One of the critical parameters of Wireless Sensor Networks (WSNs) is node lifetime. There are various methods to increase WSN node lifetime, the clustering technique is being one of them. In clustering, selection of a desired percentage of Cluster Heads (CHs) is performed among the sensor nodes (SNs). Selected CHs are responsible for collecting data from their member nodes, aggregating the data and finally sending it to the sink. In this paper, we propose a Fuzzy-TOPSIS technique, based on multi criteria decision making, to choose CH efficiently and effectively to maximize the WSN lifetime. We will consider several criteria including: residual energy; node energy consumption rate; number of neighbor nodes; average distance between neighboring nodes; and distance from the sink. A threshold based intra-cluster and inter-cluster multi-hop communication mechanism is used to decrease energy consumption. We have also analyzed the impact of node density and different types of mobility strategies in order to investigate impact over WSN lifetime. In order to maximize the load distribution in the WSN, a predictable mobility with octagonal trajectory is proposed. This results in improvement of overall network lifetime and latency. Results shows that the proposed scheme improves the network lifetime by 60%, conserve energy by 80%, a significant reduction of frequent Cluster Head (CH) per round selection by 25% is achieved as compared to the conventional Fuzzy and LEACH protocols.

中文翻译：

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移动无线传感器网络中基于模糊TOPSIS的簇头选择

无线传感器网络 (WSN) 的关键参数之一是节点寿命。有多种方法可以增加 WSN 节点的生命周期，聚类技术就是其中之一。在聚类中，在传感器节点 (SN) 中执行所需百分比的簇头 (CH) 的选择。选定的 CH 负责从其成员节点收集数据，聚合数据并最终将其发送到接收器。在本文中，我们提出了一种基于多准则决策的 Fuzzy-TOPSIS 技术，以有效地选择 CH 以最大化 WSN 寿命。我们将考虑几个标准，包括：剩余能量；节点能耗率；邻居节点数；相邻节点之间的平均距离；以及与水槽的距离。基于阈值的集群内和集群间多跳通信机制用于降低能耗。我们还分析了节点密度和不同类型的移动策略的影响，以研究对 WSN 寿命的影响。为了最大化 WSN 中的负载分布，提出了具有八角形轨迹的可预测移动性。这导致整体网络寿命和延迟的改善。结果表明，与传统的 Fuzzy 和 LEACH 协议相比，所提出的方案将网络寿命提高了 60%，节能 80%，每轮选择的频繁簇头 (CH) 显着减少了 25%。我们还分析了节点密度和不同类型的移动策略的影响，以研究对 WSN 寿命的影响。为了最大化 WSN 中的负载分布，提出了具有八角形轨迹的可预测移动性。这导致整体网络寿命和延迟的改善。结果表明，与传统的 Fuzzy 和 LEACH 协议相比，所提出的方案将网络寿命提高了 60%，节能 80%，每轮选择的频繁簇头 (CH) 显着减少了 25%。我们还分析了节点密度和不同类型的移动策略的影响，以研究对 WSN 寿命的影响。为了最大化 WSN 中的负载分布，提出了具有八角形轨迹的可预测移动性。这导致整体网络寿命和延迟的改善。结果表明，与传统的 Fuzzy 和 LEACH 协议相比，所提出的方案将网络寿命提高了 60%，节能 80%，每轮选择的频繁簇头 (CH) 显着减少了 25%。