Efficient Scheduling Strategy for Mobile Charger in Wireless Rechargeable Sensor Networks

With the development of wireless sensor networks, the limited battery capacity of sensor nodes has become one of energy bottleneck problem that dominates the wide application of wireless sensor networks. In recent years, wireless rechargeable sensor networks have attracted much attention due to their potential in solving the energy bottleneck problem. In this paper, we study the scheduling strategy of mobile charger in the on-demand mobile charging wireless sensor networks. The proposed strategy divides the sensor nodes of service pool into two categories, such that the mobile charger can provide charging service in some priority according to the degree of charging request urgency during the charging tour. The proposed algorithm successfully reduces charging missing ratio by 89 percent, and it can keep the charging throughput decline rate less than 9.91 percent.

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