Title
RCSS: A Real-Time On-Demand Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks.
Abstract
With the emergence of edge computing, a large number of devices such as sensor nodes have been deployed in the edge network to sense and process data. However, how to provide real-time on-demand energy for these edge devices is a new challenge issue of edge networks. In real-world applications of edge computing, sensor nodes usually have different task burdens due to the environmental impact, which results in a dynamic change of the energy consumption rate at different nodes. Therefore, the traditional periodical charging mode cannot meet the nodes charging demand that have dynamic energy consumption. In this paper, we propose a real-time on-demand charging scheduling scheme (RCSS) under the condition of limited mobile charger capacity. In the process of building the charging path, RCSS adequately considers the dynamic energy consumption of different node, and puts forward the next node selection algorithm. At the same time, a method to determine the feasibility of charging circuit is also proposed to ensure the charging efficiency. During the charging process, RCSS is based on adaptive charging threshold to reduce node mortality. Compared with existing approaches, the proposed RCSS achieves better performance in the number of survival nodes, the average service time and charging efficiency.
Year
DOI
Venue
2018
10.3390/s18051601
SENSORS
Keywords
Field
DocType
adaptive charging threshold,energy consumption rate,on-demand charging scheduling,wireless rechargeable sensor networks (WRSNs)
Edge computing,Wireless,Scheduling (computing),Selection algorithm,Enhanced Data Rates for GSM Evolution,Electronic engineering,Real-time computing,Edge device,Engineering,Energy consumption,Wireless sensor network
Journal
Volume
Issue
Citations 
18
5.0
7
PageRank 
References 
Authors
0.46
17
5
Name
Order
Citations
PageRank
Ping Zhong1284.89
Yiwen Zhang2285.81
Shuaihua Ma370.80
Xiaoyan Kui46912.54
Jianliang Gao510620.98