Signal threshold adaptation for vertical handoff in heterogeneous wireless networks
Mobile Networks and Applications
Enabling intelligent handovers in heterogeneous wireless networks
Mobile Networks and Applications
A Cross-Layer (Layer 2 + 3) Handoff Management Protocol for Next-Generation Wireless Systems
IEEE Transactions on Mobile Computing
Adaptive Vertical Mobility Decision in Heterogeneous Networks
ICWMC '07 Proceedings of the Third International Conference on Wireless and Mobile Communications
Multiservice vertical handoff decision algorithms
EURASIP Journal on Wireless Communications and Networking
User's Profile-Driven Resource Reservation for WiMAX Networks
WIMOB '08 Proceedings of the 2008 IEEE International Conference on Wireless & Mobile Computing, Networking & Communication
IEEE Wireless Communications
Vertical handoffs in fourth-generation multinetwork environments
IEEE Wireless Communications
A ubiquitous mobile communication architecture for next-generation heterogeneous wireless systems
IEEE Communications Magazine
NGN architecture: generic principles, functional architecture, and implementation
IEEE Communications Magazine
Mobile Networks and Applications
Integer linear programming optimization of joint RRM policies for heterogeneous wireless systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
Towards utility-based resource management in heterogeneous wireless networks
Proceedings of the seventh ACM international workshop on Mobility in the evolving internet architecture
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This work presents SUTIL, a mechanism for network selection in the context of next generation networks (NGN). SUTIL selection mechanism prioritizes networks with higher relevance to the application and lower energy consumption and it enables full and seamless connectivity to mobile user devices and applications. Consequently, SUTIL contributes to realize the vision of ubiquitous computing, in which services, devices, and sensor-enriched environments interact anytime, anywhere to accomplish human designed tasks. The provided solution is based on utility function and integer linear programming and it aims at: (i) maximizing the user satisfaction while meeting application QoS and (ii) minimizing the energy consumption of devices when connecting to a target network. The solution is global since it considers for a given base station all devices that are simultaneously candidate for handoff. Simulation results showed the benefits of SUTIL usage in NGN environments.