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ROPS: Recursively Optimized Prepartitioning Strategy to allocate Key Devices Positions in Large-Scale RF Mesh Networks

Published: 16 November 2020 Publication History

Abstract

RF-Mesh networks have been extensively used for the deployment of smart grid communications and large-scale implementations of them are expected to continue growing. As a RF-Mesh network grows, latency becomes a concern and interconnection devices are inserted to increase coverage, performance and resiliency. The optimal position of the interconnection devices and collectors represents a NP-hard problem whose solution is approximated by heuristic and computationally expensive solutions. This paper presents a recursive partitioning approach to positioning key devices in large-scale wireless mesh networks that significantly reduces the computational demand of an existing positioning algorithm. Theoretical analysis of performance improvement, along with results of extensive simulations using a publicly available dataset, demonstrate that the proposed approach can improve the execution time of the original algorithm up to 20 times without affecting important QoS parameters.

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Cited By

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  • (2023)Exploring the potential, limitations, and future directions of wireless technologies in smart grid networks: A comparative analysisComputer Networks10.1016/j.comnet.2023.109956235(109956)Online publication date: Nov-2023
  • (2022)How does the Selection of Wireless Technology Impact the Performance of the Smart Grid? A Simulation ApproachProceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks10.1145/3551663.3558673(67-74)Online publication date: 24-Oct-2022

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    cover image ACM Conferences
    PE-WASUN '20: Proceedings of the 17th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks
    November 2020
    107 pages
    ISBN:9781450381185
    DOI:10.1145/3416011
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 16 November 2020

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    Author Tags

    1. RF mesh networks
    2. clustering
    3. prepartitioning strategy

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    • (2023)Exploring the potential, limitations, and future directions of wireless technologies in smart grid networks: A comparative analysisComputer Networks10.1016/j.comnet.2023.109956235(109956)Online publication date: Nov-2023
    • (2022)How does the Selection of Wireless Technology Impact the Performance of the Smart Grid? A Simulation ApproachProceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks10.1145/3551663.3558673(67-74)Online publication date: 24-Oct-2022

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