An Efficient Power Management Strategy of a ‎Solar Powered Smart Camera-Road Side Unit ‎Integrated Platform

This paper proposes an efficient employment of ‎a self-powered VANET infrastructure. Miscellaneous techniques and ‎algorithms are suggested to help the realization of such ‎a framework. The current work attempts to enhance the ‎network architecture of the Green VANET by adopting the self-powered fog computing ‎concept for better ‎networking, computing, and storage performance. The green fog ‎layer consists of three components: a self-powered edge server, ‎Wireless Solar Routers (WSRs), and a new device resulted from ‎the integration between a solar-powered Smart Camera (SC) and ‎a solar-powered Road Side Unit (RSU) in order to create a better ‎sensing mechanism of the road traffic. A proper power ‎management strategy is suggested and installed locally in the self-powered devices to decrease their power utilization by 80% ‎and to lengthen the lifetime of their batteries from 17 to 64 hours. The different ‎methods and algorithms suggested in this paper are realized and ‎tested using an experimental framework based on mix of ‎evaluation kits. It is noticed that the suggested power management algorithm can adjust the duty cycling according to the accessible energy levels and thus the SC-RSU nodes and the WSRs keep on working in a pre-managed and arranged manner.