Cluster-Based Self-Organization Scheme for Mobile Wireless Sensor Networks

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One of the main challenges in Mobile Wireless Sensor Networks (MWSNs) is to maximize the amount of data received at the base station during the network lifetime. In this paper, we propose a Cluster-based Self-Organization Scheme (CSOS) for electing cluster-head nodes to evenly balance energy consumption in the overall network. In CSOS, each sensor calculates its weight based on k-density, residual energy and mobility and then broadcasts it to its 2-hop neighborhood with a fixed transmission range. The sensor with the greatest weight in its 2-hop neighborhood will become the cluster-head during a fixed period and its neighboring nodes will then join it. In our experiments, firstly we performed simulations to illustrate the impact of sensor mobility on LEACH and LEACH-C’s performance using the same simulated model presented in literature. Unfortunately, the obtained results showed that sensor mobility had a significant impact on both protocols performance. Secondly, to prove substantial performance gains of CSOS scheme, we evaluated it with the same simulated model but with mobile sensors. Findings demonstrated that CSOS provided good results in terms of the amount of data received at the sink during the network lifetime when compared with LEACH and LEACH-C.
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Cluster-Based; k-Density; MWSNs; Residual Energy; Self-Organization

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