Distributed energy-efficient geographic multicast for Wireless Sensor Networks

Authors:
Wentao Zhang;Xiaohua Jia;Chuanhe Huang
Affiliations:
Computer School of Wuhan University, Wuhan, Hubei, PRC 430072, China.;Computer School of Wuhan University, Wuhan, Hubei, PRC 430072, China.;Computer School of Wuhan University, Wuhan, Hubei, PRC 430072, China
Venue:
International Journal of Wireless and Mobile Computing
Year:
2006

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Abstract

As most applications in Wireless Sensor Networks (WSN) are location sensitive, in this paper, we explore the problem of location-aided multicast for WSN. We present four strategies to construct the GeoMulticast routing tree, namely, SARF, SAM, CoFAM and MSAM. Especially, we discuss CoFAM in detail and give the algorithm for setting up a multicast tree in a cone-based forwarding area. This algorithm is distributed and energy-efficient. Extensive simulations have been conducted to evaluate the performance of the proposed routing schemas. Simulation results have shown that when constructing a multicast tree, fewer messages must be transmitted in our schemas.