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

Background: This paper proposes efficient employment of a self-powered VANET infrastructure. Miscellaneous techniques and algorithms are suggested to help the realization of such a framework. Objective: 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. Methods: The green fog layer consists of three components: a self-powered edge server, Wireless Solar Routers (WSRs), and a new device resulting 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. Results: A proper power management strategy is suggested and installed locally in the self-powered devices to decrease their power utilization by 80% and lengthen their batteries' lifetime from 17 to 64 hours. Conclusion: The different methods and algorithms suggested in this paper are realized and tested using an experimental framework based on a 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.