• DocumentCode
    146485
  • Title

    Enhanced swarm intelligence-based scheduler to improve QoS for MANETs

  • Author

    Sharma, Parmanand ; Kumar, Ravindra

  • Author_Institution
    CSA, Thapar Univ., Patiala, India
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    340
  • Lastpage
    346
  • Abstract
    The collection of wireless mobile nodes is called Mobile Ad-Hoc Network (MANET) that makes a momentary network not using any centralized access points or centralized administration. For an efficient network formation, mobile nodes should be capable enough to utilize the available query resources. This can be achieved using process of queue scheduling. Scheduling is a way by which multiple threads and processes get access to system resources. Scheduling algorithms improves the quality by allocation of packets to queues. The routing is the movement of data and information over the internet from source to sink. Thus main goal here is to calculate the optimized path from source to destination for sending data. In this paper we used swarm intelligence to find the optimal path for flow of data and information. For scheduling the packets a scheduling algorithm based on weights is proposed.
  • Keywords
    mobile ad hoc networks; quality of service; swarm intelligence; Internet; MANET; QoS improvement; mobile ad-hoc network; momentary network; query resources; queue scheduling; swarm intelligence-based scheduler enhancement; wireless mobile nodes; Ad hoc networks; Algorithm design and analysis; Mobile computing; Protocols; Quality of service; Routing; Scheduling algorithms; Ant Colony Optimization (ACO); Bee Colony optimization (BCO); Swarm Intelligence; Weighted Fair Queue;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-4237-4
  • Type

    conf

  • DOI
    10.1109/CONFLUENCE.2014.6949267
  • Filename
    6949267