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CRCWSN: Presenting a Routing Algorithm by using Re-clustering to Reduce Energy Consumption in WSN

机译:CRCWSN:通过使用重新聚类以减少WSN的能耗来提出路由算法

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In this paper, we have presented an algorithm, based on genetics and re-clustering,?to reduce energy consumption in Wireless Sensor Networks. Algorithm CRCWSN?could be best used by selected chromosomes in different states. In this algorithm,?a new technique of selecting cluster head(CH) has been initially used by genetic?algorithm. These CHs have been used individually in each round to transmit data. In?this research, considering distance and energy parameters, we have created a target?function having more optimum conditions, compared to previous techniques. The?created target function has been evaluated by input chromosome, and the combination?of chromosomes has been done by a new technique having more efficiency compared?to previous similar techniques. Consequently, the timing of generation repeat is based?on local distribution in chromosomes, and their using in sending data from source to?destination that decrease generations’ repeat, compared to previous methods. Results?by simulation show that, at the end of each round, the number of alive nodes in?the suggested algorithm increases, compared to previous methods, which increases?network’s lifetime.
机译:在本文中,我们提出了一种基于遗传和重新聚类的算法,以减少无线传感器网络中的能耗。 CRCWSN算法最适合不同状态的选定染色体。在该算法中,遗传算法最初使用了一种选择簇头(CH)的新技术。在每个回合中已单独使用这些CH来传输数据。在这项研究中,考虑到距离和能量参数,与以前的技术相比,我们创建了具有更优化条件的目标函数。已创建的目标功能已通过输入染色体进行了评估,并且染色体的组合已通过一种新技术完成,该技术与以前的类似技术相比具有更高的效率。因此,与以前的方法相比,世代重复的时间是基于染色体的局部分布,以及它们在从源到目的地的数据发送中的使用,从而减少了世代的重复。仿真结果表明,与以前的方法相比,在每轮结束时,建议算法中的活动节点数增加了,从而延长了网络的寿命。

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