TY - GEN
T1 - PSO-NF based vertical handoff decision for ubiquitous heterogeneous wireless network(UHWN)
AU - Nurjahan,
AU - Rahman, Saoreen
AU - Sharma, Tanusree
AU - Reza, S. M.
AU - Rahman, M. M.
AU - Kaiser, M. S.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/21
Y1 - 2017/2/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85015844489&partnerID=8YFLogxK
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U2 - 10.1109/IWCI.2016.7860357
DO - 10.1109/IWCI.2016.7860357
M3 - Conference contribution
AN - SCOPUS:85015844489
T3 - IWCI 2016 - 2016 International Workshop on Computational Intelligence
SP - 153
EP - 158
BT - IWCI 2016 - 2016 International Workshop on Computational Intelligence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Workshop on Computational Intelligence, IWCI 2016
Y2 - 12 December 2016 through 13 December 2016
ER -