A Hierarchical Data Dissemination Protocol using Probability-based Clustering for Wireless Sensor Networks

Springer-Verlag, vol. 5618, pp. 149-158, Jul. 2009

Moonseong Kim, Matt W. Mutka, and Hyunseung Choo


A major challenge for designing a dissemination protocol for Wireless Sensor Networks (WSNs) is energy efficiency. Recently, researchers have studied this issue, and SPMS, a representative protocol, outperforms the well-known protocol SPIN. One of the characteristics of SPMS uses the shortest path to minimize energy consumption. However, since it repeatedly uses the same shortest path, maximizing network lifetime is impossible, although it reduces the energy consumption. In this paper, we propose a Hierarchical data dissemination protocol using Probability-based clustering, called HiProc. It guarantees energy-efficient data transmission and maximizes network lifetime. HiProc solves the network lifetime problem by a novel probability function, which is related to the residual energy and the distance to a neighbor. The simulation results show that HiProc guarantees energy-efficient transmission and moreover increases the network lifetime by approximately 78% than that of SPMS.





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