Constructing load‐balanced virtual backbones in probabilistic wireless sensor networks via multi‐objective genetic algorithm

A connected dominating set CDS is used as a virtual backbone VB for efficient routing and broadcasting in wireless sensor networks WSNs. Currently, almost all existing works focus on constructing minimum-sized CDS under the deterministic network model. However, because of the existence of many probabilistic lossy links in WSNs, it is more practical to obtain a VB under the realistic probabilistic network model PNM. Moreover, load-balance factor cannot be neglected when constructing a VB to prolong network lifetime. Hence, in this paper, we propose a multi-objective genetic algorithm to construct a load-balanced VB under PNM. Through simulations, we demonstrate that our proposed methods extend network lifetime by 69% on average compared with the existing state-of-the-art approaches. Copyright © 2014 John Wiley & Sons, Ltd.

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