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Techniques of Power Optimization for Wireless Sensor Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 66 - Number 3 |
| Year of Publication: 2013 |
| Authors: Mukul Pratap Singh, Kunal Gupta |
10.5120/11063-5978
|
Mukul Pratap Singh, Kunal Gupta . Techniques of Power Optimization for Wireless Sensor Network. International Journal of Computer Applications. 66, 3 ( March 2013), 13-17. DOI=10.5120/11063-5978
Abstract
Wireless Sensor Networks is one of the hottest topic and growing area now days. WSN have become popular due to its wide range applications. There are lots of problems in Wireless sensor networks related to Power, Cost, and Bandwidth etc. Power optimization is the main constraint in WSN and this limitation with a typical deployment of huge figure of nodes has added challenges to the design and management of WSN. They are typically used for remote environment monitoring in areas where providing electrical power is difficult. Therefore, the devices need to be powered by batteries and alternative energy sources. The energy of battery is limited in Wireless sensor Networks. In WSN, limited transmission range, processing and storage capability as well as power resources are limited of sensor node. In this work, present a survey of new power saving and power optimization techniques for wireless sensor networks, which gives better result and increase the performance of WSN application areas.
References
- Akylidiz, W. Su, Sankarasubramaniam, and E. Cayrici, "A survey on sensor networks", IEEE Communications Magazine, Volume: 40 Issue: 8,August 2002, pp. 102-114.
- D. Culler, D. Estrin and M. Srivastava, "Overview of Sensor Networks", IEEE Computer Society, August 2004.
- Ayad Salhieh Jennifer Weinmann _ Manish Kochhal _ Loren Schwiebert, "Power Efficient Topologies forWireless Sensor Networks"reference. kfupm. edu. sa/. . . /power_efficient_topologies_for_wireless_529104. pdf
- Ewa Niewiadomska-Szynkiewicz, Piotr Kwa?niewski, Izabela Windyga, "Comparative Study of Wireless Sensor Networks Energy-Efficient Topologies and Power Save Protocols"
- Shuguang Cui and Andrea J. Goldsmith, "Cross-layer Optimization in Sensor Networks with EnergyConstraints",http://wsl. stanford. edu/projects/energy_eff. pdf
- Nariman Farsad, "Low-Complexity Energy Optimization of Wireless Sensor Networks", Thesis, Master of Science, Toranto 2009.
- R. Montemanni and L. Gambardella, "Swarm approach for a connectivity problem in wireless networks," in Proceedings 2005 IEEE Swarm Intelligence Symposium, pp. 265—272, 2005.
- M. Dorigo and T. Stuzle, Ant Colony Optimization. MIT Press, 2004.
- W. Agassounon, "Distributed information retrieval and dissemination in swarm-based networks of mobile, autonomous agents," in Proceedings of IEEE Swarm Intelligence Symposium, pp. 152—159,2003.
- O. Cordon, F. Herrera and T. Stuzle, "A review on the ant colony optimization metaheuristic: Basis, models and new trends," Mathware and software computing, no. 9, pp. 1—35, 2002.
- Y. t. Hsiao, C. L. Chuang and C. C. Chien, "Computer network load balancing and routing by ant colony optimization," in 12th IEEE International Conference on Networks, vol. 1, pp. 313 —318, 2004.
- J. Black and P. Rogaway, "Cbc macs for arbitrary-length messages: the three-key constructions," Journal of Cryptology, vol. 18, no. 2, pp. 111–131, 2005.
- W. Mao, Modern Cryptography: Theory and Practice. Prentice Hall PTR, 2003.
- A. Liu and P. Ning, "TinyECC: a configurable library for elliptic curve cryptography in wireless sensor networks," in IPSN 2008, April 2008, pp. 245–256, sPOTS Track.
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