FUNNet: a novel biologically-inspired routing algorithm based on fungi

Xu Hao, Ruth E. Falconer, David A. Bradley, John W. Crawford

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2 Citations

Abstract

Future data communication networks show three emerging trends: increasing size of networks, increasing traffic volumes and dynamic network topologies. Efficient network management solutions are required that are scalable, can cope with large, and increasing, traffic volumes and provide decentralised and adaptive routing strategies that cope with the dynamics of the network topology. Routing strategies are an important aspect of network management as they have a significant influence on the overall network performance. This paper introduces the preliminary studies for FUNNet, a new routing algorithm inspired by the kingdom of Fungi. Fungi form robust, resilient and responsive networks and these networks change topology as a consequence of changes in local conditions. Fungi are capable of expanding in size as they self-regulate and optimise the balance between exploration and exploitation which is dependent on the transport of the internal resource, i.e. ‘traffic’, within the network. FUNNet exploits the biological processes that are responsible for simulating fungal networks in a bio-inspired routing protocol. The initial results are positive and suggest that fungal metaphors can improve network management, although further evaluation of more complex scenarios is required.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationthe Second International Conference on Communication Theory, Reliability, and Quality of Service: CTRQ 2009
EditorsEugen Borcoci, Joel Rodriques, Michel Diaz, Abdelhafid Abouaissa, Herve Boeglen
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages97-102
Number of pages6
ISBN (Electronic)9780769536965
ISBN (Print)9781424444236
DOIs
StatePublished - Jul 2009
EventSecond International Conference on Communication Theory, Reliability and Quality of Service - Colmar, France

Conference

ConferenceSecond International Conference on Communication Theory, Reliability and Quality of Service
Abbreviated titleCTRQ 2009
CountryFrance
CityColmar
Period20/07/0925/07/09

Fingerprint

Fungi
Network management
Topology
Routing algorithms
Network performance
Routing protocols
Telecommunication networks

Cite this

Hao, X., Falconer, R. E., Bradley, D. A., & Crawford, J. W. (2009). FUNNet: a novel biologically-inspired routing algorithm based on fungi. In E. Borcoci, J. Rodriques, M. Diaz, A. Abouaissa, & H. Boeglen (Eds.), Proceedings : the Second International Conference on Communication Theory, Reliability, and Quality of Service: CTRQ 2009 (pp. 97-102). Piscataway, NJ: IEEE . DOI: 10.1109/CTRQ.2009.23

Hao, Xu; Falconer, Ruth E.; Bradley, David A.; Crawford, John W. / FUNNet : a novel biologically-inspired routing algorithm based on fungi.

Proceedings : the Second International Conference on Communication Theory, Reliability, and Quality of Service: CTRQ 2009. ed. / Eugen Borcoci; Joel Rodriques; Michel Diaz; Abdelhafid Abouaissa; Herve Boeglen. Piscataway, NJ : IEEE , 2009. p. 97-102.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Hao, X, Falconer, RE, Bradley, DA & Crawford, JW 2009, FUNNet: a novel biologically-inspired routing algorithm based on fungi. in E Borcoci, J Rodriques, M Diaz, A Abouaissa & H Boeglen (eds), Proceedings : the Second International Conference on Communication Theory, Reliability, and Quality of Service: CTRQ 2009. IEEE , Piscataway, NJ, pp. 97-102, Second International Conference on Communication Theory, Reliability and Quality of Service, Colmar, France, 20-25 July. DOI: 10.1109/CTRQ.2009.23

FUNNet : a novel biologically-inspired routing algorithm based on fungi. / Hao, Xu; Falconer, Ruth E.; Bradley, David A.; Crawford, John W.

Proceedings : the Second International Conference on Communication Theory, Reliability, and Quality of Service: CTRQ 2009. ed. / Eugen Borcoci; Joel Rodriques; Michel Diaz; Abdelhafid Abouaissa; Herve Boeglen. Piscataway, NJ : IEEE , 2009. p. 97-102.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Bradley,David A.

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AB - Future data communication networks show three emerging trends: increasing size of networks, increasing traffic volumes and dynamic network topologies. Efficient network management solutions are required that are scalable, can cope with large, and increasing, traffic volumes and provide decentralised and adaptive routing strategies that cope with the dynamics of the network topology. Routing strategies are an important aspect of network management as they have a significant influence on the overall network performance. This paper introduces the preliminary studies for FUNNet, a new routing algorithm inspired by the kingdom of Fungi. Fungi form robust, resilient and responsive networks and these networks change topology as a consequence of changes in local conditions. Fungi are capable of expanding in size as they self-regulate and optimise the balance between exploration and exploitation which is dependent on the transport of the internal resource, i.e. ‘traffic’, within the network. FUNNet exploits the biological processes that are responsible for simulating fungal networks in a bio-inspired routing protocol. The initial results are positive and suggest that fungal metaphors can improve network management, although further evaluation of more complex scenarios is required.

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Hao X, Falconer RE, Bradley DA, Crawford JW. FUNNet: a novel biologically-inspired routing algorithm based on fungi. In Borcoci E, Rodriques J, Diaz M, Abouaissa A, Boeglen H, editors, Proceedings : the Second International Conference on Communication Theory, Reliability, and Quality of Service: CTRQ 2009. Piscataway, NJ: IEEE . 2009. p. 97-102. Available from, DOI: 10.1109/CTRQ.2009.23