1. 1 Aggregated Traffic Flow Weight Controlled Hierarchical MAC Protocol for Wireless Sensor Networks Asia FI School Presented By Md. Abdur Razzaque Kyung Hee University Global Campus, South Korea

2. 2 Contents Introduction Proposed Traffic Model Proposed ATW-HMAC Protocol Analytical Analysis Conclusion

3. 3 Introduction S-MAC, TRAMA, T-MAC, FLAMA saves significant amount of energy by periodically switching off the nodes to low power mode. They save energy at the cost of throughput and end-to- end packet delay. Incurs a great amount of energy overhead due to: clock synchronization, schedule message passing, waking up the radio periodically. Works fine in very low data rate networks. How to design an energy-efficient MAC protocol that greatly minimizes the network congestion while maximizing the achievable data delivery rate? Supports multiple application types. Supports both multi-path and single-path network.

4. 4 Traffic Model

5. 5 Determination of CW min Values Single-path routingMulti-path routing Both the events are of type AEvent 1 is B type and event 2 is A type Both the events are of type AEvent 1 is B type and event 2 is A type Node ID 111 124 22 62 11 124 22 62 211 124 22 62 11 124 22 62 313 42 26 21 12.5 50 25 25 411 124 22 62 11.5 83 23 42 511 124 11 11 11 611 11 11.5 83 11.5 83 712 62 12 11.5 83 11.5 83 814 31 14 14 14 904 08 16 04 31 08 16 1008 16 012 11 08 16 012 11

6. 6 Analytical Analysis Weighted Fair Rate Allocation: Energy Consumption Analysis:

7. 7 Conclusion Next problem to address: How to further increase the overall throughput whenever data packets from a single source node are routed over multiple paths by employing a dynamic traffic engineering algorithm.

8. 8 References 1. A. Mahapatra, K. Anand, D. P. Agrawal, QoS and energy aware routing for real-time traffic in wireless sensor networks, Computer Communications, vol. 29, no. 4, pp. 437-445, 2006. 2. Felemban, E.; Lee, C.-G.; Ekici, E.; Boder, R.; Vural, S., MMSPEED: Multipath Multi-Speed Protocol for QoS of Reliability and Timeliness in Wireless Sensor Networks, IEEE Transactions on Mobile Computing, vol. 5, no. 6, 2006. 3. X. Huang, Y. Fang, Multi-constrained QoS multipath routing in wireless sensor networks, ACM Wireless Networks, 2007. 4. S. Lee, B. Bhattacharjee, S. Banerjee, Efficient Geographic Routing in Multihop Wireless Networks, the Sixth ACM International Symposium on Mobile Ad Hoc Networking and Computing (Mobihoc), 2005, Urbana-Champaign, Illinois, USA. 5. K. Zeng, K. Ren, W. Lou, P. J. Moran, Energy-aware Geographic Routing in Lossy Wireless Sensor Networks with Environmental Energy Supply, Proc. of the 3rd Intl. Conf. on QoS in heterogeneous wired/wireless networks QShine 2006, 6. Y. B. Kou and N. Vaidya, Location-aided routing(LAR) in mobile ad hoc networks, Proc. of the Fifth Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom98), Dallas (1998) 7. S. Basagni, I. Chlamtac, and V. Syrotiuk, A distance routing effect algorithm for mobility (DREAM), Proc. of the Fifth Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom98), Dallas (1998) 8. T. He, C. Huang, B. Blum, J. Stankovic, and T. Abdelzaher, Range-Free Localization Schemes for Large Scale Sensor Networks, Proc. of MobiCom, 2003.

9. 9 THANK YOU Q & A