Scalable multicasting: the core-assisted mesh protocol
Mobile Networks and Applications
Ambient Intelligence Visions and Achievements: Linking Abstract Ideas to Real-World Concepts
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
A Mobility Prediction Architecture Based on Contextual Knowledge and Spatial Conceptual Maps
IEEE Transactions on Mobile Computing
A Reliable Routing Algorithm Based on Fuzzy Applicability of F sets in MANET
PRDC '05 Proceedings of the 11th Pacific Rim International Symposium on Dependable Computing
Social network analysis for routing in disconnected delay-tolerant MANETs
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
A cluster based mobility prediction scheme for ad hoc networks
Ad Hoc Networks
Expert Systems with Applications: An International Journal
Enhancing Efficiency towards Handling Mobility Uncertainty in Mobile Ad-Hoc Network (MANET)
ICIT '08 Proceedings of the 2008 International Conference on Information Technology
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Ambient Intelligence (AmI) joins together the fields of ubiquitous computing and communications, context awareness, and intelligent user interfaces. Energy, fault-tolerance, andmobility are newly added dimensions of AmI.Within the context of AmI the concept ofmobile ad hoc networks (MANETs) for "anytime and anywhere" is likely to play larger roles in the future in which people are surrounded and supported by small context-aware, cooperative, and nonobtrusive devices that will aid our everyday life. The connection between knowledge generation and communication ad hoc networking is symbiotic--knowledge generation utilizes ad hoc networking to perform their communication needs, and MANETs will utilize the knowledge generation to enhance their network services. The contribution of the present study is a distributed evolving fuzzy modeling framework (EFMF) to observe and categorize relationships and activities in the user and application level and based on that social context to take intelligent decisions about MANETs service management. EFMF employs unsupervised online one-pass fuzzy clustering method to recognize nodes' mobility context from social scenario traces and ubiquitously learn "friends" and "strangers" indirectly and anonymously.