School of Computer and Information Engineering, Chuzhou University, Chuzhou 239000, China.
Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 25137, Taiwan.
Sensors (Basel). 2018 Aug 10;18(8):2627. doi: 10.3390/s18082627.
Data collection problems have received much attention in recent years. Many data collection algorithms that constructed a path and adopted one or more mobile sinks to collect data along the paths have been proposed in wireless sensor networks (WSNs). However, the efficiency of the established paths still can be improved. This paper proposes a cooperative data collection algorithm (CDCA), which aims to prolong the network lifetime of the given WSNs. The CDCA initially partitions the sensor nodes into groups and assigns each mobile sink acting as the local mobile sink to collect data generated by the sensors of each group. Then the CDCA selects an appropriate set of data collection points in each group and establishes a separate path passing through all the data collection points in each group. Finally, a global path is constructed and the rendezvous time points and the speed of each mobile sink are arranged for collecting data from local mobile sinks to the global mobile sink. Performance evaluations reveal that the proposed CDCA outperforms the related works in terms of rendezvous time, network lifetime, fairness index as well as efficiency index.
近年来，数据收集问题受到了广泛关注。在无线传感器网络（WSN）中，已经提出了许多构建路径并采用一个或多个移动汇聚点沿着路径收集数据的数据收集算法。然而，建立的路径的效率仍然可以得到提高。本文提出了一种协作数据收集算法（CDCA），旨在延长给定 WSN 的网络寿命。CDCA 最初将传感器节点分成若干组，并为每个移动汇聚点分配一个本地移动汇聚点，以收集每个组的传感器生成的数据。然后，CDCA 在每个组中选择一组适当的数据收集点，并建立一条通过每个组中所有数据收集点的单独路径。最后，构建一个全局路径，并安排每个移动汇聚点的会合时间点和速度，以便从本地移动汇聚点向全局移动汇聚点收集数据。性能评估表明，与相关工作相比，所提出的 CDCA 在会合时间、网络寿命、公平指数和效率指数方面表现更好。
