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Directed Diffusion Based on Link-Stabilizing Clustering for Wireless Sensor Networks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4611))

Abstract

Reducing power consumption to extend network lifetime with limited energy resource is one of the most important challenges in wireless sensor networks. In addition, the issue of real-time communication is also very important in some practical applications. A directed diffusion algorithm based on link-stabilizing clustering (DDLSC), which is a delay-energy aware routing protocol for wireless sensor networks is proposed in this paper. DDLSC enable a wide range of tradeoffs between delay and energy consumption. The two major components of DDLSC are: a novel stable clustering scheme that forms a wireless sensor network into two layers and the cluster heads construct a virtual backbone for multi-hop communications, and a directed diffusion routing protocol based on the clustering scheme. It is simple, fast to converge, fully distributed and dynamic, and be scalable to the change in network size, density and topology. The performance of DDLSC remains very good even in large-scale sensor networks, and it scales with density. Through analysis and simulation evaluations, we show that DDLSC improves the packet delay and system energy consumption compared to other current data-centric routing protocols.

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References

  1. Akyildiz, I., Su, W., Sankarasubramaniam, Y., Cayirici, E.: A Survey on Sensor Networks. IEEE Transactions on Communications Magazine 40(8), 102–114 (2002)

    Article  Google Scholar 

  2. Marín, I., Arceredillo, E., Zuloaga, A., Arias, J.: Wireless Sensor Networks: A Survey on Ultra-Low Power-Aware Design. Transactions on Engineering, Computing and Technology 8, 44–49 (2005)

    Google Scholar 

  3. Kulik, J., Heinzelman, W.R., Balakrishnan, H.: Negotiation-Based Protocols for Disseminating Information in Wireless Sensor Networks. ACM Transactions on Wireless Networks 8(2/3), 169–185 (2002)

    Article  MATH  Google Scholar 

  4. Intanagoniwiwat, C., Govindan, R., Estrin, D.: Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks. In: Proceedings of ACM MobiCom 2000, pp. 56–67 (2000)

    Google Scholar 

  5. Heinzelman, W., Chandrakasan, A.: An Application-Specific Protocol Architecture for Wireless Microsensor Networks. IEEE Transactions on Wireless Communication 1(4), 660–670 (2002)

    Article  Google Scholar 

  6. Manjeshwar, A., Agrawal, D.: TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks. In: Proceedings of the 15th Int’l Parallel and Distributed Processing Symp (IPDPS), pp. 2009–2015 (2001)

    Google Scholar 

  7. Younis, M., Youssef, M., Arisha, K.: Energy-Aware Routing in Cluster-Based Sensor Networks. In: Proceedings of the 10th Int’l Symp. on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCCTS) (2002)

    Google Scholar 

  8. Cano, J.-C., Manzoni, P.: A Performance Comparison of Energy Consumption for Mobile Ad Hoc Network Routing Protocols. In: Proceedings of the 8th Int’l Symp. on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCCTS) (2000)

    Google Scholar 

  9. Bandyopadhyay, S., Coyle, E.J.: An Energy-Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks. In: Proceedings of IEEE INFOCOM (2003)

    Google Scholar 

  10. Gao, C., Jantti. R.: Link-State Clustering Based on IEEE 802.15.4 MAC for Wireless Ad-hoc/Sensor Networks. In: Proceedings of IEEE WCNC (2006)

    Google Scholar 

  11. Younis, O., Fahmy, S.R.: Heed: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks. IEEE Transactions on Mobile Computing 3(4), 660–669 (2004)

    Article  Google Scholar 

  12. Wei-Dong, W., Qing-Xin, Z.: A Hierarchical Clustering Algorithm and Cooperation Analysis for Wireless Sensor Networks. Journal of Software 17(5), 1157–1167 (2006)

    Article  Google Scholar 

  13. IEEE Wireless Medium Access Control (mac) and Physical Layer (phy) Specifications for Low-Rate Wireless Personal Area Networks. IEEE 802.15.4 WorkGroup (2003)

    Google Scholar 

  14. Fouad, M.R., Fahmy, S., Pandurangan, G.: Latency-Sensitive Power Control for Wireless Ad-Hoc Networks. In: Proceedings of MSWiM (2005)

    Google Scholar 

  15. ElBatt, T.A., Krishnamurthy, S.V., Connors, D., Dao, S.: Power Management for Throughput Enhancement in Wireless Ad-Hoc Networks. In: Proceedings of IEEE ICC (2000)

    Google Scholar 

  16. Akkaya, K., Younis, M.: A Survey of Routing Protocols in Wireless Sensor Networks. Transactions on Ad Hoc Networks 3, 325–349 (2002)

    Google Scholar 

  17. Liu, X., Li, F., Kuang, H., Wu, X.: The Study of Directed Diffusion Routing Protocol Based on Clustering for Wireless Sensor Network. In: Proceedings of IEEE WCICA (2006)

    Google Scholar 

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Jadwiga Indulska Jianhua Ma Laurence T. Yang Theo Ungerer Jiannong Cao

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© 2007 Springer-Verlag Berlin Heidelberg

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Zhou, Z., Xu, W., Li, F., Wu, X. (2007). Directed Diffusion Based on Link-Stabilizing Clustering for Wireless Sensor Networks. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds) Ubiquitous Intelligence and Computing. UIC 2007. Lecture Notes in Computer Science, vol 4611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73549-6_48

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  • DOI: https://doi.org/10.1007/978-3-540-73549-6_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73548-9

  • Online ISBN: 978-3-540-73549-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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