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An Energy-Efficient and Relay Hop Bounded Mobile Data Gathering Algorithm in Wireless Sensor Networks

机译:无线传感器网络中的节能和中继跳有界移动数据收集算法

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Recent studies reveal that great benefit can be achieved by employing mobile collectors to gather data in wireless sensor networks. Since the mobile collector can traverse the transmission range of each sensor, the energy of nodes may be saved near maximally. However, for directly receiving data packet from every node, the length of mobile collector route should be very long. Hence it may significantly increase the data gathering latency. To solve this problem, several algorithms have been proposed. One of them called BRH-MDG found that data gathering latency can be effectively shortened by performing proper local aggregation via multihop transmissions and then uploading the aggregated data to the mobile collector. But, the BRH-MDG algorithm did not carefully analyze and optimize the energy consumption of the entire network. In this paper, we propose a mathematical model for the energy consumption of the LNs and present a new algorithm called EEBRHM. The simulation results show that under the premise of bounded relay hop, compared with BRH-MDG, EEBRHM can prolong the networks lifetime by 730%.
机译:最近的研究表明,通过使用移动收藏家可以在无线传感器网络中收集数据来实现巨大的利益。由于移动集电极可以遍历每个传感器的传输范围,因此节点的能量可以近似地节省。但是,对于从每个节点直接接收数据包,移动收集器路径的长度应该很长。因此,它可能会显着增加数据收集延迟。为了解决这个问题,已经提出了几种算法。其中一个名为BRH-MDG发现,通过通过多跳传输执行适当的本地聚合,然后将聚合数据上载到移动收集器,可以有效地缩短其中一个。但是,BRH-MDG算法没有仔细分析和优化整个网络的能量消耗。在本文中,我们提出了一种用于LNS的能量消耗的数学模型,并提出了一种名为Eebrhm的新算法。仿真结果表明,在有界继电器的前提下,与BRH-MDG相比,EECHM可以延长网络寿命730%。

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