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Lifetime Enhancement of Wireless Sensor Networks by using Sine Cosine optimization Algorithm

机译：使用正弦余弦优化算法的无线传感器网络生命周期增强

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Wireless sensor networks (WSNs) have numerous applications from the measurements of atmospheric quantity, tracking to the various medical applications. Sensor nodes in the networks are mostly battery powered and they are having limited lifetime as it is not always feasible to replace their battery. To overcome this constraint of energy various energy management scheme have been proposed and implemented. In this paper we have used Sine Cosine Algorithm (SCA) in routing and clustering for enhancing the working lifetime of WSNs. As the cluster head (CH) in the networks having more energy expenditure so we have also used some higher energy nodes to perform CHs operations for the enhancement of the lifetime. We have compared the results with the other algorithms namely particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and least distance clustering (LDC) algorithm. Results are also have been studied after moving the base station at different locations.
机译：无线传感器网络（WSN）具有从大气量的测量，跟踪到各种医疗应用的众多应用。网络中的传感器节点主要由电池供电，并且使用寿命有限，因为更换电池并不总是可行的。为了克服能量的这种约束，已经提出并实施了各种能量管理方案。在本文中，我们在路由和聚类中使用了Sine Cosine算法（SCA），以延长WSN的工作寿命。由于网络中的簇头（CH）具有更多的能量消耗，因此我们还使用了一些能量更高的节点来执行CHs操作，以延长使用寿命。我们将结果与其他算法（粒子群优化（PSO）算法，遗传算法（GA）和最小距离聚类（LDC）算法）进行了比较。在将基站移动到不同位置后，也已经研究了结果。

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