Energy management in harvesting enabled sensing nodes: Prediction and control

Nouman Ashraf, Muhammad Faizan, Waqar Asif, Hassaan Khaliq Qureshi, Adnan Iqbal, Marios Lestas

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Energy efficient transmission rate regulation of wireless sensing nodes, is a critical issue when operating in an energy harvesting (EH) enabled environment. In this work, we view the energy management problem as a queue control problem where the objective is to regulate transmission such that the energy level converges to a reference value. We employ a validated non-linear queuing model to derive two non-linear robust throughput controllers. A notable feature of the proposed scheme is its capability of predicting harvest-able energy. The predictions are generated using the proposed Accurate Solar Irradiance prediction Model (ASIM) whose effectiveness in generating accurate both long and short term predictions is demonstrated using real world data. The stability of the proposed controllers is established analytically and the effectiveness of the proposed strategies is demonstrated using simulations conducted on the Network Simulator (NS-3). The proposed policy is successful in guiding the energy level to the reference value, and outperforms the Throughput Optimal (TO) policy in terms of the throughput achieved.

Original languageEnglish
Pages (from-to)104-117
Number of pages14
JournalJournal of Network and Computer Applications
Volume132
DOIs
Publication statusPublished - 15 Apr 2019
Externally publishedYes

Keywords

  • Energy harvesting
  • Energy management
  • Energy prediction
  • Internet of things
  • Markov chains
  • Non-linear control
  • Wireless sensor networks

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