Using taxonomies for content-based routing with ants
Computer Networks: The International Journal of Computer and Telecommunications Networking
Self-organization for search in peer-to-peer networks: the exploitation-exploration dilemma
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
A path-traceable query routing mechanism for search in unstructured peer-to-peer networks
Journal of Network and Computer Applications
Elephants journey towards successful resource discovery in unstructured P2P networks
IMSAA'09 Proceedings of the 3rd IEEE international conference on Internet multimedia services architecture and applications
LESSON: A system for lecture notes searching and sharing over Internet
Journal of Systems and Software
Expert Systems with Applications: An International Journal
Enhancing Routing Robustness of Unstructured Peer-to-Peer Networks Using Mobile Agents
Journal of Network and Systems Management
A deniable and efficient question and answer service over ad hoc social networks
Information Retrieval
MaGate: An Interoperable, Decentralized and Modular High-Level Grid Scheduler
International Journal of Distributed Systems and Technologies
Proceedings of the First International Conference on Security of Internet of Things
On the performance of ACO-based methods in p2p resource discovery
Applied Soft Computing
Enhancing decentralized service discovery in open service-oriented multi-agent systems
Autonomous Agents and Multi-Agent Systems
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Although the ant metaphor has been successfully applied to routing of data packets both in wireless and fixed networks, little is yet known about its applicability to the task of query routing in peer-to-peer environments. This work presents SemAnt, an algorithm for distributed query routing based on the Ant Colony Optimization meta-heuristic. The experimental results show that the algorithm produces robust results and converges fast. Based on the results gained so far, the goal for the Ph.D. thesis is to extend the algorithm to include strategies for self-adaptation to volatile networks where nodes may leave or join at any time.