Wasim Haidar, SK and Wilfred Blessing, N. R and Sudhakar Kumar, Chaubey and Zahid, Mehmood and Kavitha, S.J and Sutherlin Subitha, G (2025) AI-Integrated Sensor Data Analytics for Real-Time Decision-Making in Wireless Sensor Networks. In: International Conference on Machine Learning and Autonomous Systems (ICMLAS), 10-12 March 2025, Prawet, Thailand.
Full text not available from this repository. (Request a copy)Abstract
The study compares the performance of Wireless Sensor Networks (WSNs) with 20, 30, 40, and 50 nodes in real-time AI-enhanced sensor analytics using the AODV routing protocol. All configurations showed a consistent Packet Delivery Ratio (PDR) of 100%. However, the end-to-end delay increased slightly from 0.2 sec (20 nodes) to 0.3 sec (30, 40, 50 nodes), indicating that larger networks result in longer paths. Throughput decreased from 2560 bps at 20 nodes to 1706.67 bps in larger configurations, probable due to network congestion. Energy efficiency also decreased as the number of nodes increased, suggesting higher energy consumption per transmission.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Computer Science Engineering > Artificial Intelligence |
| Domains: | Computer Science Engineering |
| Depositing User: | AA BB CC |
| Date Deposited: | 13 Mar 2026 08:04 |
| Last Modified: | 16 Mar 2026 07:18 |
| URI: | https://ir.vistas.ac.in/id/eprint/13201 |
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