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Explainable Cooperative Edge Sensing for Human-Centric Digital Ecosystems: Architectures, Intelligence, and Future Directions
编号：148 访问权限：仅限参会人 更新：2026-07-27 12:58:05 浏览：10次 Online

报告开始：2026年07月31日 15:25（Asia/Kolkata）

报告时间：15min

所在会场：[S7] Disruptive Technologies for Manufacturing [S7-2] Disruptive Technologies for Manufacturing

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摘要
Abstract—In today's digital era, cooperative sensing between wearable devices, home devices, mobile devices and a range of edge computing devices are vital for delivering reliable and context-aware services in human-centric digital systems. Though collaborative sensing helps to better cover the area, strengthen the accuracy, and enhance the resilience of the system, decisions derived from collaborations are often not transparent and are consequently hard for the users to interpret and trust. The paper gives an overview of explainable cooperative edge sensing – an emerging research area, which brings together cooperative sensing, explanatory artificial intelligence, and trust management in a single research concept. A six-layer architecture is proposed to show the whole sensing pipeline ranging from human-centric data acquisition, cooperative edge processing, explainable decision fusion, trust evaluation, edge–cloud intelligence to delivered intelligent applications. Original mathematical models for adaptive fusion weighting, dynamic updating of trust and human-centric utility evaluation are added to improve the framework. The proposed scheme is further analyzed and compared with existing schemes in terms of trust level, response time, and energy efficiency, to show the usefulness of the proposed scheme over the existing schemes. Moreover, the work identifies some of the research dilemmas such as scalability, privacy preservation, interoperability and real-time explainability and the future research directions to create trustworthy and transparent cooperative edge sensing systems for next-generation intelligent environments.
关键词
Cooperative edge sensing, explainable artificial intelligence, human-centric computing, trust management, sensor fusion, edge–cloud intelligence.
报告人
Mohamed Faizal M K
ASSISTANT PROFESSOR K.Ramakrishnan College of Engineering；TRICHY-TAMILNADU

稿件作者
MAGESHWARAN A Shri Venkateshwara Padmavathy Engineering College, Chennai
Ashwani K Sharma School of Engineering and Technology (SET) CGC University, Mohali
3SUDEEP KUMAR GUPTA IES College of Technology, IES University, Bhopal
Abdul Subhani Shaik CMR College of Engineering & Technology, Hyderabad, Telangana,
Neeraj Varshney GLA University, Mathura
Mohamed Faizal M K K.Ramakrishnan College of Engineering；TRICHY-TAMILNADU
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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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