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Performance Analysis of Energy-Aware Load Adaptive Schemes for Optical Communication Networks
Authors(2) :-S. Mathu Mohan, Dr. P. N. K. Sakthivel
Wireless Sensor Network (WSN) is one of the new paradigms which is helping for sharing and disseminating data in the Sensor Networks. Extended Network Lifetime, Scalability, and Traffic Balancing among the Nodes in the Network are significant requirements and challenges for Wireless Sensor Networks which requirements are achieved by clustering that is one of the effectual techniques for achieving these requirements. This research work identifies a few popular Energy Efficient Clustering Protocols namely i. Switch-On, ii. Load Adaptive Sequence Arrangement-Fixed Minimal Transmission Time (LASA-FMT) and iii. Internet Protocol/ Wavelength-Division-Multiplex (IP-WDM) for analysis and studied thoroughly. From the experimental results, it was noticed that the Switch-On model is performing well in term of Routers/ Throughput but however it fails to achieve Throughput, Router Utilization and it is also consuming more Power. The LASA-FMT is outperforming in term of Throughput and the IP-WDM model is outperforming in terms of Router Utilization and Power Consumption, but however this model was incompetent to achieve Throughput.
S. Mathu Mohan, Dr. P. N. K. Sakthivel
Clustering, Energy Efficiency, Fuzzy Logic, Residual Energy, Ring Routing, Routing Technique, Wireless Sensor Networks
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Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 309-316
Manuscript Number : IJSRST1845449
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
S. Mathu Mohan, Dr. P. N. K. Sakthivel, "Performance Analysis of Energy-Aware Load Adaptive Schemes for Optical Communication Networks", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 8, pp.309-316, May-June-2018.
Journal URL : http://ijsrst.com/IJSRST1845449