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PSO-based approach for energy-efficient and energy-balanced routing and clustering in wireless sensor networks

机译：基于PSO的节能和能量平衡路由和无线传感器网络聚类方法

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Many schemes have been proposed for energy-efficient routing in wireless sensor networks (WSNs). However, most of these algorithms focus only on energy efficiency in which each node finds a shortest path to the base station (BS), but remain silent about energy balancing which is equally important to prolong the network lifetime. In this paper, we propose particle swarm optimization-based routing and clustering algorithms for WSNs. The routing algorithm builds a trade-off between energy efficiency and energy balancing, whereas the clustering algorithm takes care of the energy consumption of gateways as well as sensor nodes. We develop an efficient particle-encoding scheme and derive a multi-objective fitness function for each of the proposed routing and clustering algorithms. The algorithms are also capable of tolerating the failure of cluster heads. We perform extensive simulations on the proposed schemes and the results are compared with the existing algorithms to demonstrate their superiority in terms of various performance metrics.
机译：已经提出了许多方案用于无线传感器网络（WSN）中的节能路由。然而，这些算法中的大多数仅关注每个节点在基站（BS）的最短路径的能效，而是对能量平衡保持沉默，这同样重要的是延长网络寿命。在本文中，我们提出了基于粒子群优化的路由和用于WSN的聚类算法。路由算法在能效和能量平衡之间构建权衡，而聚类算法负责支付网关的能量消耗以及传感器节点。我们开发了一种有效的粒子编码方案，并为每个提出的路由和聚类算法导出多目标健身功能。该算法还能够容忍集群头的故障。我们对所提出的方案进行广泛的模拟，结果与现有算法进行比较，以展示其各种性能指标的优越性。

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