MobiCom poster: Anamika: distributed service composition architecture for pervasive environments
ACM SIGMOBILE Mobile Computing and Communications Review
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Scalable Service Discovery for MANET
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Understanding failure response in service discovery systems
Journal of Systems and Software
Dynamic Service Composition in Pervasive Computing
IEEE Transactions on Parallel and Distributed Systems
A Trust Based Methodology for Web Service Selection
ICSC '07 Proceedings of the International Conference on Semantic Computing
Private and Secure Service Discovery via Progressive and Probabilistic Exposure
IEEE Transactions on Parallel and Distributed Systems
Journal of Systems and Software
Easy web service discovery: A query-by-example approach
Science of Computer Programming
Expert Systems with Applications: An International Journal
A trust-based secure service discovery (TSSD) model for pervasive computing
Computer Communications
SARA: A service architecture for resource aware ubiquitous environments
Pervasive and Mobile Computing
An extension of the Promethee II method based on generalized fuzzy numbers
Expert Systems with Applications: An International Journal
Study of similar motion imitation of stepping upstairs for humanoid robot
International Journal of Computing Science and Mathematics
DDoS mitigation in content distribution networks
International Journal of Wireless and Mobile Computing
A concurrent constraint and pi-calculus-based language for service contracting
International Journal of Wireless and Mobile Computing
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Pervasive computing enables the user to connect to the network and receive any service anywhere any time. The problem of satisfying the user's request as per their requirements is a vital process. There can be many service providers providing the service with the same functionality. Providing the appropriate service as required by the user mainly consists of two steps: a discovering a set of feasible services, b selecting an appropriate service from the set of feasible services. Selecting an appropriate service is a multi-criteria decision making problem since many criteria such as availability, mobility, cost, reliability, capability, trust, and responsiveness influence the selection of the service. In this paper, an efficient service selection framework for pervasive environment is proposed adopting PROMETHEE methodology. Theoretical analysis on overhead and experimental analysis has been performed on the proposed framework. The results show that the proposed framework is efficient.