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

fYear

2013

fDate

13-16 Oct. 2013

Firstpage

1401

Lastpage

1406

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on

Conference_Location

Manchester

Type

conf

DOI

10.1109/SMC.2013.242

Filename

6721995