A Novel Approach to Reduce Handoff failure probability in Next Generation Wireless Networks (NGWS)
Utpal Ghosh1, Debabrata Sarddar2
1Utpal Ghosh, Assistant Professor, Department of Computer and Engineering, University of Kalyani, Nadia (West Bengal), India.
2Debabrata Sarddar, M. Tech., Department of Computer Science and Engineering, University of Kalyani, Kalyani, Nadia (West Bengal), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 927-932 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7031068519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper we contribute a technique minimizing handoff failure probability using offered technology, while not compromising bandwidth efficiency significantly, by altering and streamlining the practicality and task division of the modern handoff technique. this may end in fewer call failures and in congestion-free networks.Here we have a tendency to apply another base station to the common overlapping area of old base station (OBS) and new base station (NBS). during this intermediate base station(IBS) we conjointly install a checker machine that checks whether or not the signal of a cell is being immediately initiating handoff,or it need to wait within the intermediate base station. Although, the IBS is not terribly high battery-powered,but it has the identical capability to occupy same number of channels as the OBS and NBS. So,there are the number of available free channels are raised .The simulation depicts that our evaluated proposal will solve the matter of call drop and helps to decreasing handoff failure chance.
Keywords: Next Generation Wireless Communication, Handoff, Handoff Failure Probability, Channel Distribution, Pre-Active Scanning Scheme, Selective Channel Scan Technique.
Scope of the Article: Wireless Network