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Network management of cognitive radio ad hoc networks

Published: 26 October 2011 Publication History

Abstract

In this paper, we examine the problem of network management for cognitive radio ad hoc networks. (CRAHNs). A cognitive radio (CR) is an intelligent wireless communications device based on software defined radio that is aware of its environment and can adapt to variations to its inputs. Cognitive radio ad hoc networks are distinguished from other wireless networks by their distributed multi-hop architecture and dynamic spectrum access, which introduce many challenges in managing such networks. Whereas traditional network management systems typically monitor and report certain network parameters for potential operator intervention, the Cognitive Network Management Protocol (CNMP) is proposed to provide a framework to acquire, predict, verify and autonomously act on network information to essentially learn and respond to network behavior to meet Quality of Service commitments and user-specific needs within CRAHNs. In this paper, a literature review is given where we describe the areas of classic network management and how the management of CR ad hoc networks is different from the traditional management areas for wireline/wireless networks. The three basic management architecture types are then outlined and the discussion proceeds to overview several relevant network management protocols. Then the proposed framework of cognitive radio network management is introduced and discussed.

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Cited By

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  • (2018)Spectrum inpaintingWireless Networks10.1007/s11276-013-0614-920:3(423-439)Online publication date: 29-Dec-2018
  • (2017)Network management issues in military Cognitive Radio Networks2017 International Conference on Military Communications and Information Systems (ICMCIS)10.1109/ICMCIS.2017.7956487(1-6)Online publication date: May-2017
  • (2014)Kitsune: A management system for cognitive radio networks based on spectrum sensing2014 IEEE Network Operations and Management Symposium (NOMS)10.1109/NOMS.2014.6838316(1-9)Online publication date: May-2014
  • Show More Cited By

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    cover image ACM Other conferences
    CogART '11: Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
    October 2011
    372 pages
    ISBN:9781450309127
    DOI:10.1145/2093256
    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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    • Universitat Pompeu Fabra
    • IEEE
    • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
    • River Publishers: River Publishers
    • CTTC: Technological Center for Telecommunications of Catalonia
    • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 October 2011

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    1. cognitive radio ad hoc network
    2. network management

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    Cited By

    View all
    • (2018)Spectrum inpaintingWireless Networks10.1007/s11276-013-0614-920:3(423-439)Online publication date: 29-Dec-2018
    • (2017)Network management issues in military Cognitive Radio Networks2017 International Conference on Military Communications and Information Systems (ICMCIS)10.1109/ICMCIS.2017.7956487(1-6)Online publication date: May-2017
    • (2014)Kitsune: A management system for cognitive radio networks based on spectrum sensing2014 IEEE Network Operations and Management Symposium (NOMS)10.1109/NOMS.2014.6838316(1-9)Online publication date: May-2014
    • (2013)Management of cognitive radio ad hoc networks using a congestion‐based metricInternational Journal of Network Management10.1002/nem.183523:5(325-349)Online publication date: 23-Aug-2013

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