ABSTRACT
Wireless Power Transfer technology is a convenient and reliable method for supplying power to wireless devices. In recent years, this technique has been practically used in Internet of Things for power supply to the wireless devices. This technique efficiently solves the finite battery power problem of the devices. Previously proposed models on optimal charger deployment have not considered the effect of data traffic distribution in the network on energy consumption of devices. Traffic distribution causes the nonuniform energy consumption of devices. Because of it, the network performance deteriorates. In this context, we propose a method to find optimal location for charger deployment based on transferable belief model. Further, we determine the maximum energy supplied by charger in the network for calculation of combined belief to select the optimal location. An algorithm to find the optimal number of chargers to be deployed in the network has also been proposed. This algorithm minimizes the number of chargers, resulting to cost-effective network. It also optimizes the network performance by increasing the network lifetime. The results obtained from simulation show that the proposed technique for charger deployment performs better with 76less chargers than random deployment approach. The performance of the network has also been determined based on variable parameters of the proposed algorithm.
