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E2LBC: An Energy Efficient Load Balanced Clustering Technique for Heterogeneous Wireless Sensor Networks

机译:E 2 LBC:异构无线传感器网络的节能高效负载均衡集群技术

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Energy efficiency is of paramount interest to most of the wireless sensor network applications. In a clustered sensor network, some of the nodes become cluster heads, aggregate the data of their cluster members and transmit it to the sink. In this study, we assume a heterogeneous network setup, where a fixed percentage of the population of sensor nodes is equipped with additional energy resources thus acting as cluster heads (two level hierarchy). The behavior of such sensor networks becomes very unstable once the first head dies. Classical clustering techniques for wireless sensor networks pay much importance to reducing the per-node energy consumption, which may not always guarantee a globally efficient solution. We propose E2LBC, which considers energy efficiency as a system-wide issue that focuses on improving the overall stability of operation of a wireless sensor network. We prolong the stability period of the network by balancing the load at each cluster head. We prove the effectiveness of the proposed algorithm by comparing it against a hypothetical unbalanced clustering protocol.
机译:对于大多数无线传感器网络应用而言,能源效率至关重要。在群集传感器网络中,某些节点成为群集头,聚集其群集成员的数据并将其传输到接收器。在这项研究中,我们假设使用异构网络设置,其中固定比例的传感器节点数量配备了额外的能源,因此可以充当簇头(两级层次结构)。一旦第一个头部死亡,这种传感器网络的行为就变得非常不稳定。无线传感器网络的经典群集技术在降低每个节点的能耗方面非常重要,这可能无法始终保证全局有效的解决方案。我们提出了E 2 LBC,它认为能效是一个系统范围的问题,着重于提高无线传感器网络的整体运行稳定性。我们通过平衡每个群集头的负载来延长网络的稳定期。通过将其与假设的不平衡聚类协议进行比较,我们证明了该算法的有效性。

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