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Artificial Bee Colony Algorithm based Multi-Objective Node Placement for Wireless Sensor Network

机译:基于人工蜂群算法的无线传感器网络多目标节点布置

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The recent popularity of applications based on wireless sensor networks (WSN) provides a strong motivation for pursuing research in different dimensions of WSN. Node placement is an essential task in wireless sensor network and is a multi-objective combinatorial problem in nature. The positions of sensor nodes are very important and must be able to provide maximum coverage with longer lifetimes. So, for efficient node placement, a novel multi-objective Artificial Bee Colony (ABC) algorithm based framework is proposed in this paper. The framework optimizes the operational modes of the sensor nodes along with clustering schemes and transmission signal strengths. The results show that the proposed algorithm outperformed the contemporary methodology based on TPSMA, PSO and ACO.
机译:最近基于无线传感器网络(WSN)的应用程序的流行为在WSN的不同维度上进行研究提供了强大的动力。节点放置是无线传感器网络中必不可少的任务,并且本质上是多目标组合问题。传感器节点的位置非常重要,必须能够以更长的使用寿命提供最大的覆盖范围。因此,为有效的节点放置,本文提出了一种新颖的基于多目标人工蜂群算法的框架。该框架优化了传感器节点的操作模式,以及聚类方案和传输信号强度。结果表明,该算法优于基于TPSMA,PSO和ACO的现代方法。

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