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A geographic routing oriented sleep scheduling algorithm in duty-cycled sensor networks

机译:占空比传感器网络中面向地理路由的睡眠调度算法

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Geographic routing is assumed to be the most potential routing scheme in wireless sensor networks (WSNs) due to its scalability and efficiency. Recently more and more research work about geographic routing pay attention to its application scenarios in duty-cycled WSNs because of the natural advantage of saving energy consumption with duty-cycling. However, it may cause significant latency issue when applying geographic routing in duty-cycled WSNs and almost all current researches try to handle the latency problem from the point of changing the geographic forwarding mechanism, apart from the connected-k neighborhood (CKN) algorithm which focuses on sleep scheduling. In this paper, we discuss and analyze the first transmission path's performance of the two-phase geographic forwarding (TPGF) in a CKN based WSN and further propose a geographic routing oriented sleep scheduling (GSS) algorithm to shorten the first transmission path of TPGF in duty-cycled WSNs. Further theoretical and simulation results show that GSS can achieve a good tradeoff between the length of the first transmission path explored by TPGF and the total energy consumption to transmit data with the explored first transmission path, compared with the CKN sleep scheduling algorithm.
机译:地理路由被认为是无线传感器网络(WSN)中最有潜力的路由方案,因为它具有可扩展性和效率。近年来,越来越多的有关地理路由的研究工作都关注其在占空比WSN中的应用场景,这是因为利用占空比来节省能源具有自然的优势。但是,在占空比WSN中应用地理路由时,这可能会导致严重的延迟问题,并且除连接k邻域(CKN)算法之外,几乎所有当前的研究都试图从更改地理转发机制的角度来处理延迟问题。专注于睡眠调度。在本文中,我们讨论并分析了基于CKN的WSN中两阶段地理转发(TPGF)的第一传输路径的性能,并进一步提出了一种面向地理路由的睡眠调度(GSS)算法,以缩短TPGF的第一传输路径。循环型无线传感器网络。进一步的理论和仿真结果表明,与CKN睡眠调度算法相比,GSS可以在TPGF探索的第一传输路径的长度与通过探索的第一传输路径传输数据的总能耗之间取得良好的折衷。

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