Design of optimal utility of wireless rechargeable sensor networks via joint spatiotemporal scheduling |
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| Institution: | 1. School of Computer and Information, Anhui Normal University, Wuhu 241002, China;2. School of Management, Guangzhou University, Guanghzou 510006, China;3. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;1. Department of Mathematics, Sarala Birla University, Ranchi-835103, India;2. Department of Mathematics, Birla Institute of Technology, Mesra-835215, India;1. National Institute of Telecommunications - Inatel, Av. João de Camargo, 510, Santa Rita do Sapucaí, 37540-000, MG, Brazil;2. ASML, De Run 6501, Veldhoven 5504DR, The Netherlands;1. College of Information Science and Engineering, Institute of Artificial Intelligence, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China;2. Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, China;3. Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, Australia |
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| Abstract: | In wireless rechargeable sensor networks, how to optimize energy resources for maximizing the sensor data is a challenging problem. In this paper, mobile charging vehicle scheduling, sensor charging time splitting and rate control with battery capacity constraints are considered together to maximize network utility. However, they are considered independently in exist works even though these problems are interdependent. In order to improve network performance through collaborative optimization of three problems, a joint optimization problem is formulated firstly. Then, a multistage approach is developed to jointly optimize the three subproblems iteratively. Furthermore, an accelerated distributed algorithm is integrated to improve the convergence speed of rate control. The results of extended experiments demonstrate that proposed approach can obtain higher network utility and charging efficiency compared to other charging scheduling methods. |
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