Introduction Project Contribution Problem Definition State-of-the-art works Proposed MAC protocol Performance Evaluation

1. B. SC. (HONS) 4TH YEAR PROJECT
Project Supervisor:
Dr. Md. Abdur Razzaque
Associate Professor,
Department of Computer Science and engineering,
University of Dhaka.
Presented by:
Iffat Anjum (Exam Roll: 543 )
Nazia Alam (Exam Roll: 555)
Date: 15th July, 2013

2. CONTENTS
 Introduction
 Project Contribution
 Problem Definition
 State-of-the-art works
 Proposed MAC protocol
 Performance Evaluation
2

3. INTRODUCTION
 Body Sensor Network (BSN):
 wireless network of wearable computing devices
 Applications:
 Medical and health-care environment
 Helps to protect those exposed to potentially life
threatening environments – e.g., battle field, deep
sea divers, space explorers
 Entertainment applications
3

4. INTRODUCTION
4
Figure: General BSN Architecture

5. PROJECT CONTRIBUTION
5
 Traffic Classification:
 Reliability critical packets
 Delay driven packets
 Emergency data packets, don’t suffer delay, or loss.
 Priority classification based on:
 Data generation rate,
 Traffic class, and
 Packet size.
 Dynamic MAC layer superframe structure
 Dynamic inactive period, for sensors and coordinator
 Energy Efficiency of the sensor nodes

6. PROJECT CONTRIBUTION
 We proposed A BSN MAC protocol called PLA-MAC.
 Performance Evaluated in NS-3
 Compared with the State-of-the-art protocols,
 IEEE 802.15.4.
 PNP-MAC.
 The proposed protocol has been published in a journal,
International Journal of Distributed Sensor Networks,
2013, as,
Traffic Priority and Load Adaptive MAC Protocol for
QoS Provisioning in Body Sensor Networks [32].
6

7. PROBLEM DEFINITION
 Giving an alternative solution, Addressing all the
short-comings of the state-of-the-art protocols.
 Providing a better design and implementation
method for BSN.
 QoS provisioning (Delay and Reliability):
 Traffic Classification.
 Priority Calculation.
 Energy efficiency.
7

8. STATE-OF-THE-ART WORK
 IEEE 802.15.4 [ 14,15,16] MAC protocol.
8
Figure: IEEE 802.15.4 Superframe Structure.

9. STATE-OF-THE-ART WORK
 LDTA-MAC [10].
9
Figure: Superframe structure of LDTA-MAC

10. STATE-OF-THE-ART WORK
 ATLAS [12].
10
Figure: Superframe structure of ATLAS

11.  PNP-MAC[13].
11
STATE-OF-THE-ART WORK
Figure: Superframe structure of PLA-MAC

12. COMPARISON OF THE STATE-OF-THE-ART
PROTOCOLS
Table: Characteristics of state-of-the-art protocols 12

13. PROPOSED PLA-MAC PROTOCOL

14. PROPOSED PLA-MAC
Network Model
14
Figure: Body sensor network topology

15. PROPOSED PLA-MAC
Superframe structure
15
Figure: Proposed PLA-MAC superframe structure

16. PROPOSED PLA-MAC
16
Figure: Overview of the developed QoS architecture

17. PROPOSED PLA-MAC
Traffic Classification
Back-off Calculation
 A node that sends either a data packet or a request packet
in CAP period , performs a random back-off.
 The back-off value is chosen from the range [0, 2Ti+2 -1],
Here, Ti is the traffic class number. 17

18. PROPOSED PLA-MAC
Priority Calculation
 The sensor nodes calculates the priority of each packet
using the following equation,
Here,
Pi = priority,
Ti = traffic class value,
Gi = data generation rate,
Si = size in bytes.
 The packets with the lowest traffic class value (critical
packets) and highest data generation rate will have the
lowest score and they are defined to have the highest
priority.
18

19. PROPOSED PLA-MAC
Emergency Time Slots (ETS)
 The ETSs are for transmitting emergency data packets that
are generated after the CAP period.
 Number of ETSs in a superframe is calculated using
exponential weighted moving average in the following way:
 Here, NumETS = weighted combination of previous value
of NumETS
 NumEMR = number of emergency packets in the last
superframe
19

20. PERFORMANCE EVALUATION
20
Simulation Environment
Body area sensor network consisting of a single
coordinator and a number of sensor devices.
Coordinator uses a single-hop star topology.
Simulation tool: Network Simulator-3.
Compared protocols:
IEEE 802.15.4
PNP-MAC

21. PERFORMANCE EVALUATION
Network Model
21
Figure: Body sensor network topology

22. PERFORMANCE EVALUATION
22
Simulation Parameters
Table: Simulation parameters

23. PERFORMANCE EVALUATION
23
Performance Metrics
Average packet delivery delay
Average delivery delay for delay driven packets
Throughput
Coordinator energy consumption

24. 24
SIMULATION RESULT
Impact of number of nodes

25. 25
SIMULATION RESULT
Impact of number of nodes

26. 26
SIMULATION RESULT
Impact of number of nodes

27. 27
SIMULATION RESULT
Impact of number of nodes

28. 28
SIMULATION RESULT
Impact of traffic load

29. 29
SIMULATION RESULT
Impact of traffic load

30. 30
SIMULATION RESULT
Impact of traffic load

31. 31
SIMULATION RESULT
Impact of traffic load

32. REFERENCES
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36. Thank You
Any Question ?
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