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Computational Intelligence Techniques for Wireless Sensor Network: Review
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 118 - Number 14 |
| Year of Publication: 2015 |
| Authors: Sonal Chawla, Manju, Sugandha Singh |
10.5120/20815-3180
|
Sonal Chawla, Manju, Sugandha Singh . Computational Intelligence Techniques for Wireless Sensor Network: Review. International Journal of Computer Applications. 118, 14 ( May 2015), 23-27. DOI=10.5120/20815-3180
Abstract
Wireless sensors (nodes) in the network sense extract data from the various surrounding environment, sequence the sensed data locally, and then transfer the data to a base station for further processing through wireless communication. WSNs face various problem, communication failures, storage and computational constraints and limited power supply. The main challenge occur in WSN to save energy and prolong the network lifetime. Clustering is a technique that is used for managing energy consumption. However, clustering is NP hard optimization problem that can't be solved effectively by traditional methods. Different Computational Intelligence (CI) techniques are used to alter WSN dynamic nature.
References
- Basma Solaiman and Alaa Sheta. Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms. " International Journal of Computer Applications (0975 8887)":Volume 73 - No. 15, July 2013
- Moslem Afrashteh Mehr. Design and Implementation a New Energy Efficient Clustering Algorithm using Genetic Algorithm for Wireless Sensor Networks. World Academy of Science, Engineering and Technology Vol:5 2011-04-28
- Raghavendra V. Kulkarni. Particle Swarm Optimization in Wireless Sensor Networks: A Brief Survey. "IEEE Transactions on system, man and cybernetics-PART C:applications and reviews"
- Sajjad Hussain Shah, Kashif Naseer, Wajid Ali, Sohail Jabbar, Abid Ali Minhas. Prolonging the Network Life Time in WSN through Computational Intelligence: Proceedings of the World Congress on Engineering and Computer Science 2011 Vol I WCECS 2011, October 19-21, 2011, San Francisco, USA
- Raghavendra V. Kulkarni, Ganesh Kumar Venayagamoorthy. Computational Intelligence in Wireless Sensor Networks: A Survey: IEEE COMMUNICATIONS SURVEYS & TUTORIALS, ACCEPTED FOR PUBLICATION
- Rabia Iram, Muhammad Irfan Sheikh, Sohail Jabbar, Abid Ali Minhas. Computational Intelligence Based Optimization of Energy Aware Routing in WSN:" Proceedings of the World Congress on Engineering and Computer Science 2011 Vol IWCECS 2011, October 19-21, 2011, San Francisco, USA"
- Chee-Yee Chong and S. P. Kumar. Sensor networks: evolution, opportunities, and challenges. Proceedings of the IEEE, 91(8), 2003.
- I. Khemapech, I. Duncan, and A. Miller. A survey of wireless sensor networks technology. In PGNET, Proceedings of the 6th Annual Postgraduate Symposium on the Convergence of Telecommunications. 2005.
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