ChaseCharge: Charging Sensors by Chasing in Sensor-Cloud Systems-Reference-Cited by-同舟云学术

ChaseCharge: Charging Sensors by Chasing in Sensor-Cloud Systems

Published:2023-02-13 Issue: Volume: Page:
ISSN:1550-4859
Container-title:ACM Transactions on Sensor Networks
language:en
Short-container-title:ACM Trans. Sen. Netw.

Author:

Lin Chi¹,Guo Rui¹,Xiang Chaocan²,Wang Yi³,Lin Qiang⁴

Affiliation:

1. School of Software Technology, Dalian University of Technology Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, China

2. The College of Computer Science, Chongqing University, Chongqing, China

3. The DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China

4. School of Maritime Economics and Management, Dalian Maritime University Collaborative Innovation Center for Transport Studies, Dalian Maritime University The party school of municipal Party committee of Dalian, China

Abstract

The recent breakthrough in wireless power transfer technology enables power to be delivered between transceivers, which is quite helpful for sensor-cloud systems. Traditional charging schemes are only suitable for static sensors, while the issue of charging mobile sensors is ignored. In this paper, we make the first attempt to serve mobile sensors in the sensor-cloud systems in a “chasing” way, where a mobile charger can chase mobile sensors to replenish them. We formalize the charging utility MAximization Problem for dynamic sensors with a mobile charger (MAP) and propose a ChaseCharge algorithm based on RNN to solve it. Theoretical analyses are presented to explore the features of the proposed scheme. We carry out simulations, and the results show that the performance of our algorithm outperforms comparison algorithms by 33% in utility on average. Test-bed experiments are conducted to validate the applicability of the proposed scheme in oceanic monitoring applications.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Link

https://dl.acm.org/doi/pdf/10.1145/3582885

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