ABSTRACT
Energy harvesting (EH) is emerging as an option for field-deployable wireless sensor network (WSN)-based Internet of Things (IoT) applications. Several solar-based EH prototypes have been proposed for WSNs and IoT networks that can improve energy efficiency. In the energy harvesting process from road traffic-induced vibrations, the moving vehicles-based EH is a stochastic process because of the variations in the vehicles’ weight and in the number of vehicles. One of the most critical questions in the deployment of the Radio Frequency (RF)-based energy harvesting technology is how to evaluate the efficiency of RF energy harvesting system. The chapter presents an effective energy-harvesting-aware routing algorithm to address the issues of energy efficiency, quality-of-service and network lifetime extension in the presence of the solar-based EH technique. The deployment of the energy back-off process in the EH-Adaptive Beacon Order, Superframe Order, and Duty Cycle algorithm causes slight degradations in the system throughput and the end-to-end delay.
