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基于传感器网络中最大充电效益的数据高效收集方法。

A High-Efficiency Data Collection Method Based on Maximum Recharging Benefit in Sensor Networks.

机构信息

School of Computer Science, Software and Cyberspace Security, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China.

出版信息

Sensors (Basel). 2018 Aug 31;18(9):2887. doi: 10.3390/s18092887.

DOI:10.3390/s18092887
PMID:30200353
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6163808/
Abstract

To reduce time delays during data collection and prolong the network lifetime in Wireless Rechargeable Sensor Networks (WRSNs), a type of high-efficiency data collection method based on Maximum Recharging Benefit (DCMRB) is proposed in this paper. According to the minimum number of the Mobile Data Collectors (MDCs), the network is firstly divided into several regions with the help of the Virtual Scan Line (VSL). Then, the MDCs and the Wireless Charging Vehicles (WCVs) are employed in each region for high efficient data collection and energy replenishment. In order to ensure the integrity of data collection and reduce the rate of packet loss, a speed adjustment scheme for MDC is also proposed. In addition, by calculating the adaptive threshold of the recharging request, those nodes with different energy consumption rates are recharged in a timely way that avoids their premature death. Finally, the limited battery capacity of WCVs and their energy consumption while moving are also taken into account, and an adaptive recharging scheme based on maximum benefit is proposed. Experimental results show that the energy consumption is effectively balanced in DCMRB. Furthermore, this can not only enhance the efficiency of data collection, but also prolong the network lifetime compared with the Energy Starvation Avoidance Online Charging scheme (ESAOC), Greedy Mobile Scheme based on Maximum Recharging Benefit (GMS-MRB) and First-Come First-Served (FCFS) methods.

摘要

为了减少无线可充电传感器网络（WRSN）中数据收集的时间延迟并延长网络寿命，本文提出了一种基于最大充电效益（DCMRB）的高效数据收集方法。根据移动数据收集器（MDC）的最小数量，首先借助虚拟扫描线（VSL）将网络划分为几个区域。然后，在每个区域中使用 MDC 和无线充电车（WCV）来高效地进行数据收集和能量补充。为了确保数据收集的完整性并降低数据包丢失率，还提出了一种 MDC 的速度调整方案。此外，通过计算充电请求的自适应阈值，可以及时对具有不同能耗率的节点进行充电，从而避免它们过早死亡。最后，还考虑了 WCV 的有限电池容量及其移动时的能耗，并提出了一种基于最大效益的自适应充电方案。实验结果表明，DCMRB 中有效地平衡了能量消耗。此外，与能量饥饿避免在线充电方案（ESAOC）、基于最大充电效益的贪婪移动方案（GMS-MRB）和先到先服务（FCFS）方法相比，DCMRB 不仅可以提高数据收集效率，还可以延长网络寿命。

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