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M-ATTEMPT
A New Energy-Efficient Routing Protocol
for Wireless Body Area Sensor Networks
By Leila Maleki

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Contents

1. Introduction

2. System Model
3. Mobility Support in ATTEMPT
4. Simulation Results
5. Conclusion
6. References

2/13
Introduction
 WBASNs: Wireless Body Area Sensor Networks
 The wireless sensor nodes used in WBASNs are tiny,
light-weight and of limited power.
 Patient Monitoring

3/13
System Model

Initialization Phase
 all nodes broadcast Hello messages. This Hello message
contains neighbors information and distance of sink nodes in
form of hop-counts

4/13
System Model

Routing Phase

5/13
System Model..

Routing Phase..

6/13
System Model..
 Scheduling Phase
 After route selection the sink node creates Time Division Multiple
Access (TDMA) schedule for communication between sink node
and root nodes. Sink node allocate time-slots to nodes. Nodes can
communicate to sink node in assigned time slot for normal data
delivery.

 Data Transmission Phase
 Once the time slots are allocated to root nodes, root nodes send
their data to sink node in assigned time slot. After that sink node will
receive data, and will take some time to aggregate the received
data.

7/13
Mobility Support in ATTEMPT

8/13
Simulation Results
 Simulation Results

9/13
Simulation Results
 Simulation Results..

10/13
Conclusion
In this work, we presented an energy efficient routing algorithm for
heterogeneousWBASNs. For realtime and on-demand data traffic root
node directly communicates with sink node and for normal data
delivery Multi-hop communication is used. Our proposed routing
protocol supports mobility of human body with energy management.
The proposed routing algorithm is thermal-aware which senses the link
Hot-spot and routes the data away from these links. After selection of
routes sink node creates TDMA schedule for communication between
sink node and root nodes for normal data delivery using multihop
communication.
MATLAB simulations of proposed routing algorithm are performed for
lifetime and packet delivery ratio in comparison with Multi-hop
communication. Topology and placement of nodes is described with
Single-hop and Multi-hop communication scenarios. The results show
that proposed routing algorithm has less energy consumption and
more reliable in sense of packet delivery as compared to Multi-hop
communication.

11/13
References
 [1] M. Quwaider, S. Biswas, DTN routing in body sensor networks with
dynamic postural partitioning, Ad Hoc Networks 8 (8) (2010) 824841.
doi:10.1016/j.adhoc.2010.03.002.
 [2] S.-H. Seo, S. Gopalan, S.-M. Chun, K.-J. Seok, J.-W. Nah, J.-T.
Park, An energy-efficient configuration management for multihop
wireless body area networks, in: Broadband Network and Multimedia
Technology (IC-BNMT), 2010 3rd IEEE International Conference on,
2010, pp. 1235 1239. doi:10.1109/ICBNMT.2010.5705287.
 [3] Q. Tang, N. Tummala, Thermal-aware routing algorithm for
implanted sensor networks, in: Proceedings of the International
Conference on Distributed Computing in Sensor Systems, 2005, pp.
206217.
 [4] M. Quwaider, S. Biswas, On-body packet routing algorithms for
body sensor networks, in: Networks and Communications, 2009.
NETCOM 09. First International Conference on, 2009, pp. 171 177.
doi:10.1109/NetCoM.2009.54.

12/13
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A New Energy-Efficient Routing Protocol for Wireless Body Area Sensor Networks

  • 1. M-ATTEMPT A New Energy-Efficient Routing Protocol for Wireless Body Area Sensor Networks By Leila Maleki LOGO
  • 2. Contents 1. Introduction 2. System Model 3. Mobility Support in ATTEMPT 4. Simulation Results 5. Conclusion 6. References 2/13
  • 3. Introduction  WBASNs: Wireless Body Area Sensor Networks  The wireless sensor nodes used in WBASNs are tiny, light-weight and of limited power.  Patient Monitoring 3/13
  • 4. System Model Initialization Phase  all nodes broadcast Hello messages. This Hello message contains neighbors information and distance of sink nodes in form of hop-counts 4/13
  • 7. System Model..  Scheduling Phase  After route selection the sink node creates Time Division Multiple Access (TDMA) schedule for communication between sink node and root nodes. Sink node allocate time-slots to nodes. Nodes can communicate to sink node in assigned time slot for normal data delivery.  Data Transmission Phase  Once the time slots are allocated to root nodes, root nodes send their data to sink node in assigned time slot. After that sink node will receive data, and will take some time to aggregate the received data. 7/13
  • 8. Mobility Support in ATTEMPT 8/13
  • 11. Conclusion In this work, we presented an energy efficient routing algorithm for heterogeneousWBASNs. For realtime and on-demand data traffic root node directly communicates with sink node and for normal data delivery Multi-hop communication is used. Our proposed routing protocol supports mobility of human body with energy management. The proposed routing algorithm is thermal-aware which senses the link Hot-spot and routes the data away from these links. After selection of routes sink node creates TDMA schedule for communication between sink node and root nodes for normal data delivery using multihop communication. MATLAB simulations of proposed routing algorithm are performed for lifetime and packet delivery ratio in comparison with Multi-hop communication. Topology and placement of nodes is described with Single-hop and Multi-hop communication scenarios. The results show that proposed routing algorithm has less energy consumption and more reliable in sense of packet delivery as compared to Multi-hop communication. 11/13
  • 12. References  [1] M. Quwaider, S. Biswas, DTN routing in body sensor networks with dynamic postural partitioning, Ad Hoc Networks 8 (8) (2010) 824841. doi:10.1016/j.adhoc.2010.03.002.  [2] S.-H. Seo, S. Gopalan, S.-M. Chun, K.-J. Seok, J.-W. Nah, J.-T. Park, An energy-efficient configuration management for multihop wireless body area networks, in: Broadband Network and Multimedia Technology (IC-BNMT), 2010 3rd IEEE International Conference on, 2010, pp. 1235 1239. doi:10.1109/ICBNMT.2010.5705287.  [3] Q. Tang, N. Tummala, Thermal-aware routing algorithm for implanted sensor networks, in: Proceedings of the International Conference on Distributed Computing in Sensor Systems, 2005, pp. 206217.  [4] M. Quwaider, S. Biswas, On-body packet routing algorithms for body sensor networks, in: Networks and Communications, 2009. NETCOM 09. First International Conference on, 2009, pp. 171 177. doi:10.1109/NetCoM.2009.54. 12/13