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A Fast Handoff Technique for Wireless Mobile Networks

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Distributed Computing and Internet Technology (ICDCIT 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11319))

Abstract

To maintain user quality in IEEE 802.11 networks could also be a troublesome issue, and conjointly the necessity for Multimedia Applications. To take care of the quality of the connections, these Multimedia applications want fast handoffs between Base Stations (BS). Previous work is based on maintaining a neighbor table by presently associated Access Point (AP) and scan delay. In this paper, we have made an attempt to propose a Neighboring approach where scan delay has been reduced to some zero by exploiting the MH neighbor table. It contains detailed knowledge of all the applications that unit at intervals. The MH neighbor table has been maintained by MH itself and its updated once each 0.5 s interval therefore it ensures the MH neighbor table contains details of exclusions that APs unit extremely neighbor of MH nonetheless as MH context knowledge has been transferred by presently associated AP to exclude that APs that’s at intervals, or we’ll recommend that APs that details have been sent by MH to presently associated AP. The result shows that this approach is better than all existing approaches as a result of it reduces scan delay to some zero and to boot reduces re-association delay, that the general handoff delay is unbelievably low for Multimedia Applications.

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Acknowledgement

This work is partially supported by ECRA from SERB, DST, GoI, India (Project Number: ECR/2015/000256/ES).

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Correspondence to Debasis Das .

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Das, D. (2019). A Fast Handoff Technique for Wireless Mobile Networks. In: Fahrnberger, G., Gopinathan, S., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2019. Lecture Notes in Computer Science(), vol 11319. Springer, Cham. https://doi.org/10.1007/978-3-030-05366-6_21

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  • DOI: https://doi.org/10.1007/978-3-030-05366-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05365-9

  • Online ISBN: 978-3-030-05366-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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