Abstract
The SIRMs fuzzy diffusion (SIRMs-FD) routing mechanism is proposed and optimized by using the fuzzy preference-enhanced multi-objective Particle Swarm Optimizer (FPMOPSO) for Wireless Networked Control Systems (WNCSs). For these resource constrained networks, the lightweight nature of the SIRMs inference mechanism is a very desirable characteristic. Compared to the traditional fuzzy diffusion mechanism, the proposed approach improves packet loss rate and delay by 40% and 20% respectively, while the mean absolute error is improved by 20%. Performance in terms of residual energy is similar between the two approaches. This work demonstrates the effectiveness of the lightweight SIRMs-FD in WNCSs.
| Original language | English |
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| Pages | 6P |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011 - Suzhou, China Duration: 19 Nov 2011 → 23 Nov 2011 |
Conference
| Conference | International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011 |
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| Country/Territory | China |
| City | Suzhou |
| Period | 19/11/11 → 23/11/11 |
Keywords
- Fuzzy logic
- Multi-objective optimization
- Routing
- Wireless networks