11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness

Research Article

An Optimal Replenishment Strategy in Energy Harvesting Wireless Networks with a Mobile Charger

Download582 downloads
  • @INPROCEEDINGS{10.4108/eai.19-8-2015.2260685,
        author={Rong Yu and Xumin Huang and Jiawen Kang and Chau Yuen and Alexey Vinel and Magnus Jonsson and Yan Zhang and Stein Gjessing},
        title={An Optimal Replenishment Strategy in Energy Harvesting Wireless Networks with a Mobile Charger},
        proceedings={11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness},
        publisher={IEEE},
        proceedings_a={QSHINE},
        year={2015},
        month={9},
        keywords={energy harvesting wireless network mobile charger energy replenishment stochastic inventory theory},
        doi={10.4108/eai.19-8-2015.2260685}
    }
    
  • Rong Yu
    Xumin Huang
    Jiawen Kang
    Chau Yuen
    Alexey Vinel
    Magnus Jonsson
    Yan Zhang
    Stein Gjessing
    Year: 2015
    An Optimal Replenishment Strategy in Energy Harvesting Wireless Networks with a Mobile Charger
    QSHINE
    IEEE
    DOI: 10.4108/eai.19-8-2015.2260685
Rong Yu1,*, Xumin Huang1, Jiawen Kang1, Chau Yuen2, Alexey Vinel3, Magnus Jonsson3, Yan Zhang4, Stein Gjessing4
  • 1: Guangdong University of Technology, China
  • 2: Singapore University of Technology and Design, Singapore
  • 3: Halmstad University, Sweden
  • 4: Simula Research Laboratory and University of Oslo, Oslo
*Contact email: yurong@gdut.edu.cn

Abstract

Energy harvesting wireless network is an emerging paradigm where the wireless nodes harvest energy to increase their lifetime. Due to high potential for a large variety of applications, such networks have drawn considerable attention in both industry and academia. In this paper, we consider the energy replenishment problem when the wireless nodes not only harvest energy from the ambient environment but also may receive energy from a mobile charger. We propose an optimal energy replenishment strategy using stochastic inventory theory to derive the optimal amount of energy supplied by the mobile charger. The simulation results show that our proposed scheme not only optimizes the energy utilization, but also improves the economic benefit of the wireless nodes.