2019
DOI: 10.1177/1550147719850767
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A review on the applications of multiagent systems in wireless sensor networks

Abstract: Nowadays, the efficiency of multiagent systems in wireless sensor networks prompts the researchers to use these emerging mobile software packets in different simulated approaches or real-world applications. Heterogeneous and distributed wireless sensor networks could be integrated with the multiagent systems to map the real-world challenges into the artificial intelligence world. The multiagent systems have been applied from simulated approaches like object detection/ tracking, healthcare, control/assistant, a… Show more

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Cited by 49 publications
(28 citation statements)
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“…Sensor networks [15][16][17][18] should be regarded as a separate network component, partially compensating for the lack of autonomous computer vision systems. Such systems consist of sensor modules equipped with quick and low power consumption controllers that are adapted for long autonomous network data transfer.…”
Section: Achievements In the Realization Of Ai Methods For Cnmentioning
confidence: 99%
See 1 more Smart Citation
“…Sensor networks [15][16][17][18] should be regarded as a separate network component, partially compensating for the lack of autonomous computer vision systems. Such systems consist of sensor modules equipped with quick and low power consumption controllers that are adapted for long autonomous network data transfer.…”
Section: Achievements In the Realization Of Ai Methods For Cnmentioning
confidence: 99%
“…However, modern people want robots to make decisions even in critical tasks, preferring to exploit CN for education, social activity and entertainment. Thus, the term "computer network" now defines the network of computing devices, which can include robots [12][13][14] and sensor networks [15][16][17][18]. In any way, the desire to achieve the new level of artificial intelligence (AI) for future CN and global 5G and 6G Internet is partially motivated by the need to provide high throughput and reliable content delivery both for traditional network nodes [19][20][21] and unmanned robotic systems [22][23][24][25][26].…”
Section: Actual Problems For Communication Networkmentioning
confidence: 99%
“…In this type of MAS, agents developed by different stakeholders, as 'black boxes' and with their own goals, join the MAS. This feature is of interest in some applications, for example in smart cities or IoT networks, but organisational and security problems are particularly relevant (Serrano and Bajo, 2020;Derakhshan and Yousefi, 2019;Bijani and Robertson, 2014).…”
Section: Multi-agent Systemsmentioning
confidence: 99%
“…A good guide to agent-based modelling (ABM) of complex systems that includes analysis, verification and validation of ABM can be found in (Wilensky and Rand, 2015). The usage of agent-based approaches to problem solving is spreading in many fields, so recent examples of agent-based solutions can be found for industry in (Herrera et al, 2020;Hoffmann, 2019), biology in (Zhang and DeAngelis, 2020;Soheilypour and Mofrad, 2018), communications network modelling in (Derakhshan and Yousefi, 2019;Sutagundar et al, 2019), supply chain modelling in (Dominguez, 2020;Arvitrida, 2018), energy optimization in (Al-Issaei et al, 2019), etc. As more and more of these agentbased systems are implemented, they will eventually have to communicate and interact with each other to meet increasingly complex objectives that may require completing tasks out of their own scope.…”
Section: Introductionmentioning
confidence: 99%
“…It has been applied vastly in areas from military application, manufacturing traceability, to health monitoring. 1,2 In the framework of Asset Monitoring, the concept of communicating material, proposed in 2009, 3 relates to a material that can communicate with its surrounding environment, and store and process information. Based on this concept, the McBIM (Material communicating with the Building Information Modeling) project, 4 funded by the ANR (French National Research Agency), has been coordinated by the CRAN (Research Center for Automatic Control) since 1 January 2018.…”
Section: Introduction and Contextmentioning
confidence: 99%