Abstract
This chapter discusses important recharge scheduling problems in WRSNs. Our primary objective is to reduce energy cost on the charging vehicle while maintaining the perpetual operation of the network. We first discuss the emergency recharge scheduling problem and provide an efficient algorithm to solve it. Then we discuss the normal recharge problem by formulating it into an optimization problem, which is NP-hard. We present two algorithms for this problem. The first algorithm leverages a weighted sum of node lifetime and charging vehicle’s traveling time to make recharge decisions. The second algorithm consists of three steps: network partition, capture charging vehicle’s capacity and improve recharge routes based on node’s lifetime.
Keywords
- Vehicle Charging
- Recharge Routes
- Capacitated Minimum Spanning Tree (CMST)
- Recharge Sequence
- Moving Energy Cost
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Yang, Y., Wang, C. (2015). Recharge Scheduling. In: Wireless Rechargeable Sensor Networks. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-17656-7_4
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DOI: https://doi.org/10.1007/978-3-319-17656-7_4
Publisher Name: Springer, Cham
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