@inproceedings{fff23476c2614944bc356850d638ef87,
title = "Active energy management for harvesting enabled wireless sensor networks",
abstract = "In this work, we propose a novel control based scheme for energy management in wireless sensor networks with energy harvesting capability. The problem is viewed as a queue control problem where the objective is to maintain a reference energy level of the energy storage device. A validated nonlinear queueing model is considered and a robust nonlinear controller is considered whose convergence properties are established analytically. The proposed control algorithm incorporates predictions of the energy to be harvested which are generated using the recently proposed Accurate Solar Irradiance Prediction Model (ASIM). The combined control and prediction scheme is evaluated using analysis and simulations. Preliminary simulation results conducted on the NS-3 simulator demonstrate the ability of the scheme to achieve its design objective as the energy level oscillates about values close to the desired level.",
keywords = "Energy harvesting, Energy management, Non-linear Control, Wireless sensor networks",
author = "Nouman Ashraf and Waqar Asif and Qureshi, {Hassaan Khaliq} and Marios Lestas",
note = "Publisher Copyright: {\textcopyright} 2017 IFIP.; null ; Conference date: 21-02-2017 Through 24-02-2017",
year = "2017",
month = mar,
day = "28",
doi = "10.1109/WONS.2017.7888757",
language = "English",
series = "2017 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "57--60",
editor = "Tommaso Melodia and Klaus Wehrle and Marios Lestas and Konstantinos Psounis",
booktitle = "2017 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017 - Proceedings",
address = "United States",
}