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Energy efficient gathering of delay tolerant sensing data in wireless sensor networks

机译:无线传感器网络中延迟容忍传感数据的节能集合

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Certain sensor applications can tolerate sensing data being delivered within certain delay. In such a case, the mobility of sink node can be exploited in conjunction with sensing data buffering to greatly enhance the energy efficiency of data gathering in wireless sensor networks. That is, each sensor node sends its data to a location (called `sink site') over the migration path of the mobile sink and the sensor node at the location stores the data until the mobile sink node arrives. In this paper, we propose a heuristic algorithm that determines the most effective sink site from the energy efficiency view point for each sensor node and determines the route between the sensor node and the corresponding sink site. Our heuristic is designed on the basis of the insight obtained from the analysis of the optimal solution. The proposed scheme requires only local knowledge, which ensures scalability. The simulation results show that the proposed heuristic algorithm results near-optimal performance under various scenarios.
机译:某些传感器应用可以容忍在某些延迟内传送的传感数据。在这种情况下,可以与感测数据缓冲结合感测数据缓冲来利用汇聚节点的移动性,从而大大提高无线传感器网络中的数据收集的能量效率。也就是说,每个传感器节点通过移动接收器的迁移路径和位置处的传感器节点将其数据发送到位置(称为`沉位数'),并且在移动宿节点到达之前将数据存储数据。在本文中,我们提出了一种启发式算法,该算法从每个传感器节点的能效视点确定最有效的沉降站点,并确定传感器节点和相应的宿站之间的路由。我们的启发式是根据从最佳解决方案分析获得的洞察力的洞察力设计的。该方案只需要本地知识,确保可扩展性。仿真结果表明,拟议的启发式算法在各种场景下导致了近最佳性能。

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