Analysis of Handover Schemes: A Virtual Connection Tree (VCT) Based Wireless Asynchronous Transfer Mode (WATM) Network Approach

Rashid, Syed Zahidur

ISBN 10: 3659270202 / ISBN 13: 9783659270208

Published by LAP LAMBERT Academic Publishing, 2013

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Bibliographic Details

• Title: Analysis of Handover Schemes: A Virtual Connection Tree (VCT) Based Wireless Asynchronous Transfer Mode (WATM) Network Approach
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 3659270202
• ISBN 13: 9783659270208
• Binding: paperback
• Condition: New
• Book Type: book

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Synopsis

Emerging multimedia applications are generating a demand for public networks to be able to multiplex and switch simultaneously a wide spectrum of data rates. Traffic control and resource management are complex issues in wireless asynchronous transfer mode (WATM) due to broad range quality-of-services (QoS) and limited bandwidth spectrum. In WATM, traffic control is essential in order to protect the network from congestion and to achieve realistic network efficiency in compliance with the QoS. Exchanging access point to the backbone network is thereby common and this may contribute to connection rejections when channels are busy. The effect to QoS at call level is the high probability of handover dropping if the targeted call site has no available channels. The main objective of this book is the performance analysis of handover schemes in WATM with virtual connection tree (VCT) that can give high QoS performance in terms of probability of new call block and handover call dropping. Hence, an improvement had been made and it is called With Queuing and Reserved Channels (WQRC). Using WQRC, low probability of handover dropping is maintained and new call blocking probability is reduced.

About the Author

He is working as a lecturer in the Department of ETE, International Islamic University Chittagong (IIUC), Bangladesh. He obtained B.Sc.Engg. in Computer and Communication Engineering from IIUC in 2009. His research interests are Digital Signal Processing, Wireless Communications, Artificial Intelligence, Knowledge Discovery and Machine Learning.