title: The optimization based dynamic and cyclic working strategies for rechargeable wireless sensor networks with multiple base stations and wireless energy transfer devices.
abstract: In this paper, the optimal working schemes for wireless sensor networks with multiple base stations and wireless energy transfer devices are proposed. The wireless energy transfer devices also work as data gatherers while charging sensor nodes. The wireless sensor network is firstly divided into sub networks according to the concept of Voronoi diagram. Then, the entire energy replenishing procedure is split into the pre-normal and normal energy replenishing stages. With the objective of maximizing the sojourn time ratio of the wireless energy transfer device, a continuous time optimization problem for the normal energy replenishing cycle is formed according to constraints with which sensor nodes and wireless energy transfer devices should comply. Later on, the continuous time optimization problem is reshaped into a discrete multi-phased optimization problem, which yields the identical optimality. After linearizing it, we obtain a linear programming problem that can be solved efficiently. The working strategies of both sensor nodes and wireless energy transfer devices in the pre-normal replenishing stage are also discussed in this paper. The intensive simulations exhibit the dynamic and cyclic working schemes for the entire energy replenishing procedure. Additionally, a way of eliminating "bottleneck" sensor nodes is also developed in this paper.
authors.affiliation: School of Computer and Information, Hefei University of Technology, No.193 Tunxi Road, Hefei 230009, China. dixon.ding@aliyun.com.
authors.forename: Xu
authors.initials: X
authors.lastname: Ding
authors.affiliation: School of Computer and Information, Hefei University of Technology, No.193 Tunxi Road, Hefei 230009, China. hanjh@hfut.edu.cn.
authors.forename: Jianghong
authors.initials: J
authors.lastname: Han
authors.affiliation: School of Computer and Information, Hefei University of Technology, No.193 Tunxi Road, Hefei 230009, China. thunder10@163.com.
authors.forename: Lei
authors.initials: L
authors.lastname: Shi