
theory, which derives the probability values of all the nodes
participating in the statement. In this, behavior of set of
connections is also analyses based on equilibrium function. Cornbach Alpha Coefficient Based Reputation Mechanism (Cactm)
In this formulate a Cornbach alpha Coefficient based
standing instrument (CACTM) for influential the trust of each
and every nodes current in an ad location. MAODV is the
multicast protocol used for our imitation study. We employ
the group announcement between the nodes in order to study
the impact of mean present during group announcement. The
reproduction study was accepted out to compare the present
concepts” model with the SHRCM model based on the
assessment parameter namely Throughput, packet delivery
ratio and total overhead by varying the number of mobile
nodes and number of compromised nodes deployed for group
announcement. The remaining part of the paper is organized
as follows. Enumerates a detailed review survey of the some
highly developed process works carried out with possible
statistical coefficients that could be beneficial for checking
node Consistencies are presented along with the extract of the
survey [3]. In the detailed version of the Cornbach alpha
coefficient based trust model is depicted. The detailed
algorithmic steps for the formulated trust model to be
deployed in the MAODV protocol.
Application server clustering is discussed, where the
servers are cluster like master and Slave format and perform
group announcement. The problem with the solution is the
server has to be up at all the time in all the nodes of the cluster
to meet the necessities. This makes the resource unusable and
reduces the throughput of the server which does not used at
lower load setting. So that the server has to be up and used at
dynamic environment when there is higher load arises.
Whenever the number of received http request increases the
process of load complementary is comes into play [6]. Every
server has the bound in number of request management and
could not handle request more than that, also highly loaded
server could not provide service at least response time. The
load complementary procedure has to point all these issues
before development the request to a server. The quality of
service of any server or service is depending on throughput
and timeliness, reliability. If the server response quickly then
it will be good and will increase the throughput of the server
[9].
III . PROPOSED APPROACH The mobile ad hoc network is a new model of
wireless communication and has gained growing
consideration from industry. As in all-purpose network
environment, mobile ad-hoc networks have to deal with an
assortment of security threats. Due to its nature of active
network topology, direction-finding in mobile ad-hoc system
plays a vital role for the presentation of the networks. It is
reasonable that most security threats target routing protocol
the weakest point of the mobile ad-hoc network. There are a
variety of study and much research in this field in a challenge
to propose more secure protocols. However, there is not a
complete routing protocol that can secure the process of a
complete network in every situation.
Privacy fortification in routing of MANET has
paying attention a lot of research efforts. A number of
privacy-preserving routing schemes have been brought
forward. The unidentified routing protocol mainly considers
ambiguity and partial unlink ability in MANET, most of them
exploit asymmetric feature of public key cryptosystems to
accomplish their goals. Complete unlink ability are not
definite due to incomplete content defense. This method use
Energy Efficient Location Privacy Preserving Protocol
(EELPP) that is an optimization to the Location Aided
Routing. EELPP makes significant reduction in the energy
consumption of the mobile nodes batteries through restraining
the area of discovering a new route to a smaller zone. Thus,
control packets overhead are considerably reduced and the
mobile nodes life time is increased.
3.1 Estimation of Energy Savings:
We next evaluate the energy saved by the proposed
probabilistic localization approach. Assume the sensor node
has three basic energy consumption types—sensing,
transmitting and receiving, and these power values (energy
per unit time) areE�, Et and Er, respectively. If we select all sensors that reported the target for querying, the total energy
INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.4 NO.12 DECEMBER 2014
251
consumed for the event happening at time instant t can be
evaluated using the following equation:
����� = ������� + �����
����� = ���
� = � ����������
��������
�� = � − �∗ = � � �� �!" $%$&'(���� ���
�������− ) %*+,$- $%$&'���� Where E1 is the energy required for reporting the
detection of an object the parameters T1, T2 and T3 denote the
lengths of time involved in the transmission and reception,
which are directly proportional to the sizes of data, control
messages to query sensors, and the detailed sensor data
transmitted to the cluster head. The parameter Ts is the time of
sensing activity of sensors. The parameters E denotes the total
energy in this case for target localization from tstart to tend.
Similarly, for the proposed probabilistic localization approach,
we have
Where
. = ��� + �� + ����/./1 �/2� ���34
Since � (t) is always less than or equal to 5� (t),
We have
∇E ≥ 0 So we consumed energy and rectifying the damage
coil or node I during data transmission using magnetic node in
network.
To show the effectiveness of the proposed protocol
we obtainable simulations using NS-2. In addition,
reproduction results show that there is a tradeoff sandwiched
between decreasing control overhead by increasing number of
areas and growing route loss by mounting the number of
network areas due to node mobility. This suggests that most
favorable number of network area is reliant on the nodes
mobility. We have to take a different parameter like as
throughput, release ratio, packet wait on the network. In as
much as all these protocols strived to decrease power
expenditure either at node level or on the network in general,
all proposed solution have a kind of trade-off that let go to
have clear energy saving. The observed performance metrics
based on the reproduction outcome posted by the various
algorithms under review. The number of routes recognized
during route discovery, the message overheads the cost of
performing arts the data packet show and reception by
different nodes, normal energy preserved, and the network
throughput, and the end-to-end, data packet delay.
ENERGY EFFICIENT LOCATION PRIVACY
ALGORITHM
(i). Energy based Packet Transmit
Step 1: If (Any Packet sent P)
{
Forward Packet P
}
Step 2: If (received A Packet)
{
Step 3: If (Received Packet==Data_Ack)
{
Step 4: Route Location base transmission
Verify the Id
Step 5: If (Verification Successful)
Energy save mode
{
Step 6: Discard the route noted
Else
{
Step 7: Drop the packet
Energy loss
}
Step 8: Repeat the procedure for next packet
}
}
The data are sending by wireless mobile ad-hoc
network from source (S) to destination (D) on network
topology. The Packets (P) transmit the data to destination
intermediately work from beginning to end from source to
destination Energy efficient based broadcast on network.
Neighbor discovery node has to collect the data sending and
receiving process on the network. The traffic situation to be
checked on mobility node, the minimum number of connected
set to the objective on the system. It’s more to save the power
and shortest path route detection on their network. It is
plummeting the packet’s delay and the reduce energy model
on their wireless network. The associated set is more well-
organized and scalable network on that time of the network
process.
IV. PERFORMANCE ANALYSIS The goal of the reproduction is to analyze the
behavior of the AODV by deploying Networks. The
replication environment is creating in NS-2, a network
simulator that provides support for simulate mesh wireless
networks. NS-2 using C++ language and it uses the Object
Oriented Tool Command Language (OTCL). It came as from
Tool Command Language (TCL). They use a setting
consisting of 30 wireless nodes roaming over a simulation
area of 1200 meters x 1200 meters flat space in payment for
10 seconds of simulation time. The radio and IEEE 802.11
MAC layer models used. Nodes in our simulation move
according to accidental Waypoint mobility model, which is in
accidental direction with maximum speed from 0 m/s to 20
m/s. A free space proliferation channel is unspecific for the
simulation. Hence, the reproduction experiment do not
account for the overhead produced when a multicast member
leaves a group and the assessment result.
Table 1: Simulation parameters
INTERNATIONAL JOURNAL OF
V. PERFORMANCE RESULThe simulation circumstances are calculated
charge the collision of system concentration on the
arrangement of the network model. The collision of
arrangement density is deploying 0 – 100 nodes more than a
permanent open area topology of 1200m x 1200m using 5m/s
node speed and identical source-destination connections.
AODV have a quantity of metrics that can be used for their
presentation network.
Throughput Performance
This is the output of total number of customary data
packets divided by total number of sent data packets.
Fig.1. Performance of throughputThis metric gives an estimate of how efficient a
routing protocol is, since the number of routing packets sent
per data packet gives an idea of how well the protocol keeps
the routing in order updated. The higher the Normal Routing
Load metric is, the higher the overhead of routing packets and
consequently the lower the efficiency of the protocol.
Energy Level on Network The energy level on the network is must and most
significant one of the quick data communication on their
network. its calculated from their each node
is must of the network. if any node none to data transmit that
node to save the energy on the network.
Energy consumption = no of packets * initial energy level
Remained energy = energy consumption –
node
Fig.2. Energy consumption on network
The End-to-End delay They have calculate a average number of delay on
network, it includes all possible delay caused by buffering
through route detection latency, queuing at the border queue,
retransmission delay on medium access control, spread and
move time.
D = (Tr –Ts)
Where Tr is receive Time and Ts is sent Time.
0
50
100
2 4 6 8
No
.of
Pa
cke
ts
Time (min)
REPLICA, Load
Balancing
0
5
10
15
2 4 6 8 10
En
erg
y
Lev
el(
Jou
les)
Time (min)
REPLICA, Load Balancing
OURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING
VOL
252
V. PERFORMANCE RESULTS calculated mainly to
concentration on the
arrangement of the network model. The collision of
100 nodes more than a
open area topology of 1200m x 1200m using 5m/s
destination connections.
a quantity of metrics that can be used for their
This is the output of total number of customary data
packets divided by total number of sent data packets.
1. Performance of throughput gives an estimate of how efficient a
routing protocol is, since the number of routing packets sent
per data packet gives an idea of how well the protocol keeps
the routing in order updated. The higher the Normal Routing
ead of routing packets and
consequently the lower the efficiency of the protocol.
The energy level on the network is must and most
significant one of the quick data communication on their
network. its calculated from their each node energy utilization
is must of the network. if any node none to data transmit that
Energy consumption = no of packets * initial energy level
– no of packets in
Energy consumption on network
They have calculate a average number of delay on
network, it includes all possible delay caused by buffering
through route detection latency, queuing at the border queue,
retransmission delay on medium access control, spread and
here Tr is receive Time and Ts is sent Time.
Fig.3. End to End Delay on network
V. CONCLUSIONIn our work we have using a neighbor u
Efficient Location Privacy Preserving Protocol (EELPP) that
is an optimization to the Location Aided Routing
location based data transmission on their network. It has
mainly focused on this technique to get better the network
performance and energy consumption model on the network.
In our future work to implement the network protocol based
energy efficient data transmission and more security based
data transmission on the network. Used Security based routing
protocols and reduces data loss on the network.
REFERENCES[1]. Mohammad A. Mikki, “Energy Efficient Location Aided
Routing Protocol for Wireless MANETs”, Vol. 4, No. 1 & 2,
2009.
[2]. P. Thamizharasi, D.Vinoth, “Unobservable Privacy
Preserving Routing in MANET”, Volume
2013.
[3]. Karim El Defrawy, Gene Tsudik, “Privacy
Location-Based On-Demand Routing in MANETs”, VOL.
Dec 2011.
[4]. Ajay Shah, Hitesh Gupta, “Energy Efficient Routing
Protocols for Mobile Ad Hoc Networks”, Vol. 1 Issue 5, July
– 2012.
[5]. Mohamed M. E. A. Mahmoud, “A Cloud
for Protecting Source-Location Privacy against Hotspot
Locating Attack in Wireless Sensor Networks”, 2011
[6]. K. Vinoth Kumar, G.Arunsathish, “Privacy
Routing Protocol for Mobile Ad Hoc Networks”, Vol.11,
No.11, March 2013.
[7]. Humaira Nishat, “Energy Efficient Routing Protocols for
Mobile Ad Hoc Networks”, Volume 26
[8]. J. Haas, “Secure Data Communication in Mobile Ad Hoc
Networks”, VOL. 24, NO. 2, FEB 2006
[9]. Young-Bae KO, “Location
mobile ad hoc networks”, science publication university
[10]. Panagiotis, Papadimitratos, “Secure Data Transmission
in Mobile Ad Hoc Networks”, 19 Sep 2010.
10
10
REPLICA, Load Balancing
0
10
20
2 4 6No
.of
Pa
cke
ts
(De
lay
)
Time (min)
PARAMETERS
Version
Propagation Model
Routing Protocols
Area
Broadcast Area
Transfer Pattern
Mobility Model
Transfer per Packet
NGINEERING (ISSN:2045-8711) OL.4 NO.12 DECEMBER 2014
Fig.3. End to End Delay on network
V. CONCLUSION work we have using a neighbor using Energy
Efficient Location Privacy Preserving Protocol (EELPP) that
is an optimization to the Location Aided Routing (LAR) for
location based data transmission on their network. It has
mainly focused on this technique to get better the network
performance and energy consumption model on the network.
In our future work to implement the network protocol based
ent data transmission and more security based
data transmission on the network. Used Security based routing
protocols and reduces data loss on the network.
REFERENCES Mohammad A. Mikki, “Energy Efficient Location Aided
MANETs”, Vol. 4, No. 1 & 2,
P. Thamizharasi, D.Vinoth, “Unobservable Privacy-
Preserving Routing in MANET”, Volume-2, Issue-3, January
Karim El Defrawy, Gene Tsudik, “Privacy-Preserving
Demand Routing in MANETs”, VOL. 29,
Ajay Shah, Hitesh Gupta, “Energy Efficient Routing
Protocols for Mobile Ad Hoc Networks”, Vol. 1 Issue 5, July
Mohamed M. E. A. Mahmoud, “A Cloud-Based Scheme
Location Privacy against Hotspot-
Attack in Wireless Sensor Networks”, 2011
K. Vinoth Kumar, G.Arunsathish, “Privacy-Preserving
Routing Protocol for Mobile Ad Hoc Networks”, Vol.11,
Humaira Nishat, “Energy Efficient Routing Protocols for
Networks”, Volume 26– No.2, July 2011
J. Haas, “Secure Data Communication in Mobile Ad Hoc
Networks”, VOL. 24, NO. 2, FEB 2006
Bae KO, “Location-Aided Routing (LAR) in
mobile ad hoc networks”, science publication university
, Papadimitratos, “Secure Data Transmission
in Mobile Ad Hoc Networks”, 19 Sep 2010.
8 10Time (min)
REPLICA, Load Balancing
VALUE
Ns-all-in-one 2.28
Two Ray Ground
AODV
1200m x 1200m
50-250 m
UDP,CBR
Random Mobility
512 tes
@IJITCE Publication@IJITCE Publication