Wireless network

Electrical engineering

Scheduling (production processes)

Computer network

Mathematics

Job shop scheduling

Wireless

Algorithm

Distributed computing

Statistics

Mathematical optimization

Engineering

Wireless sensor network

Energy consumption

Computer science

Flexibility (engineering)

Integer programming

Routing (electronic design automation)

Real-time computing

Scalability

Telecommunications

Database

IEEE Internet of Things Journal

Wireless charging provides dynamic power supply for wireless sensor networks (WSNs). Such systems, are typically considered under the scenario of wireless rechargeable sensor networks (WRSNs). With the use of mobile chargers (MCs), the flexibility of WRSNs is further enhanced. However, the use of MCs poses several challenges during the system design. The coordination process has to simultaneously optimize the scheduling, the moving time, and the charging time of multiple MCs under limited system resources (time and energy). Efficient methods that jointly solve these challenges are generally lacking in the literature. In this paper, we address the multiple MCs coordination problem under multiple system requirements. First, we aim at minimizing the energy consumption of MCs, guaranteeing that every sensor will not run out of energy. We formulate the multiple MCs coordination problem as a mixed-integer linear programming and derive a set of desired network properties. Second, we propose a novel decomposition method to optimally solve the problem, as well as to reduce the computation time. Our approach divides the problem into a subproblem for the MC scheduling and a subproblem for the MC moving time and charging time, and solves them iteratively by utilizing the solution of one into the other. The convergence of proposed method is analyzed theoretically. Simulation results demonstrate the effectiveness and scalability of the proposed method in terms of solution quality and computation time.

Energy-Aware Multiple Mobile Chargers Coordination for Wireless Rechargeable Sensor Networks