Contribution. Problem Definition. Related works. Network Model. Proposed QoS-aware Routing. The dynamic packet classifier. Energy-aware Geographic Forwarding Functions. Reliability Control. Delay Control.

1. OOnn QQooSS PPrroovviissiioonniinngg iinn CCoonntteexxtt--AAwwaarree
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Iffat Anjum(Roll: 16)
Nazia Alam(Roll: 28)
15th Batch.
DDaattee:: 19th April, 2012
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka
Slide 1

2. CCoonntteennttss
 Contribution.
 Problem Definition.
• Related works.
 Network Model.
 Proposed QoS-aware Routing.
• The dynamic packet classifier.
• Energy-aware Geographic Forwarding Functions.
• Reliability Control.
• Delay Control.
Slide 2
2
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

3. CCoonnttrriibbuuttiioonnss
 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.
3
Slide 3
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

4. Slide 4 PPrroobblleemm DDeeffiinniittiioonn
 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.
Green Networking Research Group 4
Dept. of Computer Science and Engineering, University of Dhaka

5. PPrroobblleemm DDeeffiinniittiioonn
 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.
5
Slide 5
Motivation
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Dept. of Computer Science and Engineering, University of Dhaka

6. Specificities ooff WWSSNN ffoorr HHeeaalltthhccaarree
6
Slide 6
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

7. NNeettwwoorrkk MMooddeell
Slide 7
7
Figure: Body Area Sensor Network (BASN)
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

8. NNeettwwoorrkk MMooddeell
The 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.
Slide 8
8
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

9. PPrrooppoosseedd QQooSS--aawwaarree RRoouuttiinngg
DMQoS 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.
Slide 9
9
Dynamic Packet Classifier
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

10. PPrrooppoosseedd QQooSS--aawwaarree RRoouuttiinngg
Slide 10
Figure : Data-centric multi-objective QoS-aware routing architecture.
10
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

11. PPrrooppoosseedd QQooSS--aawwaarree RRoouuttiinngg
Energy-aware Geographic Forwarding
Slide 11 Multiobjective Lexicographic Optimization Approach:
The most Important function being,
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Computer and Engineering,
University of Dhaka
11
The least important being,
So the lexicographic problem,
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

12. PPrrooppoosseedd QQooSS--aawwaarree RRoouuttiinngg
Energy-aware Geographic Forwarding
Slide 12 The lexicographic problem can be divided into two separate
problems with different constraint sets. Where the first problem is :
Green Networking Research Dept. of
Computer and Engineering,
University of Dhaka
12
And the second problem is:
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

13. PPrrooppoosseedd QQooSS--aawwaarree RRoouuttiinngg
Green Networking Research Dept. of
Computer and Engineering,
University of Dhaka
Slide 13
13
Reliability Control
Algorithm 1 : Reliability Control Algorithm, at each source node i
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

14. PPrrooppoosseedd QQooSS--aawwaarree RRoouuttiinngg
Green Networking Research Dept. of
Computer and Engineering,
University of Dhaka
Slide 14
14
Reliability Control
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

15. PPrrooppoosseedd QQooSS--aawwaarree RRoouuttiinngg
Green Networking Research Dept. of
Computer and Engineering,
University of Dhaka
Slide 15
15
Delay Control
Algorithm 2 : Delay Control Algorithm, at each node i
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

16. PPrrooppoosseedd QQooSS--aawwaarree RRoouuttiinngg
Slide 16
16
Delay Control
Green Networking Research Group
Dept. of Computer Science and Engineering, University of Dhaka

17. TThhaannkk YYoouu
Green Networking Research Group 17
Dept. of Computer Science and Engineering, University of Dhaka