Principles of Wireless Networks: A Unified Approach
Principles of Wireless Networks: A Unified Approach
WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
A Survey of Context-Aware Mobile Computing Research
A Survey of Context-Aware Mobile Computing Research
Dynamic task-based anycasting in mobile ad hoc networks
Mobile Networks and Applications
AMUSE: An Agent-based Middleware for Context-aware Ubiquitous Services
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
Prototypes in Pervasive Computing
IEEE Pervasive Computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
International Journal of Ad Hoc and Ubiquitous Computing
Service-Oriented device anycasting using quality first search in wireless personal area network
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
Ubiquitous networks and their applications
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Research and implementation of the context-aware middleware for controlling home appliances
IEEE Transactions on Consumer Electronics
High-rate wireless personal area networks
IEEE Communications Magazine
Service discovery strategies in ubiquitous communication environments
IEEE Communications Magazine
Information-directed routing in ad hoc sensor networks
IEEE Journal on Selected Areas in Communications
QoS-aware service composition and adaptation in autonomic communication
IEEE Journal on Selected Areas in Communications
Semantics-based dynamic service composition
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Parallel and Distributed Systems
An effective cooperation mechanism among multi-devices in ubiquitous network
Proceedings of the 8th International Conference on Network and Service Management
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The vision of pervasive computing is to let users enjoy ICT-enabled services in an ''any time, anywhere, on any device'' manner. It aims to supply ubiquitous services through communications among a set of devices deployed in a ubiquitous environment. Due to the diverse QoS needs of different kinds of ubiquitous services and users, it is a critical challenge to select an optimal set of devices with the objective of achieving service-specific QoS goals like low packet loss, short packet delay, and high energy efficiency. In this paper, the problem is first formulated as the service-oriented device anycasting problem (SDAP) and then proved as an NP-complete problem. By adopting a tree-based service representation model, Basu et al. proposed the dynamic task-embedding anycasting (DTA) approach. This approach effectively solves the SDAP in a distributed way. However, the service quality is likely sacrificed because the tree scheme does not sufficiently describe a ubiquitous service. In this paper, we propose a novel approach called the service-oriented device anycasting (SDA) approach that adopts a graph-based service representation model called the service profile (SP). By introducing a layered structure into the SP, the SDA approach can reach a compromise between service quality and computational complexity. In addition, the QoS-driven utility function is proposed to quantify service quality by matching the capabilities of heterogeneous devices to various QoS needs. Finally, the simulation results show that the SDA approach outperforms the DTA approach by saving roughly 20% of device energy and prolonging the network lifetime. Packet loss and packet delay are also improved by roughly 25% and 8%, respectively. The advantage of the SDA approach is more obvious in environments with highly mobile devices and multiple users.