A tag-based solution for data sensing conflicts in multiple sensing agent systems

Authors:
Jiuchuan Jiang;Darong Lai;Yungui Zhang;Jingsheng Lei
Affiliations:
State Key Laboratory of Robotics and System (HIT), Harbin 150080, China and School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China and Labora ...;Laboratory for Complex Systems and Social Computing, Southeast University, Nanjing 211189, China;School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150080, China;School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Venue:
Advances in Engineering Software
Year:
2012

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Abstract

Multiple sensing agent system is generally used to represent practical distributed multiple sensor systems at an abstract level without worrying about the particulars of sensors, where agents represent the autonomous sensors. There are many multiagent coordination models which require relatively high memory and computation capacities of agents; thus those models are impractical for multiple sensing agent systems where agents have very limited memories and capacities. To fully relax agents from observing and memorizing other agents' actions, this paper proposes the concept of tag vector in multiagent coordination and proposes a novel tag-based solution for data sensing conflicts in multiple sensing agent systems; in the presented tag-based solution, agents can coordinate their sensed data according to their tags. The theoretical proofs and case study prove that the proposed tag-based solution can effectively solve the data sensing conflicts by making the sensed data more consistent and reducing the coordination expense.