MURAL - Maynooth University Research Archive Library



    A Decentralized Optimization Framework for Energy Harvesting Devices


    Biason, Alessandro and Dey, Subhrakanti and Zorzi, Michele (2018) A Decentralized Optimization Framework for Energy Harvesting Devices. IEEE Transactions on Mobile Computing, 17 (11). pp. 2483-2496. ISSN 1558-0660

    [img]
    Preview
    Download (955kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Designing decentralized policies for wireless communication networks is a crucial problem, which has only been partially solved in the literature so far. In this paper, we propose the Decentralized Markov Decision Process (Dec-MDP) framework to analyze a wireless sensor network with multiple users which access a common wireless channel. We consider devices with energy harvesting capabilities, so that they aim at balancing the energy arrivals with the data departures and with the probability of colliding with other nodes. Randomly over time, an access point triggers a SYNC slot, wherein it recomputes the optimal transmission parameters of the whole network, and distributes this information. Every node receives its own policy, which specifies how it should access the channel in the future, and, thereafter, proceeds in a fully decentralized fashion, without interacting with other entities in the network. We propose a multi-layer Markov model, where an external MDP manages the jumps between SYNC slots, and an internal Dec-MDP computes the optimal policy in the near future. We numerically show that, because of the harvesting, a fully orthogonal scheme (e.g., TDMA-like) is suboptimal in energy harvesting scenarios, and the optimal trade-off lies between an orthogonal and a random access system.

    Item Type: Article
    Keywords: Admission control; energy consumption; energy harvesting; energy management; Internet of Things; optimal scheduling; power control; telecommunications networks; wireless sensor networks;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 12699
    Identification Number: https://doi.org/10.1109/TMC.2018.2810269
    Depositing User: Subhrakanti Dey
    Date Deposited: 02 Apr 2020 11:04
    Journal or Publication Title: IEEE Transactions on Mobile Computing
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year