Paper Info
Title
VoIP Call Optimization in Diverse Network Scenarios Using Learning Based State-Space Search Technique
Abstract
A VoIP based call has stringent QoS requirements with respect to delay, jitter, loss, MOS and R-Factor. Various QoS mechanisms implemented to satisfy these requirements must be adaptive under diverse network scenarios and applied in proper sequence, otherwise they may conflict with each other. The objective of this paper is to address the problem of adaptive QoS maintenance and sequential execution of available QoS implementation mechanisms with respect to VoIP under varying network conditions. In this paper, we generalize this problem as state-space problem and solve it. Firstly, we map the problem of QoS optimization into state-space domain and apply incremental heuristic search. We implement the proposed algorithm under various network and user scenarios in a VoIP test-bed for QoS enhancement. Then learning strategy is implemented for refinement of knowledge base to improve the performance of call quality over time. Finally, we discuss the advantages and uniqueness of our approach.
Year
Venue
Field
2011
International Journal of Wireless & Mobile Networks
Incremental heuristic search,Computer science,Quality of service,Computer network,Adaptive quality of service multi-hop routing,State space search,Scenario,Knowledge base,Jitter,Voice over IP,Distributed computing
DocType
Volume
ISSN
Journal
abs/1111.4036
International Journal of Wireless & Mobile Networks (IJWMN) Vol. 3, No. 5, 2011, 211-228
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Tamal Chakraborty1102.98
Atri Mukhopadhyay2113.80
Iti Saha Misra37519.05
Salil Kumar Sanyal4558.60