SCAVESIM

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Study of topological structures and their impact on search problems driven by mobile agents. Mobile agents can have direct communication (e.g., peer-to-peer or controller-driven communication) or indirect communication. Inter-agent communication mechanism, using whiteboards, is also explored. When using the whiteboard model, each agent has a local storage area where information can be written and read. Each such whiteboard is accessible in fair mutual exclusion to all incoming agents. Likewise, agent communication can follow a token model, in which agents have available a bounded number of tokens that can be carried, placed in a node and/or on a port of the node, or removed from them. Tokens are identical (i.e., indistinguishable tokens) and no other form of communication or coordination is available to the agents. Our simulations explore the complexity and impact of each of those communication models in terms of swarm intelligence.

Source Code & Publications

  1.     Public git mirrored repositories
     
  2. M. Barbeau, J. Garcia-Alfaro, E. Kranakis. "Geocaching-inspired Resilient Path Planning for Drone Swarms". IEEE MiSARN 2019, Joint 7th International Workshop on Mission-Oriented Wireless Sensor and Cyber-Physical System Networking (MiSeNet) and 12th International Workshop on Wireless Sensor, Robot and UAV Networks (WiSARN), co-located with IEEE INFOCOM 2019 – IEEE Conference on Computer Communications, April-May 2019, Paris, France.
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  3. W. Shi, M. Barbeau, J-P. Corriveau, J. Garcia-Alfaro, M. Yao. "Secure Localization in the Presence of Colluders in WSNs", Sensors, 17(8), August 2017.
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  4. W. Shi, J. Garcia-Alfaro, J-P. Corriveau. "Searching for a Black Hole in Interconnected Networks using Mobile Agents and Tokens". Journal of Parallel and Distributed Computing, 74(1):1945-1958, January 2014.
    Paper Ref. Full Paper