Ant Colony Optimization
A Complex Systems Approach to Service Discovery
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Service Discovery in Pervasive Computing Environments
IEEE Pervasive Computing
Toward Distributed Service Discovery in Pervasive Computing Environments
IEEE Transactions on Mobile Computing
A Private, Secure, and User-Centric Information Exposure Model for Service Discovery Protocols
IEEE Transactions on Mobile Computing
Growth codes: maximizing sensor network data persistence
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
A comprehensive service discovery solution for mobile ad hoc networks
Mobile Networks and Applications
Service Discovery Protocol in Wireless Sensor Networks
SKG '06 Proceedings of the Second International Conference on Semantics, Knowledge, and Grid
Mobile Service Discovery Protocol (MSDP) for Mobile Ad-Hoc Networks
ISADS '07 Proceedings of the Eighth International Symposium on Autonomous Decentralized Systems
An energy-efficient ant-based routing algorithm for wireless sensor networks
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
A novel ant colony based qos-aware routing algorithm for MANETs
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Routing algorithms for wireless sensor networks using ant colony optimization
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Swarm intelligence supported e-remanufacturing
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
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In large-scale wireless sensor networks, efficient service discovery and data transmission mechanisms are both essential and challenging. Ant colony algorithm which has been used to resolve routing, localization and object tracing issues in mobile ad hoc and sensor networks provide a valuable solution for this problem. In this paper, we describe a novel scalable Action-based Service Discovery Protocol (ASDP) using ant colony algorithm in wireless sensor networks. ADSP can abstract the semantics information from the data via the nodes or user operation and map them into six different action sets. Then it adjusts the related parameters to satisfy with service and transmission requirements from different kinds of actions. We evaluate it against other approaches to identify its merits and limitations. The simulation results show that ASDP can maximize the network utilization. Farther experiments indicate it scales to large number of nodes.