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

机译:基于传感器网络最大充值效益的高效数据采集方法

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摘要

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.
机译:为了减少无线充电传感器网络(WRSN)数据采集过程中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收益(DCMRB)的高效数据采集方法。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)进行高效的数据收集和能量补充。为了保证数据收集的完整性和减少丢包率,还提出了一种用于MDC的速度调整方案。另外,通过计算充电请求的自适应阈值,可以及时为具有不同能量消耗率的那些节点充电,以避免其过早死亡。最后,还考虑了WCV的有限电池容量和移动时的能耗,并提出了一种基于最大利益的自适应充电方案。实验结果表明,DCMRB中的能量消耗得到了有效平衡。此外,与能源匮乏避免在线收费方案(ESAOC),基于最大充值收益的贪婪移动方案(GMS-MRB)和先到先得相比,这不仅可以提高数据收集的效率,而且可以延长网络寿命。服务(FCFS)方法。

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