On QoS Provisioning in Context-Aware On QoS Provisioning in Context-Aware Wireless Sensor Networks for HealthcareWireless Sensor Networks for Healthcare

Author:Author:Marion Souil,Marion Souil,Abdelmadjid Bouabdallah.Abdelmadjid Bouabdallah.

University of Technology of Compiegne, UMR CNRS 6599.University of Technology of Compiegne, UMR CNRS 6599.

Presented by:Presented by:Iffat Anjum(Roll: 16)Nazia Alam(Roll: 28)15th Batch.

Date:Date: 19th April, 2012

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Slide 1

ContentsContents

Contribution. Problem Definition.

• Related works.

Network Model. Proposed QoS-aware Routing.

• The dynamic packet classifier.• Energy-aware Geographic Forwarding Functions.• Reliability Control.• Delay Control.

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Slide 2

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

ContributionsContributions This paper studies the specific QoS requirements of

healthcare application, considering context-awareness as an essential part to adapt the network performance to a new situation.

Also discuss the strengths and weakness of related work regarding context awareness and different characteristics of WSN for healthcare.

It also points out remaining challenges and addresses open research issues on this subject.

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Slide 3

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Slide 4 Problem DefinitionProblem Definition Remote medical monitoring using WSN should consist

of many features like, Continuous medical monitoring, Emergency alerts, Location tracking, Home automation.

The QoS level must adapt itself dynamically ,as the patient condition may change so the QoS requirement also changes.

Scarce resources also makes it challenging to support context-awareness and to deal with security, fault tolerance and mobility.

4Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Problem DefinitionProblem Definition

There are very little research work has focused on QoS support for wireless sensor networks in health monitoring applications, a lot still need to be done to achieve context-aware WSN. And no single

The concern should be given to two perspectives, User-oriented, Network-oriented.

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Slide 5

Motivation

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Specificities of WSN for HealthcareSpecificities of WSN for Healthcare

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Slide 6

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Network ModelNetwork Model

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Slide 7

Figure: Body Area Sensor Network (BASN)

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Network ModelNetwork ModelThe network model has several basic components: All Biomedical sensors (BMSs) transmits data to a central

node, called body sensor mote (BSM). All BSMs process & forward data to multiple sink in multi-hop

fashion. In this architecture ,the master and slave BSMs form clusters of

BASN ,these clusters form the backbone network ,as shown in previous slide.

Each BSM node broadcast a HELLO packet to its neighbors which contains:• Its current position.• Residual energy.• Average queuing delays.

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Slide 8

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Proposed QoS-aware RoutingProposed QoS-aware RoutingDMQoS consists of 5 modules:

• The dynamic packet classifier.• Delay control.• Reliability control.• Energy-aware geographic routing.• QoS-aware queuing and scheduling.

• OP: Ordinary data packets.

• RP: Reliability driven data packets.

• DP: Delay driven data packets.

• CP: Most critical data packets.

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Slide 9

Dynamic Packet Classifier

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Proposed QoS-aware RoutingProposed QoS-aware Routing

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Slide 10

Figure : Data-centric multi-objective QoS-aware routing architecture.

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Proposed QoS-aware RoutingProposed QoS-aware Routing Energy-aware Geographic Forwarding

Green Networking Research Dept. of Computer Science and Engineering,

University of Dhaka

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Slide 11 Multiobjective Lexicographic Optimization Approach:

The most Important function being,

The least important being,

So the lexicographic problem,

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Proposed QoS-aware RoutingProposed QoS-aware Routing Energy-aware Geographic Forwarding

Green Networking Research Dept. of Computer Science and Engineering,

University of Dhaka

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Slide 12 The lexicographic problem can be divided into two separate problems with different constraint sets. Where the first problem is :

And the second problem is:

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Proposed QoS-aware RoutingProposed QoS-aware Routing

Green Networking Research Dept. of Computer Science and Engineering,

University of Dhaka

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Slide 13

Reliability ControlAlgorithm 1 : Reliability Control Algorithm, at each source node i

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Proposed QoS-aware RoutingProposed QoS-aware Routing

Green Networking Research Dept. of Computer Science and Engineering,

University of Dhaka

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Slide 14

Reliability Control

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Proposed QoS-aware RoutingProposed QoS-aware Routing

Green Networking Research Dept. of Computer Science and Engineering,

University of Dhaka

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Slide 15

Delay Control

Algorithm 2 : Delay Control Algorithm, at each node i

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Proposed QoS-aware RoutingProposed QoS-aware Routing

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Slide 16

Delay Control

Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka

Thank YouThank You

17Green Networking Research GroupDept. of Computer Science and Engineering, University of Dhaka