Location-aided routing (LAR) in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Distributed and Parallel Databases
A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Service Selection Algorithms for Web Services with End-to-End QoS Constraints
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
A Framework and Ontology for Dynamic Web Services Selection
IEEE Internet Computing
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Policy-based model-driven engineering of pervasive services and the associated OSS
BT Technology Journal
Spidernet: a quality-aware service composition middleware
Spidernet: a quality-aware service composition middleware
Adaptive Service Composition in Flexible Processes
IEEE Transactions on Software Engineering
An effective offloading middleware for pervasive services on mobile devices
Pervasive and Mobile Computing
Ontology-Based Service Representation and Selection
IEEE Transactions on Knowledge and Data Engineering
Distributed multimedia service composition with statistical QoS assurances
IEEE Transactions on Multimedia
QoS issues in ad hoc wireless networks
IEEE Communications Magazine
Position-based routing in ad hoc networks
IEEE Communications Magazine
Model-based service discovery for next-generation mobile systems
IEEE Communications Magazine
Cross-layer scheduling with prescribed QoS guarantees in adaptive wireless networks
IEEE Journal on Selected Areas in Communications
Capacity and load-aware service discovery with service selection in peer-to-peer grids
Future Generation Computer Systems
A multi-criteria network-aware service composition algorithm in wireless environments
Computer Communications
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The successful application of pervasive services running in mobile wireless networks and devices relies on its ability to provide efficient and cost-effective QoS (Quality of Service) support. This paper proposes a comprehensive QoS model specifically for pervasive services. It considers not only user-perceived factors but also mobile wireless network characteristics. The corresponding formula to calculate each QoS criterion is also devised. In particular, this paper formulates the QoS-aware service selection problem for pervasive service composition and proposes some solutions to the problem, i.e., global-search-based LOSSA (local optimal service selection algorithm) and limited broadcast based LOSSA-k. The evaluation results of the algorithms have shown the effectiveness of the QoS model and the efficiency of the proposed LOSSAs.