Abstract
Due to the rapid development of wireless charging technology, the recharging issue in wireless rechargeable sensor network (WRSN) has been a popular research problem in the past few years. The weakness of previous work is that charging route planning is not reasonable. In this work, a dynamic optimal scheduling scheme aiming to maximize the vacation time ratio of a single mobile changer for WRSN is proposed. In the proposed scheme, the wireless sensor network is divided into several sub-networks according to the initial topology of deployed sensor networks. After comprehensive analysis of energy states, working state and constraints for different sensor nodes in WRSN, we transform the optimized charging path problem of the whole network into the local optimization problem of the sub networks. The optimized charging path with respect to dynamic network topology in each sub-network is obtained by solving an optimization problem, and the lifetime of the deployed wireless sensor network can be prolonged. Simulation results show that the proposed scheme has good and reliable performance for a small wireless rechargeable sensor network.
Highlights
Wireless sensor network (WSN) is a novel technology for acquiring information and processing information, and it can be widely used in environmental detection, civil infrastructure, target tracking, information security, intelligent medical care, etc
The effect of the moving speed of the mobile charger: Previous work failed to neglect the importance of the location of service station: Non periodic charging problem in wireless rechargeable sensor network (WRSN): How to apply the rest sensor nodes if the residual energy of a part of nodes in the network reaches the threshold
When the energy of the sensor node drops to the threshold value, the sensor node is waiting for the mobile charger to charge
Summary
Wireless sensor network (WSN) is a novel technology for acquiring information and processing information, and it can be widely used in environmental detection, civil infrastructure, target tracking, information security, intelligent medical care, etc. The effect of the moving speed of the mobile charger: Previous work failed to neglect the importance of the location of service station: Non periodic charging problem in WRSN: How to apply the rest sensor nodes if the residual energy of a part of nodes in the network reaches the threshold. To solve the optimization problem, a novel recharging scheduling is proposed to maximize the vacation time of mobile charger This method can give a reasonable visiting path through the local optimum of the sub-networks. Different from the existing single mobile charger schemes, the contributions of this work are summarized briefly as following: We propose a new method to determine the optimal location for the service station.
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