Data networks
Principles of Wireless Networks: A Unified Approach
Principles of Wireless Networks: A Unified Approach
Policy-Enabled Handoffs Across Heterogeneous Wireless Networks
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
An Adaptive Scheme for Vertical Handoff in Wireless Overlay Networks
ICPADS '04 Proceedings of the Parallel and Distributed Systems, Tenth International Conference
Vertical Handoff Performance in Heterogeneous Networks
ICPPW '04 Proceedings of the 2004 International Conference on Parallel Processing Workshops
OmniCon: A Mobile IP-Based Vertical Handoff System for Wireless LAN and GPRS Links
ICPPW '04 Proceedings of the 2004 International Conference on Parallel Processing Workshops
Improving TCP Performance during Soft Vertical Handoff
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
Vertical handoffs in fourth-generation multinetwork environments
IEEE Wireless Communications
SIP-based vertical handoff between WWANs and WLANs
IEEE Wireless Communications
Efficient mobility management for vertical handoff between WWAN and WLAN
IEEE Communications Magazine
Vertical handoffs as a radio resource management tool
Computer Communications
Middleware for multi-interfaces management through profiles handling
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
Adaptive handoff scheme for heterogeneous IP wireless networks
Computer Communications
Solving incertitude of vertical handovers in heterogeneous mobile wireless network
WICON '07 Proceedings of the 3rd international conference on Wireless internet
Automatic multi-interface management through profile handling
Mobile Networks and Applications
An intelligent handover management system for future generation wireless networks
EURASIP Journal on Wireless Communications and Networking - Intelligent Systems for Future Generation Wireless Networks
Radio access network selection in a heterogeneous communication environment
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Optimising radio access in a heterogeneous wireless network environment
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
SUTIL - Network selection based on utility function and integer linear programming
Computer Networks: The International Journal of Computer and Telecommunications Networking
Vertical handover techniques evaluation
NEHIPISIC'11 Proceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications, and 10th WSEAS international conference on signal processing, robotics and automation, and 3rd WSEAS international conference on nanotechnology, and 2nd WSEAS international conference on Plasma-fusion-nuclear physics
A Simple and Robust Vertical Handoff Algorithm for Heterogeneous Wireless Mobile Networks
Wireless Personal Communications: An International Journal
UDS: A Distributed RAT Selection Mechanism for Heterogeneous Wireless Networks
Wireless Personal Communications: An International Journal
Hi-index | 0.00 |
Future wireless networks must be able to coordinate services within a diverse-network environment. One of the challenging problems for coordination is vertical handoff, which is the decision for a mobile node to handoff between different types of networks. While traditional handoff is based on received signal strength comparisons, vertical handoff must evaluate additional factors, such as monetary cost, offered services, network conditions, and user preferences. In this paper, several optimizations are proposed for the execution of vertical handoff decision algorithms, with the goal of maximizing the quality of service experienced by each user. First, the concept of policy-based handoffs is discussed. Then, a multiservice vertical handoff decision algorithm (MUSE-VDA) and cost function are introduced to judge target networks based on a variety of user- and network-valued metrics. Finally, a performance analysis demonstrates that significant gains in the ability to satisfy user requests for multiple simultaneous services and a more efficient use of resources can be achieved from the MUSE-VDA optimizations.