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Mobile Charger Recharge Scheduling Algorithm based on Data Quality in Wireless Sensor Networks

The wireless energy transfer (WET) technology advances the recharging techniques of sensors in wireless sensor networks. With the help of WET technology, the mobile charger (MC) traverses the network to recharge the sensors. Most of the literature works ignored the spatial and temporal qualities of the sensors, which led to achieving the lower data quality of the network, posing as a bottleneck for further improvement. Therefore, this paper proposed a mobile charger recharge scheduling (MCRS) algorithm to recharge the sensors based on spatial and temporal qualities, aiming to maximize the data quality of the network. Experiments reveal that the proposed MCRS algorithm yields the highest performance in terms of data quality compared to the existing works.