Ubiquitous Communications and Network Computing. First International Conference, UBICNET 2017, Bangalore, India, August 3-5, 2017, Proceedings

Research Article

Active Home Agent Load Balancing for Next Generation IP Mobility based Distributed Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-73423-1_15,
        author={Anshu Khatri and Senthilkumar Mathi},
        title={Active Home Agent Load Balancing for Next Generation IP Mobility based Distributed Networks},
        proceedings={Ubiquitous Communications and Network Computing. First International Conference, UBICNET 2017, Bangalore, India, August 3-5, 2017, Proceedings},
        proceedings_a={UBICNET},
        year={2018},
        month={1},
        keywords={IPv6 mobility Distributed load balancing Failure recovery Optimized routing},
        doi={10.1007/978-3-319-73423-1_15}
    }
    
  • Anshu Khatri
    Senthilkumar Mathi
    Year: 2018
    Active Home Agent Load Balancing for Next Generation IP Mobility based Distributed Networks
    UBICNET
    Springer
    DOI: 10.1007/978-3-319-73423-1_15
Anshu Khatri1,*, Senthilkumar Mathi1,*
  • 1: Amrita Vishwa Vidyapeetham
*Contact email: cb.en.p2cse16004@cb.students.amrita.edu, m_senthil@cb.amrita.edu

Abstract

Mobile IPv6 is the widely acknowledged technology that supports mobility in networks. A single home agent in the network suffers from the issue of single point of failure and consequently focuses on the deployment of multiple home agents in the network. The load sharing mechanism in most of the exiting methods is passive and centralized in approach. Moreover, the failure detection and recovery mechanism uses the concept of periodic messaging updates which results in signaling overhead. Hence, a new method of active load sharing that is distributed in nature is proposed in this paper. The proposed method contributes a load balancing mechanism at the registration time itself using the concept of preferred home agent. The paper investigates the existing methods and presents the comparative analysis with the proposed method. The advantages of our proposed load sharing are active and distributed approach, less signaling overhead and better throughput.