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An adaptive energy balanced and energy efficient approach for data gathering in wireless sensor networks

机译:用于无线传感器网络中数据收集的自适应能量平衡和节能方法

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Energy efficiency and energy balancing are the most stringent needs of wireless sensor network for prolonging its lifetime. As direct transmissions are costly, multi-hop approach is often used to collect the data of the nodes at the sink. However, many-to-one communication pattern in multi-hop communication may result in an unbalanced energy consumption in the network. Nodes closer to the sink deplete their energy at a faster rate than nodes that are further away. Mixed transmission approach, where each node trades-off between the cheaper hop-by-hop transmission and costlier direct transmission, is a good solution for balancing energy consumption. This paper proposes a receiver contention based mixed transmission scheme for energy balancing. In addition to distance and residual energy of the receivers, it also considers the link reliability and the number of neighboring nodes, in setting of the timer that will determine the relay node selection. The proposed approach gives more efficient and effective energy balanced data transmission as compared with the other works proposed in the literature. Its performance is evaluated and presented both analytically and through simulations, and the analytical estimations are validated by the simulation results. The simulation results show a significant improvement over the other closely related approaches. Moreover, the proposed approach can be easily used with both uniform as well as non-uniform node deployment. (C) 2016 Elsevier B.V. All rights reserved.
机译:能源效率和能量平衡是延长无线传感器网络寿命的最严格的要求。由于直接传输的成本很高,因此通常使用多跳方法来收集接收器上节点的数据。但是,多跳通信中的多对一通信模式可能会导致网络中的能量消耗不平衡。与较近的节点相比,更靠近接收器的节点以更快的速度消耗能量。每个节点在较便宜的逐跳传输和较昂贵的直接传输之间进行权衡的混合传输方法是一种平衡能耗的好方法。本文提出了一种基于接收器竞争的混合传输方案,以实现能量平衡。除了接收器的距离和剩余能量之外,在确定中继节点选择的计时器设置中,它还考虑了链路可靠性和相邻节点的数量。与文献中提出的其他工作相比,所提出的方法提供了更有效的能量平衡数据传输。通过分析和通过仿真评估并提供其性能,并通过仿真结果验证分析估计。仿真结果表明,与其他紧密相关的方法相比,该方法具有显着的改进。而且,所提出的方法可以容易地与统一和非统一节点部署一起使用。 (C)2016 Elsevier B.V.保留所有权利。

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