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Evaluating the performance of density grid-based clustering using ABC technique for efficient routing in WSNs

机译:使用ABC技术评估基于浓度网格的聚类性能在WSNS中有效路由

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Wireless sensor networks WSNs are exceptional network comprise of network devices in large numbers and spatial circulation. They have different sensing capacity and participate to finish common task. It is seen in writing overview that density grid based clustering in WSN which has enhanced the execution of the WSNs by utilizing the gathering based information aggregation. In any case, no enhancement procedure is considered for the successful route selection in density grid-based clustering. This paper proposes a two new approaches i.e. artificial bee colony is an swarm based optimization technique for energy efficient routing algorithm and the compressive sensing is also used to increase the energy rate or performance. The proposed methodology has shown quite significant improvement over available ones.
机译:无线传感器网络WSN是卓越的网络包括大量和空间循环的网络设备。它们具有不同的传感能力,并参与完成常见任务。在写入概述中,通过利用基于收集的信息聚合来提高WSN的基于浓度网格基于​​WSN的群集。在任何情况下,没有考虑增强过程,以便在基于浓度网格的聚类中成功的路由选择。本文提出了两种新方法,即人造蜂菌落是一种基于群的节能路由算法优化技术,并且还用于增加能量率或性能的压缩感测。拟议的方法表明了可用的方法完全改善。

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