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Cross-Layer Interactions between Congestion and Contention in Wireless Sensor and Actor Networks

This presentation discusses the interdependence between local contention and network-wide congestion in wireless sensor and actor networks. The study analyzes the effects of various factors such as the number of actors, number of sources, buffer size, MAC layer, and energy efficiency on network performance. The conclusion highlights the necessity of adaptive cross-layer congestion control and traffic-aware contention window size adjustment for improved reliability and energy efficiency.

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Cross-Layer Interactions between Congestion and Contention in Wireless Sensor and Actor Networks

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  1. V.C Gungoret al AD Hoc Networks, 2007 Presented by yongyoung, Byun. KAIST On the cross-layer interactions between congestion and contention in wireless sensor and actor networks

  2. Outline • Introduction • Experiment environment • Analysis • Conclusion

  3. Introduction

  4. WSN VS WSAN Sink Sensor Sink

  5. WSN VS WSAN(semi-automated) A A Sensor Sink Actor

  6. WSN VS WSAN(automated) A A Sensor Actor

  7. Problem in WSAN • Memory restrictions of sensor nodes • Limited capacity of shared wireless medium • Waste of resource • Event detection reliability Congestion

  8. Problems in WSAN • Memory restrictions of sensor nodes • Limited capacity of shared wireless medium • Waste of resource • Event detection reliability Congestion Life time QoS

  9. Previous work • Channel contention, number of sources, packet collisions, … • Hybrid approach Local interaction Overall performance MAC layer Transport layer Contention Congestion

  10. Experiment environment

  11. Environment • Ns-2 • 100 X 100 m2 sensor field • Hundred sensors randomly • 16 actors evenly on a circle • 5 different topologies • Average of these simulations

  12. Performance metrics • Event reliability • Energy efficiency • End-to-end latency • MAC Layer Errors • Buffer overflows

  13. Analysis

  14. (1)Effect of number of actors Non-congested transition congested

  15. MAC layer errors

  16. Buffer overflow

  17. End-to-end latency

  18. Effect of number of actors Increase # of actors Disperse traffic Local interactions of routes Minimize congestion Increase contention Optimal # of actors

  19. (2)Effect of number of sources

  20. MAC layer errors

  21. Buffer overflow

  22. End-to-end latency

  23. Effect of number of sources Increase # of sources Local contention Spatial increase in info Early congestion Accuracy of event estimation Optimal # of sources

  24. (3)Effect of buffer size

  25. MAC layer errors

  26. (4)Effect of MAC layer

  27. (5)Energy efficiency

  28. (5)Energy efficiency

  29. (5)Energy efficiency

  30. Conclusion(1) • Interdependence between local contention and network-wide congestion • Small buffer size is more efficient • Local reliability is not sufficient for overall reliability • Traffic-aware contention window size adjustment is required • Adaptive cross-layer congestion control is necessary • Energy efficient adjustments are possible • Higher resolution VS higher congestion

  31. Thank youAny question?

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