IJE TRANSACTIONS C: Aspects Vol. 27, No. 9 (September 2014) 1349-1358    Article Under Proof

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B. D. Deebak, R. Muthaiah, J. Rubert and N. Sathurappan
( Received: April 17, 2013 – Accepted: May 22, 2014 )

Abstract    Over two decades, a problem of location dependent has been focused for improving the communication Bandwidth-Power Efficiency of homogeneous networks. The efficiencies of communication links are weakened by the Hidden Terminal Problem. Thus we propose a Fine – Tune Strategy for analyzing the On-Off communication region. We were observed that the proposed technique had been able to track and monitor the off-region nodes for improving the fidelity of the link. Testing of TCP Variants was done to cross validate the Value of On-demand Bandwidth-Power Transmission Parameters. The proposed technique of On – Meet Threshold (O-MT) has been deployed in the Network Simulator Tool of NS2 (v2.34) and while probing, The parameters of Packet Reception Rate, Packet Dropping Rate and Throughput Rate were analyzed and found as best for TCP-EPRT (Enhanced Packet Reception Time) compared of TCP-Newreno.


Keywords    HTP, DCF, NP, Bandwidth Utilization, Network Simulator Tool, NS2, WT, Power Consumption, Throughput Rate, Average Delay, Dropping Rate, F-T, O-MT


چکیده    برای بیش از دو دهه، مشکل وابستگی منطقه ای برای بهبود راندمان پهنای باند- قدرت ارتباطات شبکه های همگن مورد توجه و تمرکز قرار گرفته است. بازدهی لینک های ارتباطی تحت تاثیر مشکل ترمینال مخفی تضعیف شده است. بنابراین ما استراتژی Fine-Tune را برای تجزیه و تحلیل ارتباطات منطقه ای روشن-خاموش پیشنهاد می کنیم. ما مشاهده کردیم که روش پیشنهادی قابلیت ردیابی و نظارت بر گره های خارج منطقه ای را برای بهبود راحتی لینک دارد. تست پارامترهای TCP برای اعتبار بخشی بر روی تقاضای انتقال پهنای باند-قدرت انجام شد. روش ارائه شده آستانه دیدار(O-MT) در شبکه ابزار شبیه ساز (v2.34) NS2 به کار گرفته شد و در حالت کاوش، پارامترهای نرخ بسته پذیرش، نرخ رها سازی بسته و نرخ توان عملیاتی، نرخ پهنای باند و استفاده از قدرت مورد تجزیه و تحلیل قرار گرفته و بستهTCP-EPRT در مقایسه با Reno TCP New بهتر تشخیص داده شد.


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