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Experimental Study of Hop-based Energy Aware Routing Algorithm under Smart Grid Environment

机译:智能电网环境下跃点能量意识路由算法的实验研究

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As an important part of smart grid, wireless sensor networks (WSNs) have attracted lots of attention in recent years due to their wide potential applications. To date, many energy efficient routing algorithms have been proposed to improve energy efficiency and prolong network lifetime, with techniques like clustering, data fusion or some optimization methods such as genetic algorithm, fuzzy logic or particle swarm optimization etc. However, energy balancing problem arises when certain particular nodes or routes are overused. In this paper, we propose an Improved Hop-based Energy Aware Routing (HEAR-I) algorithm for WSNs based on our previous work, which can achieve both energy efficiency and balancing. It considers not only the hop number and distance but also residual energy of the next hop node. Simulation results show that our algorithm outperforms other routing algorithms in energy consumption, hop number and network lifetime.
机译:作为智能电网的重要组成部分,由于潜在的应用,近年来,无线传感器网络(WSNS)引起了很多关注。迄今为止,已经提出了许多节能路由算法以提高能效和延长网络寿命,具有聚类,数据融合或一些优化方法,如遗传算法,模糊逻辑或粒子群优化等。然而,出现了能量平衡问题当某些特定的节点或路由过度使用时。在本文中,我们基于我们之前的工作提出了一种改进的基于跳跃的能量感知路由(听力I)算法,可以实现能效和平衡。它不仅考虑跳数和距离,而且认为下一跳节点的剩余能量。仿真结果表明,我们的算法优于能耗,跳数和网络寿命中的其他路由算法。

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