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LOCATION-BASED QUERIES IN MOBILE ENVIRONMENTS

ABSTRACT:

In location-based services, users with location-aware mobile devices are able to make

queries about their surroundings anywhere and at any time. While this ubiquitous computing

paradigm brings great convenience for information access, it also raises concerns over potential

intrusion into user location privacy. To protect location privacy, one typical approach is to cloak

user locations into spatial regions based on user-specified privacy requirements, and to transform

location-based queries into region-based queries.

We study the representation of cloaking regions and show that a circular region generallyleads to a small result size for region based queries. oreover, the progressive query processing

mode achieves a shorter response time than the bulk mode by parallelizing the query evaluation

and result transmission.

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EXISTING SYSTEM:

! "#isting techniques cannot be used effectively in a wireless broadcast

environment, where only sequential data access is supported.

! It may not scale to very large user populations.

! In an e#isting system to communicate with the server, a client must most likely

use a fee-based cellular-type network to achieve a reasonable operating range.

! Third, users must reveal their current location and send it to the server, which may

be undesirable for privacy reasons

PROPOSED SYSTEM:

! This $ystem is a novel approach for reducing the spatial query access latency by

leveraging results from nearby peers in wireless broadcast environments.

! %ur scheme allows a mobile client to locally verify whether candidate ob&ects

received from peers are indeed part of its own spatial query result set.

! The method e#hibits great scalability' the higher the mobile peer density, the more the

queries answered by peers.

! The query access latency can be decreased with the increase in clients.

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MODULE DESCRIPTION:

NETWORK MODULE:

(lient-server computing or networking is a distributed application architecture that

partitions tasks or workloads between service providers )servers* and service requesters, called

clients. %ften clients and servers operate over a computer network on separate hardware. +

server machine is a high-performance host that is running one or more server programs which

share its resources with clients. + client also shares any of its resources (lients therefore initiate

communication sessions with servers which await )listen to* incoming requests.

WIRELESS BROADCASTING:

The transmission schedule in a wireless broadcast system consists of a series of broadcast

cycles. Within each cycle the data are organized into a number of inde# and data buckets. +

bucket )which has a constant size* corresponds to the smallest logical unit of information, similar

to the page concept in conventional storage systems. + single bucket may be carried into multiple

network packets )i.e., the basic unit of information that is transmitted over the air*. owever,

they are typically assumed to be of the same size )i.e., one bucket equals one packet*.

LOCATION BASED SERVICES:

In location-based services, users with location-aware mobile devices are able to make

queries about their surroundings anywhere and at any time. While this ubiquitous computing

paradigm brings great convenience for information access, it also raises concerns over potential

intrusion into user location privacy. To protect location privacy, one typical approach is to cloak

user locations into spatial regions based on user-specified privacy requirements, and to transform

location-based queries into region-based queries.

ocation-based services )/$* are emerging as a ma&or application of mobile geospatial

technologies. In /$, users with location-aware mobile devices are able to make queries about

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their surroundings anywhere and at any time. $patial range queries and k-nearest-neighbor

)k00* queries are two types of the most commonly used queries in /$. 1or e#ample, a user can

make a range query to find out all shopping centers within a certain distance of her current

location, or make a k00 query to find out the k nearest gas stations. In these queries, the user has

to provide the /$ server with her current location.

PRIVACY QUERY PROCESSING:

To protect location privacy, one typical approach is to cloak user locations into spatial

regions based on user-specified privacy requirements, and to transform location-based queries

into region-based queries.

1or e#ample, a user can make a range query to find out all shopping centers within a

certain distance of her current location, or make a k00 query to find out the k nearest gas

stations. In these queries, the user has to provide the /$ server with her current location. /ut

the disclosure of location information to the server raises privacy.

ocation cloaking is one typical approach to protecting user location privacy in /$.

2pon receiving a location-based spatial query )e.g., a range query or a k00 query* from the user,

the system cloaks the user3s current location into a cloaking regionbased on the user3s privacy

requirement. The location-based spatial query is thus transformed into a region-based spatial

querybefore being sent to the /$ server. The /$ server then evaluates the region-based query

and returns a result superset, which contains the query results for all possible location points in

the cloaking region. 1inally, the system refines the result superset to generate the e#act results for

the query location.

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IN MODULE GIVEN INPUT AND EXPECTED OUTPUT:

The 4uery location and preferred criteria are the input for obile ost. The obile ost

gets the results for the corresponding location and criteria, with considerably reducing latency

while getting results from neighboring peers.