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Improving on HEED protocol of wireless sensor networks using non probabilistic approach and fuzzy logic (HEED-NPF)

机译:使用非概率方法和模糊逻辑(HEED-NPF)改进无线传感器网络的HEED协议

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Clustering sensor nodes is an effective topology control for increasing network lifetime and scalability. It also, balances the load on the sensor nodes. HEED is a well known distributed clustering protocol that uses both energy and communication cost to elect Cluster Heads (CHs) in a probabilistic way. This paper improves HEED protocol using fuzzy logic and a non probabilistic approach for CH election. Fuzzy logic control is capable of making wisely decisions from blending different environmental parameters. The protocol uses nodes remaining energy and two fuzzy descriptors, node degree and node centrality, to elect CHs. On the other hand, the probabilistic model of HEED for electing tentative CHs is eliminated by introducing delay, inversely proportional to the nodes residual energy, for each node. Therefore, tentative CHs are selected according to their priority. Simulation results demonstrate that our approach performs better than HEED in terms of network lifetime and also cluster formation.
机译:群集传感器节点是有效的拓扑控制,可延长网络寿命和可扩展性。它还可以平衡传感器节点上的负载。 HEED是一种众所周知的分布式群集协议,它同时使用能源和通信成本来以概率方式选择群集头(CH)。本文改进了使用模糊逻辑和非概率方法选择CH的HEED协议。模糊逻辑控制能够通过混合不同的环境参数来做出明智的决策。该协议使用节点剩余能量和两个模糊描述符(节点度和节点中心度)来选择CH。另一方面,通过为每个节点引入与节点剩余能量成反比的延迟,可以消除选举临时CH的HEED概率模型。因此,根据其优先级选择临时CH。仿真结果表明,在网络寿命以及集群形成方面,我们的方法比HEED表现更好。

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