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Bounded Relay Hop in the Cluster Based Multi-robot Data Gathering in Wireless Sensor Networks

机译:无线传感器网络中基于集群的多机器人数据收集中的有界中继跳

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Recent research has shown that using mobile robots as mobile nodes to gather and carry data in WSNs can effectively reduce the data relay hop count and improve the lifetime of the WSNs. But because of the low speed feature of the mobile robot, a greater time delay has been produced in the process of gathering data in WSNs with mobile robot. In order to make a balance between the lifetime of WSNs and the time delay of mobile robot data gathering, this paper proposes a Bounded Relay Hop in the Cluster based Multi-robot Data Gathering (BRHC-MRDG) problem, and formulates the BRHC-MRDG as an integer linear programming. In order to solve the BRHC-MRDG problem, the Distributed Double-layer Clustering Data Gathering Algorithm (DDC-DGA) is proposed. In different parameter values, the comparison experiments are designed to verify the effectiveness of the DDC-DGA.
机译:最近的研究表明,使用移动机器人作为移动节点在WSN中收集和携带数据可以有效地减少数据中继跳数并提高WSN的寿命。但是由于移动机器人的低速特性,使用移动机器人在WSN中收集数据的过程中产生了更大的时间延迟。为了在无线传感器网络的寿命和移动机器人数据收集的时间延迟之间取得平衡,提出了基于集群的多机器人数据收集(BRHC-MRDG)问题中的有界中继跳,并提出了BRHC-MRDG作为整数线性规划。为了解决BRHC-MRDG问题,提出了一种分布式双层聚类数据收集算法(DDC-DGA)。在不同的参数值中,比较实验旨在验证DDC-DGA的有效性。

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