Title :
Automatic Multi-sensor Task Allocation Using Modified Distributed Bees Algorithm
Author :
Tkach, Itshak ; Edan, Yael ; Jevtic, Aleksandar ; Nof, Shimon Y.
Author_Institution :
Dept. of Ind. Eng. & Manage., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Abstract :
In this paper, we propose a Modified Distributed Bees Algorithm (MDBA) for multi-sensor task allocation in a supply chain security scenario. The MDBA assigns sensors to the upcoming tasks using a decentralized, probabilistic approach to maximize information gain while minimizing costs. Tasks are allocated based on sensors´ performance, tasks´ priorities and the mutual sensor-task distances. Simulation analysis compared different algorithms and indicated improved performance of 15% by using MDBA with respect to the second-best algorithm.
Keywords :
cost reduction; minimisation; multi-agent systems; probability; security; sensor fusion; supply chain management; MDBA; automatic multisensor task allocation; cost minimization; decentralized approach; information gain maximisation; modified distributed bees algorithm; multiagent system; mutual sensor-task distances; probabilistic approach; simulation analysis; supply chain security scenario; Algorithm design and analysis; Monitoring; Resource management; Security; Sensor systems; Supply chains; distributed task allocation; multi-agent systems; swarm intelligence;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.242
