Ad Hoc Networks. 9th International Conference, AdHocNets 2017, Niagara Falls, ON, Canada, September 28–29, 2017, Proceedings

Research Article

Fair Scheduling of Two-Hop Transmission with Energy Harvesting

  • @INPROCEEDINGS{10.1007/978-3-319-74439-1_17,
        author={Andrey Garnaev and Wade Trappe},
        title={Fair Scheduling of Two-Hop Transmission with Energy Harvesting},
        proceedings={Ad Hoc Networks. 9th International Conference, AdHocNets 2017, Niagara Falls, ON, Canada, September 28--29, 2017, Proceedings},
        proceedings_a={ADHOCNETS},
        year={2018},
        month={2},
        keywords={Adhocnets Energy harvesting Fairness Bargaining},
        doi={10.1007/978-3-319-74439-1_17}
    }
    
  • Andrey Garnaev
    Wade Trappe
    Year: 2018
    Fair Scheduling of Two-Hop Transmission with Energy Harvesting
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-319-74439-1_17
Andrey Garnaev,*, Wade Trappe1,*
  • 1: Rutgers University
*Contact email: garnaev@yahoo.com, trappe@winlab.rutgers.edu

Abstract

In this paper, we consider a two-hop network with a source node (SN) and a relay node (RN) who want to communicate data to a destination node (DN). The SN cannot be directly connected to the DN, but rather is connected only via the RN. The RN does not have an external source of energy, and thus needs to harvest energy from the SN to communicate, while the SN has an external source of energy and can harvest energy straight from it. Thus, a dilemma for the SN arises: how much to share harvested energy with the RN to make it relay the SN’s data to the DN. Fair performing of their communication tasks is considered as an incentive for the SN and the RN to cooperate. The optimal fair schedule is found for each . It is shown that an altruistic strategy for one of the nodes comes in as a part of the cooperative solution (corresponding ), while the maxmin strategy (corresponding tending to infinity) is proved to be egalitarian. Using Nash bargaining over the obtained continuum of fair solutions, we design a trade-off strategy.