Agent Based Vertical Handoff Decision Algorithm for Heterogeneous Wireless Networks

Saboji, Shivakumar V.; Bevinakoppa, Savitri; Akki, C. B.

doi:10.2174/2215081104666150318235440

Cited by 1 publication

(1 citation statement)

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“…In addition, when the seamless handoff server makes chooses the network access technology based on quality of service and throughput , it is known as vertical handoff. Such a system provides seamless coverage ; the typical network handover latency is (a few) hundred milliseconds with minimal bandwidth overhead and power consumption [12]. The following must be considered for a vertical handover to occur:…”

Section: Vertical Handovermentioning

confidence: 99%

Handoff Decisions in Hetnets using Fuzzy Logic and Machine Learning Techniques

Mahajan,

Prof. Zaheeruddin

2019

IJEAT

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Handover is a vital part of any wireless Mobile Communication Network. Efficient handover algorithms provide a gain in monetary cost effective method for enhancement in the capacity and QOS(quality of services) of cellular system. The work reported here presents a handover decision support system for wireless heterogenous communication. Fuzzy inference system along with neural network techniques in Matlab has been used for the development of the system.Results for performance of five different neural network techniques have been drawn on basis of their training time,classification accuracy and number of neurons taken. The neural tools used here are Back propagation, Radial Basis Function, Nave Bayes, Bayes net and C4.5 decision tree. On the basis of their performance, a best neural tool has been selected for the use in making handover decisions in wireless communication systems and it is seen that among all the neural network tools C 4.5 decision tree gives the better results in terms of classification accuracy and training time for handover decisions

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Section: Vertical Handovermentioning

confidence: 99%