Abstract-Detecting redundant nodes and scheduling their activity is mandatory to prolong the lifetime of a densely-deployed wireless sensor network. Provided that the redundancy check and the scheduling phases both help to preserve the coverage ratio and guarantee energy efficiency. However, most of the solutions usually proposed in the literature, tend to allocate a large number of unnecessary neighbor (re)discovery time slots in the dutycycle of the active nodes. Such a shortcoming is detrimental to battery power conservation. In this paper, we propose a crossing points-based heuristic to fast detect redundant nodes even in heterogeneous networks; then, an integer linear program and a local exclusion based strategy to respectively, formulate and solve the sensing unit scheduling problem. Simulations show that the resulting localized asynchronous protocol outperforms some state-of-the-art solutions with respect to coverage preservation and network lifetime enhancement.
Despite progress made in recent years, cluster formation delay, load balancing, energy holes remain challenging for cluster-based topology control protocols. When, for energy efficiency purpose, one tries to address these problems simultaneously, one is confronted with latency, message overhead, and topological defects such as isolated Cluster Heads (CH), pairs of adjacent CHs etc. These unexpected outcomes are detrimental to both network capacity and lifetime. In this paper, we propose a fast cluster-based selforganization protocol that reduces time and energy wastes during cluster formation, minimizes the scope and frequency of cluster maintenance process, and mitigates energy holes in the sink's two-hop neighborhood. Simulation results show that our contribution is able to quickly construct a good quality communication topology while enhancing network lifetime.
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