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Coverage constrained non-uniform node deployment in wireless sensor networks for load balancing

机译:覆盖范围限制了无线传感器网络中非均匀节点的部署,以实现负载平衡

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Multi-hop wireless sensor networks with uniform node deployment, in general, suffers from uneven load distribution that finally creates an energy hole around the sink causing early failure of the network. However, it has been shown earlier that nearly balanced energy consumption can be achieved by utilizing non-uniform deterministic node distribution with increasing node density towards the sink. In this paper, a novel model is proposed for non-uniform deterministic node distribution that reduces the total number of nodes to be deployed over the area and the network traffic satisfying both coverage and load balancing criteria. Also, with random node distribution, a simple distributed algorithm is developed for nearly load-balanced data gathering. Performance comparison with earlier works by simulation shows that the proposed model performs better in terms of network lifetime, network traffic and packet drops.
机译:通常,具有统一节点部署的多跳无线传感器网络会受到负载分布不均的困扰,最终会在接收器周围形成能量孔,从而导致网络过早出现故障。但是,较早的研究表明,通过利用不均匀的确定性节点分布,随着朝向汇点的节点密度的增加,可以实现几乎平衡的能耗。在本文中,提出了一种新颖的非确定性节点分配模型,该模型减少了要在该区域内部署的节点总数以及满足覆盖率和负载均衡标准的网络流量。同样,利用随机节点分布,开发了一种简单的分布式算法,用于近乎负载平衡的数据收集。通过仿真与早期工作进行性能比较,结果表明该模型在网络寿命,网络流量和丢包方面表现更好。

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