Optimizing Wireless Charger Placement for Rechargeable Wireless Sensors

The interconnected intelligent sensors in the Internet of Things provides the ability for the objects to sense the data from its ecosystem, processes and transmits the data wirelessly. These sensors are powered by batteries with limited capacity that supplies the needed energy to perform the entire task until it depletes. Thus, the limited energy needs efficient management to improve the lifetime of the network. The most promising solution to extend network lifetime is utilizing wireless chargers to replenish the batteries of sensor nodes. The main challenge in the deployment of the wireless charger is to utilize the minimum number of chargers to charge all the sensors such that it reduces the cost of the system. Hence, coverage based sequential vertex coloring algorithm is proposed in this paper to identify the number of chargers required to charge the entire sensors. The proposed algorithm determines the optimal spot for the chargers and the results obtained by the proposed algorithm outperforms the result of random deployment and Discrete Haar Wavelet Transform algorithm.