Abstract
Any wireless sensor network can experience anomalies that can hinder performance. This work presents a distributed estimation algorithm that estimates any such anomalies using a PSO algorithm. PSO algorithms are computationally expensive. This work presents a low complexity version of the algorithm that removes redundant computations and achieves excellent performance as well. Low complexity algorithms are essential for a longer battery life of wireless sensor so this algorithm provides an excellent alternative to the basic linear adaptive filtering algorithms that have low complexity but require a lot more time to achieve similar results.
| Original language | English |
|---|---|
| Title of host publication | 2024 International Conference on Emerging Trends in Smart Technologies, ICETST 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331515850 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 International Conference on Emerging Trends in Smart Technologies, ICETST 2024 - Karachi, Pakistan Duration: 10 Oct 2024 → 11 Oct 2024 |
Publication series
| Name | 2024 International Conference on Emerging Trends in Smart Technologies, ICETST 2024 |
|---|
Conference
| Conference | 2024 International Conference on Emerging Trends in Smart Technologies, ICETST 2024 |
|---|---|
| Country/Territory | Pakistan |
| City | Karachi |
| Period | 10/10/24 → 11/10/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Distributed Estimation
- Event Triggering
- Low Complexity
- Particle Swarm Optimization
- Self-Organizing Hierarchical PSO
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Control and Optimization
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