Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions
Chivalry: Signal Processing for WMSNs Humanoid vertical lace up boot where the lacing up shoes are made of suede or synthetic leather. Yet, the current research on WSNs shows limitations such as much energy consumption, scalability issues, security risks and no multi-environmental integration. To ta...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
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| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_03002.pdf |
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| author | R Suganya P Balaramesh S Kannadhasan V Chandrasekhar S R Arun Raj R Dhilipkumar |
| author_facet | R Suganya P Balaramesh S Kannadhasan V Chandrasekhar S R Arun Raj R Dhilipkumar |
| author_sort | R Suganya |
| collection | DOAJ |
| description | Chivalry: Signal Processing for WMSNs Humanoid vertical lace up boot where the lacing up shoes are made of suede or synthetic leather. Yet, the current research on WSNs shows limitations such as much energy consumption, scalability issues, security risks and no multi-environmental integration. To tackle those challenges, this research proposes an enhanced, optimized WSN framework integrative of blockchain-encrypted security, artificial intelligence (AI)-based adaptive routing, and hybrid edge–cloud computing. Their proposed system consisting of terrestrial, aerial and underwater WSNs ensures high-quality integration for continuous environmental monitoring, due to its seamless, energy-efficient and scalable nature. Also, the long-range communication protocols (LoRaWAN & NB-IoT) are included to boost data sending from distant regions. In this paper, we introduce a new UAV-assisted, solar-powered sensor network solution for coverage extension and operational cost reduction. This research further investigates AI-based energy-conscious data aggregation methods to reduce power utilization and enhance sensor lifespan. We perform real-world validation to show the practicality of proposed system to monitor air pollutants, water quality and climate parameters. As a result, the recommended framework greatly improves data reliability, scalability, and real-time decision-making capacities, therefore it can serve as an applicable model for modern environmental monitoring. |
| format | Article |
| id | doaj-art-d1e4197ba8594b189d742e09c570545d |
| institution | DOAJ |
| issn | 2271-2097 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-d1e4197ba8594b189d742e09c570545d2025-08-20T03:04:30ZengEDP SciencesITM Web of Conferences2271-20972025-01-01760300210.1051/itmconf/20257603002itmconf_icsice2025_03002Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future DirectionsR Suganya0P Balaramesh1S Kannadhasan2V Chandrasekhar3S R Arun Raj4R Dhilipkumar5Associate Professor, Department of Computer Science and Engineering (Data Science), New Horizon College of EngineeringAssociate Professor of Chemistry, Department of Science and Humanities, R.M.K.Engineering CollegeAssociate Professor & HOD, Department of Electronics and Communication Engineering, Study World College of EngineeringAssistant Professor, Department of Computer Science and Engineering, Ballari Institute of Technology and ManagementAssistant Professor, Department of Electronics & Communication Engineering, University BDT College of EngineeringAssociate Professor, Department of ECE, New Prince Shri Bhavani College of Engineering and TechnologyChivalry: Signal Processing for WMSNs Humanoid vertical lace up boot where the lacing up shoes are made of suede or synthetic leather. Yet, the current research on WSNs shows limitations such as much energy consumption, scalability issues, security risks and no multi-environmental integration. To tackle those challenges, this research proposes an enhanced, optimized WSN framework integrative of blockchain-encrypted security, artificial intelligence (AI)-based adaptive routing, and hybrid edge–cloud computing. Their proposed system consisting of terrestrial, aerial and underwater WSNs ensures high-quality integration for continuous environmental monitoring, due to its seamless, energy-efficient and scalable nature. Also, the long-range communication protocols (LoRaWAN & NB-IoT) are included to boost data sending from distant regions. In this paper, we introduce a new UAV-assisted, solar-powered sensor network solution for coverage extension and operational cost reduction. This research further investigates AI-based energy-conscious data aggregation methods to reduce power utilization and enhance sensor lifespan. We perform real-world validation to show the practicality of proposed system to monitor air pollutants, water quality and climate parameters. As a result, the recommended framework greatly improves data reliability, scalability, and real-time decision-making capacities, therefore it can serve as an applicable model for modern environmental monitoring.https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_03002.pdfwireless sensor networks (wsns)environmental monitoringai/ml-based routingblockchain securityedge-cloud computing |
| spellingShingle | R Suganya P Balaramesh S Kannadhasan V Chandrasekhar S R Arun Raj R Dhilipkumar Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions ITM Web of Conferences wireless sensor networks (wsns) environmental monitoring ai/ml-based routing blockchain security edge-cloud computing |
| title | Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions |
| title_full | Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions |
| title_fullStr | Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions |
| title_full_unstemmed | Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions |
| title_short | Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions |
| title_sort | wireless sensor networks in environmental monitoring applications challenges and future directions |
| topic | wireless sensor networks (wsns) environmental monitoring ai/ml-based routing blockchain security edge-cloud computing |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_03002.pdf |
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