An Intelligent Wireless Charging Vehicle (IWCV) in Wireless Sensor Network

Abstract

Wireless sensor networks (WSN) are limited by battery power. For this reason, limited network life is often considered a severe problem. Recent advances in wireless power transmission offer the potential to eliminate these performance bottlenecks. In other words, it allows the sensor network to function indefinitely. In this article, we will discuss how sensor networks work with this new technology for energy distribution. Imagine a mobile charger situation having to pass over many sensors to keep charging each node batteries. It introduces the concept of the renewable energies cycle and provides sufficient energies for WSN. In this paper, we assessed the wireless charges framework by comparing so many factors, including the sensor node group heads and the wireless charging vehicle (WCV) energized in a particular distance. First, we assess the small size of the sensor nodes conceivably to fit the truck's capacity and then investigated a optimization problem to maximize the link between all nodes and intelligent wireless charging vehicle (IWCV) cycle times. It has been proved that the optimal traveling path for the IWCV is the shortest Hamiltonian cycle for this issue. To develop optimum solutions and to demonstrate confidence in performance, authors have used linear approach technology. Finally, the load period of network test results reveal that the wireless sensor lifetime can indeed be considerably enhanced.