Game theory-based resource allocation strategy for clustering based wireless sensor network

Authors:
Dongyul Lee;Hyunchul Shin;Chaewoo Lee
Affiliations:
Ajou University, Suwon, Korea;Ajou University, Suwon, Korea;Ajou University, Suwon, Korea
Venue:
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Year:
2012

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Abstract

We discuss the use of Nash bargaining solution (NBS) for analyzing clustering based sensor network. We model the energy consumption in the cluster members along with that for data transmission. We do not consider the energy of cluster heads and sink node because the energy consumption of cluster heads can be solved by a similar scheme with that of cluster members. Since in our model the energy transmission is achieved by single-hop, the first cluster member's failure does not affect other cluster members. Therefore, the existing solution proposed in the wireless sensor networks connected by multi-hop can not be proper because of the single hop transmission of cluster members with its cluster head. In this paper, we analyze the resource allocation between clusters with NBS for a fair and efficient solution. We demonstrate that the problem of the model we deal with is convex and our solution can find an optimal point.