Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A Spatial Model Based on the Notions of Spatial Conceptual Map and of Object's Influence Areas
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Efficient multi-agent path planning
Proceedings of the Eurographic workshop on Computer animation and simulation
Real-time Path Planning for Navigation in Unknown Environment
TPCG '03 Proceedings of the Theory and Practice of Computer Graphics 2003
Policy-Enabled Handoffs Across Heterogeneous Wireless Networks
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Fairness and load balancing in wireless LANs using association control
Proceedings of the 10th annual international conference on Mobile computing and networking
Wireless Communications & Mobile Computing - Special Issue: WLAN/3G Integration for Next-Generation Heterogeneous Mobile Data Networks
A Mobility Prediction Architecture Based on Contextual Knowledge and Spatial Conceptual Maps
IEEE Transactions on Mobile Computing
Orion: P2P-based Inter-Space Context Discovery Platform
MOBIQUITOUS '05 Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
An Improved Genetic Algorithm of Optimum Path Planning for Mobile Robots
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
Location Fingerprinting In A Decorrelated Space
IEEE Transactions on Knowledge and Data Engineering
Context-Aware Path Planning in Ubiquitous Network
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
An Open Framework for Distributed Context Management in Ubiquitous Environment
UIC-ATC '09 Proceedings of the 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing
The computer for the 21st Century
IEEE Pervasive Computing
Vertical handoffs in fourth-generation multinetwork environments
IEEE Wireless Communications
Automated network selection in a heterogeneous wireless network environment
IEEE Network: The Magazine of Global Internetworking
Context-awareness handoff planning in heterogeneous wireless networks
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
IKEv2 authentication exchange model and performance analysis in mobile IPv6 networks
Personal and Ubiquitous Computing
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Ubiquitous computing is aiming at providing users with intelligent human-centric context-aware services at anytime anywhere. However, mobility increases dynamism and uncertainty conditions. This study therefore explores the management and uses of various contexts for automatically providing appropriate services to individual users. This issue is explored from an open framework perspective referred to as ubiquitous gate (U-gate). In this framework, a distributed context management architecture and a communication model based on standard protocols are proposed. To fit user requirements and to achieve complete mobility management, a context-aware path planning mechanism (UbiPaPaGo) and a context-aware handoff mechanism (UbiHandoff) are proposed based on context stored in an open and distributed context management server U-gate. Based on the path planning results of UbiPaPaGo, UbiHandoff derives a minimum access point (AP) handoff plan that satisfies multiple QoS requirements for individual users and services. The UbiHandoff mechanism includes multiple-attribute decision making method (MADM)---based handoff planning, referred to as MADM-based UbiHandoff, and genetic algorithm (GA)---based handoff planning, referred to as GA-based UbiHandoff. In the proposed MADM-based UbiHandoff, analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) provide efficient and seamless AP handoff to gain higher QoS performance. In GA-based UbiHandoff, genetic algorithm is employed to minimize handoff by finding appropriate APs along the path under QoS constraints. Finally, the effectiveness of the proposed mechanisms is evaluated through simulations. Numerical results demonstrate that both mechanisms minimize handoffs and ensure compliance with QoS requirements.