Green energy harvesting strategies on edge-based urban computing in sustainable internet of things

Abstract

The development of intelligent urban computing has carried out different critical smart ecological and energy harvesting topics such as intelligent cities and societies. The main concept of the sustainable smart city is established for collecting and negotiation of the Internet of things (IoT) devices and smart applications to help and enhancement of human life. On the other hand, energy harvesting management as an important issue in sustainable urban computing has several challenges arising from the exponential growth of IoT devices, smart applications, and complex population to decrease the related factors on the energy consumption, power-saving, and environmental waste management. However, the notion of energy harvesting management for sustainable urban computing is still growing exponentially, and it should be attended to due to economic factors and governmental obstacles. This paper reviews different existing green energy harvesting strategies on the smart applications of sustainable and smart cities in edge-based intelligent urban computing. The existing energy harvesting strategies have been divided into five categories: smart home management, smart cities, smart grids, smart environmental systems, and smart transportation systems. This review aims to classify technical aspects of energy harvesting management methods in sustainable urban computing concerning applied algorithms, evaluation factors, and evaluation environments. As technical results, a general discussion is essential for the development of existing challenges and open research directions of energy harvesting and waste management for sustainable smart cities that contribute expressively to enhance the energy consumption of smart applications and human life in complex and metropolitan areas.