This paper investigates the delay performance of a battery-assisted (BA) multi-hop cluster-based network assuming that each hop consists of multiple relays. At each hop, all the nodes harvest energy from the power beacon utilizing the time-switching (TS) energy harvesting (EH) protocol, and augment it with limited energy from a battery in a battery-assisted EH framework. Note that such BA EH nodes are immediately realizable and can prolong battery lifetimes. For efficient relay's battery utilization, the relay with successful decoding status and the largest amount of the harvested energy is selected for forwarding the information in each hop. The symbols are retransmitted after energy harvesting if an acknowledgment is not received from at least one node in the next hop. Considering saturation-based nonlinear EH, an expression is derived for the average delay performance. We then demonstrate that the average delay can be minimized by optimal selection of the TS parameter. Our results also demonstrate that augmenting the harvested energy with a small amount of battery energy dramatically improves the average delay performance. In view of the explosion in number of machine-type devices (MTDs) in recent times, such analysis is of immense practical importance. Monte Carlo simulations validate accuracy of the derived expressions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Delay Performance of a Multi-Hop Relay Network with Battery-Assisted Energy Harvesting Nodes


    Contributors:


    Publication date :

    2024-06-24


    Size :

    432428 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    ENERGY HARVESTING SENSING NODES

    KHOCHE AJAY / VOLKERINK ERIK | European Patent Office | 2019

    Free access


    Deep Learning Aided Power Allocation in An Energy Harvesting Untrusted Relay Network

    Qin, Qiannan / Yao, Rugui / Zhang, Yuxin et al. | IEEE | 2020