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An Energy Aware Distributed Clustering Algorithm Using Fuzzy Logic for Wireless Sensor Networks with Non-uniform Node Distribution

机译：节点分布不均匀的无线传感器网络中一种基于模糊逻辑的能量感知分布式聚类算法

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摘要

Clustering routing protocols are more adequate for Wireless Sensor Networks (WSNs) due to the higher energy utilization rate and scalability. However, non-uniform node deployment makes the cluster-based routing protocols less efficient, since the energy consumption of the nodes is more imbalanced. In this paper, an Energy Aware Distributed Clustering using Fuzzy Logic (EADC-FL) routing algorithm is proposed for the network with non-uniform node distribution. EADC-FL selects the most appropriate nodes as the cluster heads to save more energy in data transmission phase. It considers the energy of the sensor nodes as the primary parameter to elect the candidate cluster heads. Afterwards, it takes into consideration the node degree and node centrality of the sensor nodes by using Fuzzy Logic to identify the final cluster heads. EADC-FL constructs the clusters in equal sizes to make the energy consumption of cluster members balanced and uses a cluster-based routing algorithm to balance the energy consumption among the cluster heads. Moreover, the proposed algorithm performs clustering on demand instead of each round in order to reduce the energy dissipation of the network due to the overhead of consecutive clustering phases. The results demonstrate that EADC-FL significantly decreases the energy consumption and extends the network lifetime of network with non-uniform node distribution .
机译：由于更高的能源利用率和可伸缩性，群集路由协议更适合无线传感器网络（WSN）。但是，由于节点的能量消耗更加不平衡，因此非均匀的节点部署会使基于群集的路由协议的效率降低。本文针对节点分布不均匀的网络，提出了一种基于模糊逻辑（EADC-FL）路由算法的能量感知分布式聚类算法。 EADC-FL选择最合适的节点作为簇头，以在数据传输阶段节省更多能量。它以传感器节点的能量为主要参数来选择候选簇头。然后，通过使用模糊逻辑来识别最终的簇头，它考虑了传感器节点的节点度和节点中心性。 EADC-FL以相等的大小构造群集，以使群集成员的能耗达到平衡，并使用基于群集的路由算法来平衡群集头之间的能耗。此外，为了减少由于连续聚类阶段的开销而导致的网络能量消耗，所提出的算法按需执行聚类而不是每轮。结果表明，EADC-FL大大降低了能耗，并延长了节点分布不均的网络的网络寿命。

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