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Agentic Sensor Ecosystems for Real-Time Infrastructure Awareness
编号：153 访问权限：仅限参会人 更新：2026-07-27 13:15:17 浏览：10次 Online

报告开始：2026年08月01日 11:40（Asia/Kolkata）

报告时间：15min

所在会场：[S8] Mixed Track Session [S8-1] Mixed Track Session

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摘要

Abstract—Advanced civil and urban infrastructures such as bridges, buildings, roads, and public utilities are dependent on dense networks of cameras, heterogeneous sensors, and drones for surveillance and timely maintenance. Most of the implemented supervision systems remained as inactive data pipelines. They can just collect and transmit the data to a unified system, and they are incapable of reasoning, negotiation, and flexible sensing and computation in dynamic network environments. This article introduced a framework of an autonomous software agent that is embedded with sensing, cloud tiers, and edge frameworks for monitoring networks, facilitating a live, self-organizing, situational-aware, rational-aware architecture called Agentic Sensor Ecosystem (ASE). The Bayesian state-fusion mechanism is used for enhancing the dependability of the sensor, edge-cloud offloading and sharing of the digital twin, and the distributed anomalies are aligned into a single framework. Mathematical parameters such as offloading probability, twin-state fusion, weighted multi-agent consensus, and system-level awareness scoring are proposed and integrated in a functioning model with 1600 sensor nodes along bridges, smart roads, and building implementations. The proposed framework accomplished 96.2% fault detection accuracy with an average end-to-end latency of 118 ms with 800 perpendicular nodes, which shows enhanced performance in cloud-only, edge-only, and federated-learning baselines by 5.5-14.1% for accuracy and reduces latency up to 68%. This suggests that agentic coordination is a practical solution for a scalable, reduced-latency framework awareness.
 
关键词
agentic artificial intelligence; digital twin; edge–cloud computing; Internet of Things; infrastructure monitoring; multi-agent systems; sensor fusion; structural health monitoring; real-time situational awareness
报告人
Neeththi Aadithiya B
ASSISTANT PROFESSOR M.kumarasamy college of engineering

稿件作者
ANIL SHARMA IES College of Technology, IES University, Bhopal
Siva Skandha S Department of CSE, CMR College of Engineering & Technology, Hyderabad, Telangana, India
Anish Gupta School of Engineering and Technology (SET), CGC University, Mohali
KOLLU DOLAKNATHCHAKRI Shri Venkateshwara Padmavathy Engineering College, Chennai
DEVASENAPATHY K Karpagam Academy of Higher Education Coimbatore
Neeththi Aadithiya B M.kumarasamy college of engineering
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重要日期

  • 会议日期

    07月30日

    2026

    至

    08月01日

    2026

  • 07月28日 2026

    初稿截稿日期

  • 08月03日 2026

    注册截止日期

主办单位
The United Societies of Science
承办单位
Kongunadu College of Engineering and Technology
协办单位
IEEE Section
IEEE Madras Section
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