Application of novel swarm intelligence algorithm for congestion control in structural health monitoring
| Autor: | Jayashree Subramanian, Athish Thirumal, Vijayalakshmi Senniappan |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
business.industry Particle swarm optimization 020206 networking & telecommunications Krill herd algorithm 02 engineering and technology Swarm intelligence Network congestion 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Network performance Structural health monitoring business Wireless sensor network Algorithm Efficient energy use |
| Zdroj: | 2016 IEEE Region 10 Conference (TENCON). |
| DOI: | 10.1109/tencon.2016.7847951 |
| Popis: | Buildings today are a complex integration of structures, systems and technology. Sensors are increasingly being installed in buildings to gather data about the various factors which helps to monitor the health of the structural components. Energy efficiency and network congestion are the most common issues faced by the sensor nodes. The proposed piece of work, uses a bio inspired swarm intelligence algorithm to improve the energy efficiency of the sensor nodes and mitigates congestion by forming clusters. The proposed method employes Biography Based Krill Herd algorithm for improving the network performance. The results of the proposed method, when compared with other classical evolutionary optimizations, has shown an increase of 42.11% of the network lifetime. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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