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Maximizing energy utilization routing scheme in wireless sensor networks based on minimum hops algorithm

机译:基于最小跳算法的无线传感器网络能量利用路由方案最大化

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摘要

In this article, we study the gradient-based approaches for efficient data dissemination in wireless sensor networks. Based on the classical minimum hop algorithm, we develop a Maximizing Energy Utilization Routing Protocol (MEURP), which exploits local flooding mechanism to contact with multiple neighboring nodes. In contrast with the traditional flat-based algorithm, our MEURP solution enjoys a back-off waiting scheme to alleviate the flooding overhead in the course of gradient setup phase. For ease of implementation, we also introduce an IEEE 802.11 liked mechanism to cope with the channel contention, as well as the packet transmission errors. Together with employing a concise cost table associated with each intermediate node, MEURP makes use of a multiple routing selection mechanism to forward packets. In face of the frequent alteration of network topology, a compact gradient reconfiguration mechanism is also brought in. Simulation experiments demonstrate that MEURP significantly outperform traditional flat-based and energy aware algorithms in terms of network lifetime and data packet throughput, respectively.
机译:在本文中,我们研究了基于梯度的方法在无线传感器网络中进行有效的数据分发。在经典最小跳算法的基础上,我们开发了一种最大化能量利用路由协议(MEURP),该协议利用本地洪泛机制与多个相邻节点进行联系。与传统的基于平面的算法相比,我们的MEURP解决方案采用了退避等待方案,以减轻梯度设置阶段过程中的泛洪开销。为了易于实现,我们还引入了一种IEEE 802.11相似的机制来应对信道争用以及数据包传输错误。结合采用与每个中间节点关联的简洁成本表,MEURP利用多重路由选择机制来转发数据包。面对网络拓扑结构的频繁更改,还引入了紧凑的梯度重新配置机制。仿真实验表明,MEURP在网络寿命和数据包吞吐量方面分别明显优于传统的基于平面和能量感知的算法。

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