PSO-NF based vertical handoff decision for ubiquitous heterogeneous wireless network(UHWN)

Nurjahan, Saoreen Rahman, Tanusree Sharma, S. M. Reza, M. M. Rahman, M. S. Kaiser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

In this paper, Hybrid of Particle Swarm Optimization (PSO) and Neuro-Fuzzy (NF) has been proposed for improving Vertical Hand-off (VHO) decision for the Ubiquitous Heterogeneous Wireless Network (UHWN). The mobile users have made VHO decision based on data-rate, dwelling time and service type, residue energy and network connection time. To reduce the computational complexity, the pre-decision of VHO is made based on preference of user and number of non-occupied channel. The main aim is the improvement of Quality of Service (QoS) of link and reduction of hand-off frequency. This method is able to reduce call blocking probability, hand-off latency and hand-off call dropping probability, improve the throughput and also balance the load of radio access technologies. The execution of the proposed system has been performed using NS 2 simulator. The numerical results of the proposed algorithm outperforms the state-of-the-art method.

Original languageEnglish (US)
Title of host publicationIWCI 2016 - 2016 International Workshop on Computational Intelligence
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages153-158
Number of pages6
ISBN (Electronic)9781509057689
DOIs
StatePublished - Feb 21 2017
Event2016 International Workshop on Computational Intelligence, IWCI 2016 - Dhaka, Bangladesh
Duration: Dec 12 2016Dec 13 2016

Publication series

NameIWCI 2016 - 2016 International Workshop on Computational Intelligence

Conference

Conference2016 International Workshop on Computational Intelligence, IWCI 2016
Country/TerritoryBangladesh
CityDhaka
Period12/12/1612/13/16

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Artificial Intelligence
  • Computer Networks and Communications

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