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Cost analysis of mobility protocols

Published: 01 April 2013 Publication History

Abstract

Increasing demand for mobility in wireless data network has given rise to various mobility management schemes. Most of the analysis on mobility protocols used Random Waypoint mobility model However, the analysis done earlier ignored some major costs, resulting in an incomplete estimation and used random waypoint model which fails to represent realistic movement pattern. In this paper, we have developed an analytical cost model considering all possible costs related to mobility management, and have used city section mobility model, a realistic mobility model, to compute the total costs of two mobility protocols: HIMPv6 and SIGMA. We have defined two novel performance metrics, normalized overhead and efficiency, for mobility protocols based on the signaling costs and used them to evaluate the performance of SIGMA and HMIPv6 protocols varying network size, mobility rate and traffic rate. Results show that the total cost of SIGMA is much less than HMIPv6 due to the higher cost of packet tunneling, even though the mobility signaling cost of SIGMA is higher than HMIPv6. Moreover, mobility signaling costs of both the protocols using city model and random waypoint model are found to be much different, demonstrating the fact that random waypoint model cannot be used as an approximation to a realistic scenario. The analytical framework presented in this paper can be used by the network professionals to estimate amount of load on the network due to mobility protocols and compare them based on the proposed performance metrics to select the best protocol.

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  1. Cost analysis of mobility protocols

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    Published In

    cover image Telecommunications Systems
    Telecommunications Systems  Volume 52, Issue 4
    April 2013
    1001 pages

    Publisher

    Kluwer Academic Publishers

    United States

    Publication History

    Published: 01 April 2013

    Author Tags

    1. Analytical modeling
    2. Mobile IPv6
    3. Mobility model
    4. Mobility protocols
    5. Signaling cost

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    • (2022)Evolution and Adoption of Next Generation IoT-Driven Health Care 4.0 SystemsWireless Personal Communications: An International Journal10.1007/s11277-022-09932-3127:4(3533-3613)Online publication date: 1-Dec-2022
    • (2020)Fog Computing Architecture, Applications and Security IssuesInternational Journal of Fog Computing10.4018/IJFC.20200101053:1(75-105)Online publication date: 1-Jan-2020
    • (2019)Extension of MIH for FPMIPv6 (EMIH-FPMIPv6) to support optimized heterogeneous handoverFuture Generation Computer Systems10.1016/j.future.2019.03.03197:C(775-791)Online publication date: 1-Aug-2019
    • (2018)Performance analysis of mobility management architectures in cellular networksTelecommunications Systems10.1007/s11235-014-9957-559:2(211-227)Online publication date: 29-Dec-2018
    • (2017)Survey on fog computingJournal of Network and Computer Applications10.1016/j.jnca.2017.09.00298:C(27-42)Online publication date: 15-Nov-2017
    • (2017)Fast handover solution for network-based distributed mobility management in intelligent transportation systemsTelecommunications Systems10.1007/s11235-016-0178-y64:2(325-346)Online publication date: 1-Feb-2017
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