Designing Dependable Agent Systems for Mobile Wireless Networks
IEEE Intelligent Systems
Service-Based Computing on Manets: Enabling Dynamic Interoperability of First Responders
IEEE Intelligent Systems
Network meta-reasoning for information assurance in mobile agent systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Quorum sensing and self-stopping worms
Proceedings of the 2007 ACM workshop on Recurring malcode
Industrial deployment of multi-agent technologies: review and selected case studies
Autonomous Agents and Multi-Agent Systems
Policy-constrained bio-inspired processes for autonomic route management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Biologically inspired collective comparisons by robotic swarms
International Journal of Robotics Research
Host selection through collective decision
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
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Mobile ad-hoc networks (MANETs) are an increasingly important networking paradigm that will be the backbone of important defense and first response networks. Group decision-making is key to these environments, but is made difficult when MANETs are introduced due to network disruptions, bandwidth limitations, and host mobility patterns. Results gathered using standard group decision-making algorithms can become inaccurate, time-insensitive, or computationally undecidable. This paper focuses on a group decision-making approach using agent-based quorum sensing (ABQS) on MANETs. A mobile agent collects information (e.g., votes) from each host on a network until it can make an informed decision about global preference. This agent exploits the inherent tradeoff between efficient vote collection and result accuracy in order to provide better results, when considering survivability, hosts visited, hops made, and time spent, with only a very slight drop in correctness---benefits that greatly outweigh costs. Experimental evidence from live MANETs demonstrates the effectiveness of this solution.