International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 47 - Issue 8 |
Published: June 2012 |
Authors: B. Santhana Krishnan, M. Ramaswamy |
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B. Santhana Krishnan, M. Ramaswamy . Energy Efficient Congestion Retrieval Strategy for Wireless Sensor Networks. International Journal of Computer Applications. 47, 8 (June 2012), 22-27. DOI=10.5120/7209-9996
@article{ 10.5120/7209-9996, author = { B. Santhana Krishnan,M. Ramaswamy }, title = { Energy Efficient Congestion Retrieval Strategy for Wireless Sensor Networks }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 47 }, number = { 8 }, pages = { 22-27 }, doi = { 10.5120/7209-9996 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A B. Santhana Krishnan %A M. Ramaswamy %T Energy Efficient Congestion Retrieval Strategy for Wireless Sensor Networks%T %J International Journal of Computer Applications %V 47 %N 8 %P 22-27 %R 10.5120/7209-9996 %I Foundation of Computer Science (FCS), NY, USA
Recent advances in Wireless technology ensemble a balanced flow of data load between the sensor nodes and thereby attempt to distribute the energy dissipated throughout the Wireless Sensor Network (WSN). The philosophy orients to create a multipath routing scheme and usher in a new era of undeterred communication between users. It foresees to annihilate the inherent limited energy resource crunch through a prudent operation of the self organized network and ensure an effective data transfer mechanism. The paper strives to develop a cluster based routing strategy with a view to effectively handle the traffic among the chosen paths and thereby endure to reduce congestion. The algorithm evaluated through NS-2 simulation focuses to highlight its ability to accomplish energy efficiency and thereby increase the life time of the network.