An Agent-Based System to Simulate Dynamic and Noisy Ambience of Industrial Wireless Sensor Networks
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In this paper, we propose a multi-agent systems approach for wireless sensor node tracking in an industrial environment. The research builds on extant work on wireless sensor node clustering by reporting on the development of a set of simulation models to support our distributed management approach for tracking mobile nodes in a large-scale industrial wireless sensor network. Our simulation models build on models and concepts from the literature on wireless sensor networks and wireless communication, with adaptations to address the needs of an industrial environment. An example of mobile node tracking with our distributed management approach is presented, showing accurate tracking performance for both fixed and random mobile node paths.
2021 ◽
Vol 13
(1)
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pp. 36-48
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2021 ◽
Vol 11
(4)
◽
pp. 2836-2849
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