Communications of the ACM
Seven good reasons for mobile agents
Communications of the ACM
Mobile agents and the future of the internet
ACM SIGOPS Operating Systems Review
Journal of the ACM (JACM)
Dominating Sets and Neighbor Elimination-Based Broadcasting Algorithms in Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Programming and Deploying Java Mobile Agents Aglets
Programming and Deploying Java Mobile Agents Aglets
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Static and dynamic approaches to modeling end-to-end routing in circuit-switched networks
IEEE/ACM Transactions on Networking (TON)
The effects of badly behaved routers on Internet congestion
International Journal of Network Management
On Reducing Broadcast Redundancy in Ad Hoc Wireless Networks
IEEE Transactions on Mobile Computing
Guest Editor's Introduction: Agent Systems and Applications
IEEE Concurrency
A Study of Synthetic Creativity: Behavior Modeling and Simulation of an Ant Colony
IEEE Intelligent Systems
A foundation for designing deadlock-free routing algorithms in wormhole networks
Journal of the ACM (JACM)
IEEE Internet Computing
Fault-Tolerant Mobile Agent Execution
IEEE Transactions on Computers
A Formal Architectural Model for Logical Agent Mobility
IEEE Transactions on Software Engineering
ACM Transactions on Internet Technology (TOIT)
Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management
IEEE Transactions on Parallel and Distributed Systems
Mobile agents in distributed network management
Communications of the ACM - A game experience in every application
Mobile Agents for Adaptive Routing
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Agent Chaining: An Approach to Dynamic Mobile Agent Planning
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Cost Effective Mobile Agent Planning for Distributed Information Retrieval
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Cost-Effective Planning of Timed Mobile Agents
ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
New analysis on mobile agents based network routing
Design and application of hybrid intelligent systems
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Java-based and secure learning agents for information retrieval in distributed systems
Information Sciences: an International Journal
Mobile agents for network management
IEEE Communications Surveys & Tutorials
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Communications Magazine
A mobile agent-based routing model for grid computing
The Journal of Supercomputing
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Mobile agent-based network routing is a new technique for routing in large-scale networks. An analysis of the searching activity and population growth of mobile agents is important for improving performance in agent-driven networks. In this paper, we describe a general execution model of mobile agents for network routing and classify it into two cases. For each case, we analyze the population distribution of mobile agents (the distribution of mobile agents running in the network) and the probability of success (the probability that an agent can find its destination). We also perform extensive experiments for various network topologies to validate our analytical results. Both theoretical and experimental results show that the population distribution and the probability of success of mobile agents can be controlled by locally adjusting relevant parameters, such as the number of agents generated per request, the number of jumps each mobile agent can move, etc. Our results reveal new theoretical insights into the statistical behaviors of mobile agents and provide useful tools for effectively managing mobile agents in large networks.