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Analysis, Comparison, and Optimization of Routing Protocols for Energy Harvesting Wireless Sensor Networks

机译:能量收集无线传感器网络的路由协议的分析,比较和优化

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Energy harvesting has been steadily gaining interest in the wireless sensor network community. Instead of minimizing the energy consumption and maximizing a networkȁ9;s operational time, the main challenge in energy harvesting sensor networks is to maximize the utility of the application subject to the harvested energy. One major challenge is to maximize the data delivery rates by exploiting the spatial variations of environmental energy. While there exists a multiplicity of energy-aware routing protocols for sensor networks without energy harvesting capabilities, only a small number of routing protocols have been published which explicitly account for energy harvesting. In this paper, we analyze and compare three state-of-the-art routing algorithms. While the original algorithms assume an idealized medium access control (MAC), a lossless wireless channel and global knowledge, we show that these assumptions lead to delusive results. We detail these findings by showing the influence of a low-power MAC protocol, a realistic wireless channel and the protocol overhead. Moreover, we show how to optimize the parameters of the MAC protocol for a given network configuration. By conducting various evaluations, we identify that our modified version of the R-MPRT algorithm outperforms the evaluated algorithms in scenarios where little energy is harvested from the environment.
机译:能量收集一直在无线传感器网络社区中逐渐引起关注。能量收集传感器网络的主要挑战不是使能耗最小化并最大化网络9的运行时间,而是要最大程度地提高应用所收集能量的利用率。一个主要的挑战是通过利用环境能量的空间变化来最大化数据传输速率。虽然存在用于传感器网络的多种能量感知路由协议,但没有能量收集功能,但仅发布了少量路由协议,这些路由协议明确说明了能量收集。在本文中,我们分析和比较了三种最新的路由算法。尽管原始算法假设理想化的媒体访问控制(MAC),无损无线信道和全局知识,但我们证明了这些假设会导致欺骗性结果。我们通过显示低功耗MAC协议,实际无线通道和协议开销的影响来详细说明这些发现。此外,我们展示了如何针对给定的网络配置优化MAC协议的参数。通过进行各种评估,我们发现在从环境中收集很少能量的情况下,我们的R-MPRT算法的改进版本优于评估后的算法。

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