Bibhu Prasad Ganthia, Subash Ranjan Kabat | International Journal of Telecommunications & Emerging Technologies | Vol 12, Issue 02 | ISSN: 2455-0345
Abstract
Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange with neighbouring agents, thereby reducing communication overhead while improving measurement accuracy and network resilience. The proposed framework employs adaptive routing, decentralized coordination, and edge-based analytics to monitor temperature, humidity, air quality, particulate matter, noise level, soil moisture, and water quality in geographically distributed environments. Simulation-based evaluation demonstrates significant improvements in sensing accuracy, response latency, network lifetime, fault tolerance, and energy efficiency compared with conventional centralized sensor networks. The autonomous architecture ensures continuous operation despite node failures and dynamically adapts to changing environmental conditions through cooperative agent learning. The findings also show that distributed intelligence facilitates dependable operation in diverse and dynamic environmental monitoring situations, speeds up event detection, and enhances resource utilisation. The framework is suitable for smart cities, precision agriculture, industrial pollution surveillance, disaster management, forest ecosystems, and climate monitoring, providing a robust and scalable next-generation environmental instrumentation solution.
Keywords - Autonomous Multi-Agent Systems, Distributed Environmental Instrumentation, Wireless Sensor Networks, Edge Computing, Intelligent Sensors, Environmental Monitoring, IoT.
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How to cite this article
@article{GanthiaBP2026,
author = {Bibhu Prasad Ganthia and Subash Ranjan Kabat},
title = {Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation},
journal = {International Journal of Telecommunications & Emerging Technologies},
year = {2026},
volume = {12},
number = {02},
issn = {2455-0345},
url = {https://journalspub.com/publication/ijtets/article=27621}
}