ABSTRACT
This chapter investigates the state-of-the-art resource management and scheduling algorithms that can be used in energy harvesting industrial wireless sensor networks (IWSNs). The popular source of the ambient energy is the sun. Solar energy is becoming widely used, due to its high power density compared to other sources of ambient energy. The chapter presents both basic and advanced expectation models for solar energy harvesting. Based on these expectation models, it suggests energy allocation algorithms, Simple Solar Energy Allocation, Accurate Solar Energy Allocation, to achieve optimal use of harvested energy. D. K. Noh and K. Kang develop a practical flow control algorithm that aims to maximize the amount of data collected by both flow-centric and storage centric WSNs. Fixed Power, Minimum-Interference, and Multi-Sink are simple, location-based power allocation algorithms developed for structural monitoring applications with multiple sinks. MAX-UTILITY is an epoch-based, polynomial-time, and centralized rate allocation algorithm, designed to maximize total network utility, that is, the aggregate utility of all nodes.
