Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Analysis of the Relationship between QoS and SNR for an 802.11g WLAN
CTRQ '08 Proceedings of the 2008 International Conference on Communication Theory, Reliability, and Quality of Service
Multicast Voice Transmission over Vehicular Ad Hoc Networks: Issues and Challenges
ICN '08 Proceedings of the Seventh International Conference on Networking
A Seamless Vertical Handover Approach
Wireless Systems and Mobility in Next Generation Internet
VoIP: A comprehensive survey on a promising technology
Computer Networks: The International Journal of Computer and Telecommunications Networking
CWNA Certified Wireless Network Administrator Official Study Guide (Exam PW0-100), Fourth Edition
CWNA Certified Wireless Network Administrator Official Study Guide (Exam PW0-100), Fourth Edition
UMTS Networks and Beyond
Network mobility protocol for vehicular ad hoc networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
An analytical evaluation of mobility management in integrated WLAN-UMTS networks
Computers and Electrical Engineering
A multi-criteria receiver-side relay election approach in wireless ad hoc networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Vehicle assisted cross-layer handover scheme in NEMO-based VANETs (VANEMO)
International Journal of Internet Protocol Technology
Architecture for mobility and QoS support in all-IP wireless networks
IEEE Journal on Selected Areas in Communications
Beaconing Approaches in Vehicular Ad Hoc Networks: A Survey
Wireless Personal Communications: An International Journal
Advances on Network Protocols and Algorithms for Vehicular Ad Hoc Networks
Mobile Networks and Applications
Hi-index | 0.00 |
In heterogeneous vehicular networks, the most challenging issue is obtaining an efficient vertical handover during the vehicle roaming process. Efficient network selection process can achieve satisfactory Quality-of-Service for ongoing applications. In this paper, we propose an Intelligent Network Selection (INS) scheme based on maximization scoring function to efficiently rank available wireless network candidates. Three input parameters were utilized to develop a maximization scoring function that collected data from each network candidate during the selection process. These parameters are: Faded Signal-to-Noise Ratio, Residual Channel Capacity, and Connection Life Time. The results show that the proposed INS scheme is more efficient at decreasing handover delays, End-to-End delays for VoIP and Video applications, packet loss ratios as well as increasing the efficiency of network selection processes in comparison with the state of the arts.