Active energy management for harvesting enabled wireless sensor networks

Nouman Ashraf, Waqar Asif, Hassaan Khaliq Qureshi, Marios Lestas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2017 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017 - Proceedings
EditorsTommaso Melodia, Klaus Wehrle, Marios Lestas, Konstantinos Psounis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages57-60
Number of pages4
ISBN (Electronic)9783901882883
DOIs
Publication statusPublished - 28 Mar 2017
Externally publishedYes
Event13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017 - Jackson Hole, United States
Duration: 21 Feb 201724 Feb 2017

Publication series

Name2017 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017 - Proceedings

Conference

Conference13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017
Country/TerritoryUnited States
CityJackson Hole
Period21/02/201724/02/2017

Keywords

  • Energy harvesting
  • Energy management
  • Non-linear Control
  • Wireless sensor networks

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