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IQ-Hopping: distributed oblivious channel selection for wireless networks

Published: 05 July 2016 Publication History

Abstract

Interference in WiFi deployments is a growing problem due to the increasing popularity of WiFi. Therefore it is important that APs find the right channel to operate upon. Through a large scale measurement study involving over 10,000 WiFi APs we show that channel measurements and selection are most effective when performed frequently (every few minutes). This is because of the highly dynamic nature of WiFi traffic congestion. Our key contribution in this paper is a novel approach to distributed channel selection -- Ineffective time Quantum (IQ) Hopping, that is simple enough to be described in three lines and has provable optimality guarantees. IQ-Hopping does not require any explicit channel measurements and can react within a matter of several seconds to bad channel conditions, including microwave ovens, hidden interferers, or dynamically varying congestion. Through implementation and experiments on off-the-shelf WiFi routers (OpenWRT, MadWiFi), we demonstrate the effectiveness of IQ-Hopping.

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  • (2023)Channel Selection in Uncoordinated IEEE 802.11 Networks Using Graph ColoringSensors10.3390/s2313593223:13(5932)Online publication date: 26-Jun-2023
  • (2023)Inducing Lattices in Non-Lattice-Linear Problems2023 42nd International Symposium on Reliable Distributed Systems (SRDS)10.1109/SRDS60354.2023.00031(232-242)Online publication date: 25-Sep-2023
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cover image ACM Conferences
MobiHoc '16: Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing
July 2016
421 pages
ISBN:9781450341844
DOI:10.1145/2942358
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: 05 July 2016

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Cited By

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  • (2023)Channel Selection in Uncoordinated IEEE 802.11 Networks Using Graph ColoringSensors10.3390/s2313593223:13(5932)Online publication date: 26-Jun-2023
  • (2023)Inducing Lattices in Non-Lattice-Linear Problems2023 42nd International Symposium on Reliable Distributed Systems (SRDS)10.1109/SRDS60354.2023.00031(232-242)Online publication date: 25-Sep-2023
  • (2023)Eventually Lattice-Linear AlgorithmsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2023.104802(104802)Online publication date: Dec-2023
  • (2021)AI-Aided Channel Quality Assessment for Bluetooth Adaptive Frequency Hopping2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)10.1109/PIMRC50174.2021.9569405(934-939)Online publication date: 13-Sep-2021
  • (2020)A Cluster-Based Channel Assignment Technique in IEEE 802.11 NetworksTelecom10.3390/telecom10300161:3(228-241)Online publication date: 30-Nov-2020
  • (2020)Coloring-Based Channel Allocation for Multiple Coexisting Wireless Body Area Networks: A Game-Theoretic ApproachIEEE Transactions on Mobile Computing10.1109/TMC.2020.3002898(1-1)Online publication date: 2020
  • (2018)On the Goodness of Using Orthogonal Channels in WLAN IEEE 802.11 in Realistic ScenariosWireless Communications and Mobile Computing10.1155/2018/57427122018(1-11)Online publication date: 22-Nov-2018
  • (2017)Towards unlicensed cellular networks in TV white spacesProceedings of the 13th International Conference on emerging Networking EXperiments and Technologies10.1145/3143361.3143367(2-14)Online publication date: 28-Nov-2017
  • (2017)Measurement-based, practical techniques to improve 802.11ac performanceProceedings of the 2017 Internet Measurement Conference10.1145/3131365.3131398(205-219)Online publication date: 1-Nov-2017
  • (2017)A dynamic and autonomous channel selection strategy for interference avoidance in 802.112017 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS)10.1109/WONS.2017.7888756(1-8)Online publication date: Mar-2017

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