Proactive Data Dissemination Protocol on Distributed Dynamic Sink Mobility Management in Sensor Networks 


Vol. 31,  No. 9, pp. 792-802, Sep.  2006


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  Abstract

In this paper, we propose an energy-efficient proactive data dissemination protocol with relatively low delay to cope well with highly mobile sink environments in sensor networks. In order for a dissemination tree to continuously pursue a dynamic sink, we exploit two novel algorithms: forward sink advertisement and distributed fast recovery. In our protocol, the tree is shared with the other slave sinks so that we call it Dynamic Shared Tree (DST) protocol. DST can conserve considerable amount of energy despite maintaining robust connection from all sources to sinks, since tree maintenance of DST is accomplished by just distributed local exchanges. In addition, since the DST is a kindof sink-oriented tree, each source on the DST disseminates data with lower delay along the tree and it also facilitates in-network processing. Through simulations, it is shown that the presented DST is considerably energy-efficient, robust protocol with low delay compared to Directed Diffusion, TTDD, and SEAD, in highly mobile sink environment.

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  Cite this article

[IEEE Style]

K. Hwang, D. Eom, K. Hur, "Proactive Data Dissemination Protocol on Distributed Dynamic Sink Mobility Management in Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 9, pp. 792-802, 2006. DOI: .

[ACM Style]

Kwang-il Hwang, Doo-seop Eom, and Kyeong Hur. 2006. Proactive Data Dissemination Protocol on Distributed Dynamic Sink Mobility Management in Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 31, 9, (2006), 792-802. DOI: .

[KICS Style]

Kwang-il Hwang, Doo-seop Eom, Kyeong Hur, "Proactive Data Dissemination Protocol on Distributed Dynamic Sink Mobility Management in Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 9, pp. 792-802, 9. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880