• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Journal Articles
    • Faculty of Science & Technology (FST)
    • View Item
    •   UoN Digital Repository Home
    • Journal Articles
    • Faculty of Science & Technology (FST)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    An efficient agent-based wireless communication model

    Thumbnail
    Date
    2003
    Author
    Okuku, Bernard O
    Opiyo, Elisha T O
    Type
    Article
    Language
    en
    Metadata
    Show full item record

    Abstract
    A wireless communication system is a distributed network of semi-autonomous processing nodes that work together to solve a single problem [5]. Cellular radio provides mobile phone service by employing a network of cell sites distributed over a wide area. The mobile phone network communication is a problem well suited to an agent based system consisting of a set of interdependent sub problems that arise because of spatial, temporal and functional distribution of data, knowledge and processing capabilities. This research developed the knowledge and reasoning that a loosely coupled network of sophisticated nodes in the mobile phone network needs to cooperate effectively in solving a complex and distributed problem. The wireless network being a typical CDPS application area include distributed interpretation, distributed planning and control, cooperating expert systems and computer supported human cooperation. The existing model has a centralized control facility and is prone to failure. We present a model that involves decentralization of the control facilities. This illustrates how the CDPS strategies and approaches such as cooperation, coordination and negotiation are applicable in the mobile phone networks and the criteria used in choosing the nodes that serve the caller. Nodes are chosen on the basis of their signal strengths and only the node with the strongest signal serves the caller. The agent based approach emphasizes on the ability of the agents to interact leading to a more efficient system hence improved performance.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10533
    Publisher
    School of Computing and Informatics
    Subject
    Agents
    Multi-Agent System
    Intelligence
    Problem Solving, Mobile Communications
    Mobile Telecommunications Switching Office
    Base station
    Contract net
    cell
    Self Organisation Map (SOM)
    Collections
    • Faculty of Science & Technology (FST) [4284]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback