Intelligent Agents Assisted Information Aggregation in Internet of Things

Sharanappa, P. H.; Kakkasageri, Mahabaleshwar S.

doi:10.1109/icaecc54045.2022.9716588

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Cited by 2 publications

References 11 publications

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Compressed Data Aggregation Using Regulated Duty Cycle for WSN-IOT Networks

Gupta,

Gulati,

Bindal

et al. 2023

Lecture Notes in Networks and Systems

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Compressed Data Aggregation Using Regulated Duty Cycle for WSN-IOT Networks

Gupta,

Gulati,

Bindal

et al. 2023

Lecture Notes in Networks and Systems

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Multi-agent system architecture for winter road maintenance: a real Spanish case study

Jiménez-Bravo,

Bajo,

González-Pachón

et al. 2024

Knowl Inf Syst

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Road safety remains a critical issue in contemporary society, where the sudden deterioration of road conditions due to weather-related natural phenomena poses significant risks. These abrupt changes can lead to severe safety hazards on the roads, making real-time monitoring and control essential for maintaining road safety. In this context, technological advancements, especially in sensor networks and intelligent systems, play a fundamental role in efficiently managing these challenges. This study introduces an innovative approach that leverages a sophisticated sensor platform coupled with a multi-agent system. This integration facilitates the collection, processing, and analysis of data to preemptively determine the appropriate chemical treatments for roads during severe winter conditions. By employing advanced data analysis and machine learning techniques within a multi-agent framework, the system can predict and respond to adverse weather effects swiftly and with a high degree of accuracy. The proposed system has undergone rigorous testing in a real-world environment, which has verified its operational effectiveness. The results from the deployment of the multi-agent architecture and its predictive capabilities are encouraging, suggesting that this approach could significantly enhance road safety in extreme weather conditions. Furthermore, the proposed architecture allows the system to evolve and scale over time. This paper details the design and implementation of the system, discusses the results of its field tests, and explores potential improvements.

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Intelligent Agents Assisted Information Aggregation in Internet of Things

Cited by 2 publications

References 11 publications

Compressed Data Aggregation Using Regulated Duty Cycle for WSN-IOT Networks

Compressed Data Aggregation Using Regulated Duty Cycle for WSN-IOT Networks

Multi-agent system architecture for winter road maintenance: a real Spanish case study

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