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Tracking and sensor coverage of spatio-temporal quantities using a swarm of artificial foraging agents

Oyekan, John Oluwagbemiga and Gu, Dongbing and Hu, Huosheng (2020) 'Tracking and sensor coverage of spatio-temporal quantities using a swarm of artificial foraging agents.' Journal of Bionic Engineering, 13 (4). pp. 679-689. ISSN 1672-6529

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Using a network of mobile sensors to track and map a dynamic spatio-temporal process in the environment is one of the current challenges in multi-agent systems. In this work, a distributed probabilistic multi-agent algorithm inspired by the bacterium foraging behavior is presented. The novelty of the algorithm lies in being capable of tracking and mapping a spatio-temporal quantity without the need of machine learning, estimation algorithms or future planning. This is unlike most current techniques that rely heavily on machine learning to estimate the distribution as well as the profile of spatio-temporal quantities. The experimental studies carried out in this work show that the algorithm works well by following the concentration gradient of a dynamic plume created under diffusive conditions. Furthermore, the algorithm is inherently capable of finding the source of a diffusive spatio-temporal quantity as well as performing environmental exploration. It is computationally tractable for simple agents, shown to adapt to its environment and can deal successfully with noise in sensor readings as well as in robot dynamics.

Item Type: Article
Uncontrolled Keywords: bioinspired algorithm; artificial foraging swarm; spatio-temporal mapping; bacterium
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 12 Dec 2016 14:38
Last Modified: 18 Aug 2022 12:49

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