Effective management through prediction-based clustering approach in the next-generation ad hoc networks

S. Sivavakeesar, G. Pavlou, C. Bohoris, Antonio Liotta

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    14 Citations (Scopus)

    Abstract

    A framework for a proactive network management with the eventual aim to support quality of service (QoS) provisioning in ad hoc networks is proposed in this paper. This process is facilitated through our novel hierarchical clustering approach. This clustering approach is dynamic and distributed, and enables each mobile node (MN) to anticipate the availability of its neighbors through a scalable intelligent mobility prediction algorithm. With the formation of stable clusters, our clustering algorithm enables adaptability, autonomy, economy, scalability and survivability requirements in managing ad hoc networks by adopting policy-based management technique with mobile agent concepts. Initial results demonstrate the stability improvement of our approach.
    Original languageEnglish
    Title of host publicationProceedings 2004 IEEE International Conference on Communications (ICC 2004)
    Place of PublicationPiscataway
    PublisherInstitute of Electrical and Electronics Engineers
    Pages4326-4330
    Number of pages5
    ISBN (Print)0-7803-8533-0
    DOIs
    Publication statusPublished - 2004
    Event2004 IEEE International Conference on Communications - Paris, France
    Duration: 20 Jun 200424 Jun 2004

    Conference

    Conference2004 IEEE International Conference on Communications
    CountryFrance
    CityParis
    Period20/06/0424/06/04

    Fingerprint Dive into the research topics of 'Effective management through prediction-based clustering approach in the next-generation ad hoc networks'. Together they form a unique fingerprint.

    Cite this