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Improving Performance of the Wireless Sensor Networks based on the life-time of Nodes

S. Beski Prabaharan, D. Sivakumar

Abstract


This paper presents methods to improve lifetime of the wireless sensor networks (WSN). Wireless sensor networks consisting of several thousands of sensor nodes and few sink nodes. There are three different methods proposed and one method used to increase the lifetime of the WSN. The methods are – rescheduling the network, mutli-hop transmission and deleting the weak node from the network.  A multi-channel system is used to create a cellular structure by assigning one frequency channel per cluster. We have used simulator to evaluate sensors energy level in various rounds. The results are studied and analyzed.


Keywords


Wireless Sensor Networks, Multiple Sinks, Reschedule, Clustering Algorithm, Network Performance

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References


Mehdi Golsorkhtabar, Mehdi Hosinzadeh, Mir Javad Heydari1, Saeed Rasouli1, “New Power Aware Energy Adaptive protocol with Hierarchical Clustering for WSN”, (IJCNS) International Journal of Computer and Network Security, Vol. 2, No. 4, April 2010.

Fulvio Babish, Massimiliano Comisso, and Licio Mania, “Sustainable simultaneous communications in ad-hoc network using smart antenna systems”, Springer Science + Business Media LLC February 2008

Gburzynski P., Kaminska B . And Olesinski W, “ A Tiny and Efficient Wireless Ad-hoc Protocol for Low-cost Sensor Networks”, DATE 2007.

M Bertinato, G. Ortolan, F. Maran, et. al., “R F Localization and tracking of mobile nodes in Wireless Sensors Networks: Architectures, Algorithms and Experiments”, 2008

Wei Wang, Vikram Srinivasan, Kee-Chaing Chua (Members IEEE), “Power Control For Distributed Mac Protocols In Wireless Ad HocNetworks”,IEEE CS, CASS, ComSoc, IES & SPS

http://searchmobilecomputing.techtarget.com/sDefinition/0,sid40 gci213462,00.html

Savvas Gitzenis and Nicholas Bambos, IEEE Members, “Joint Task Migration And Power Management In Wireless Computing”, IEEE Transactions on Mobile Computing, Vol. 8, No. 9, September 2009.

M. J. Handy, M. Haase, D. Timmermann, Low Energy Adaptive Clustering Hierarchy with Deterministic Cluster-Head Selection, Institute of Applied Microelectronics and Computer Science, University of Rostock

John A Stankovic, Wireless Sensor Networks, Department of Computer Science, University of Virginia. Xian Wang Pingzhi Fan, “A Strongly Consistent Cached Data Access Algorithm For Wireless Data Networks”, Published online: 2 February 2008, Springer Science + Business Media, LLC 2008

http://www.softwarepatch.com/windows/directx.html


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