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A Novel Load Balanced Energy Conservation Approach in WSN Using Biogeography Based Optimization

机译:基于生物地科优化的WSN中的一种新型负载平衡节能方法

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Clustering sensor nodes is an effective technique to reduce energy consumption of the sensor nodes and maximize the lifetime of Wireless sensor networks. Balancing load of the cluster head is an important factor in long run operation of WSNs. In this paper we propose a novel load balancing approach using biogeography based optimization (LB-BBO). LB-BBO uses two separate fitness functions to perform load balancing of equal and unequal load respectively. The proposed method is simulated using matlab and compared with existing methods. The proposed method shows better performance than all the previous works implemented for energy conservation in WSN
机译:聚类传感器节点是减少传感器节点的能量消耗并最大化无线传感器网络的寿命的有效技术。群集头部的平衡负载是WSN长期运行的重要因素。在本文中,我们提出了一种使用基于生物地理的优化(LB-BBO)的新型负载平衡方法。 LB-BBO使用两个单独的健身功能来分别执行相等和不等载荷的负载平衡。使用MATLAB模拟所提出的方法,并与现有方法进行比较。该方法表现出比在WSN中的节能所实施的所有工作所实施的所有工程更好的性能

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