A review on solar forecasting and power management approaches for energy‐harvesting wireless sensor networks. (24th February 2020)

• Record Type: Journal Article
• Authors: Sharma, Amandeep; Kakkar, Ajay
• Is Part Of: International journal of communication systems. Volume 33:Number 8(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-02-24
• Subjects: adaptive duty cycling -- energy neutral state -- energy prediction -- prediction horizons; Telecommunication systems -- Periodicals; 621.382
• DOI: 10.1002/dac.4366
• Languages: English
• ISSNs: 1074-5351

Abstract

Summary: For rechargeable wireless sensor nodes, effective power management is of prime importance because of the stochastic behaviour of the environmental resources. A key issue in integrating solar resources with wireless sensor networks (WSNs) is the need of precise irradiance measurements and power to resource modelling. WSNs are employed in an adhoc manner comprises of numerous sensing nodes and organised as a network for the sake of checking and balancing the environmental factors. Each node has sensing, computation, communication, and locomotion capabilities but operates with limited battery life. Energy harvesting is a way of powering these WSNs by harvesting energy from the environment. By considering harvested energy as an energy source, certain considerations are different from that of battery‐operated networks. Nondeterministic energy availability with respect to time is the reason behind these differences, which put a limit on the maximum rate at which energy can be used. Thus, reliable knowledge of solar radiation is essential for informed design, deployment planning, and optimal management of energy in rechargeable WSNs. Further, power management is essential in self‐powerssed networks to efficiently utilize the available energy. In this paper, a detailed survey on different solar forecasting techniques has been presented for precise energy estimates. A detailed study on energy efficient power management techniques is also proposed to address the feasibility of energy‐harvesting approach in WSNs. Abstract : A detailed review on energy harvested wireless sensor networks has been proposed. Different solar forecasting techniques have been analysed that provide pre‐estimation of solar irradiance as input for different power management techniques. A detailed discussion on power management approaches makes a platform for environmentally powered sensor networks.