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Clustering and optimal routing in wireless sensor networks using harmony search algorithm

机译:使用和声搜索算法的无线传感器网络中的聚类和最优路由

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One of the main challenges in sensor networks is the energy used by these sensors and the most important reason for the energy consumption by sensors is transferring data, which has a direct relationship with distance. Researchers have proposed different algorithms so as to reduce the sonsors' energy consumption. One of these ways is optimal route-finding and reduction of the length of typical knots to central knots. One way to reduce the energy consumption is to cluster and organize the sensors. To do so, in the beginning, some sensors are randomly considered as the head and then these heads will recruit members considering their distance to other sensors. The number of members in clusters will be almost similar in order to restore balance in the number if the members. Harmonic algorithm will help us have a thorough search on the space of the issue so that we can overcome the fundamental challenges in clustering the networks of wireless sensors through the performance of harmonic algorithm and change in the role of the head of a cluster.
机译:传感器网络的主要挑战之一是这些传感器使用的能量,而传感器消耗能量的最重要原因是传输数据,该数据与距离有直接关系。研究人员提出了不同的算法,以减少传感器的能耗。这些方法之一是最优的路线寻找和典型结节到中心结的长度减小。减少能耗的一种方法是对传感器进行群集和组织。为此,一开始,一些传感器被随机视为头部,然后这些头部会考虑与其他传感器的距离来招募成员。群集中的成员数将几乎相似,以便恢复成员数之间的平衡。谐波算法将帮助我们深入研究问题的空间,以便我们能够通过谐波算法的性能以及改变簇头的作用来克服将无线传感器网络聚类的根本挑战。

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