alexa Analysis on Open-Source Networks of MAC, Energy Model for IEEE 802.11 standards using QualNet Simulator
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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Research Article

Analysis on Open-Source Networks of MAC, Energy Model for IEEE 802.11 standards using QualNet Simulator

Dharam Vir1, Dr. S.K. Agarwal2, Dr. S.A. Imam3
  1. Research Scholar, Dept. of Electronics Engineering, YMCA University of Science & Technology, Faridabad, India1
  2. Professor & Dean, Dept. of Electronics Engineering, YMCA University of Science & Technology, Faridabad, India 2
  3. Assistant Professor Dept. of Electronics & Comm. Engineering, Jamia Millia Islamia, New Delhi, India 3
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In this paper, we efforts on the simulation of IEEE 802.11 standards Physical (PHY), Medium Access Control (MAC), and Energy model are investigating using QualNet network simulator. Routing data from source to destination is hard in Mobile Ad-Hoc Networks (MANET) due to the mobility of the network elements and lack of central administration. The main method for evaluating the performance of MANETs is simulation. The IEEE 802.11e Medium Access Control (MAC) is an emerging standard to support Quality of Service (QoS). As we show the HCF scheduling algorithm is only for Constant Bit Rate (CBR) characteristics. However, a lot of real-time applications, such as video conferencing, have small variations in their packet sizes, sending rates or even have Constant Bit Rate (CBR) characteristics. In this paper performance of Ad-hoc On-demand Distance Vector (AODV) and Dynamic Source Routing (DSR) reactive routing protocol are studied by considering IEEE 802.11 standards. Performance metrics like average end-to-end delay, average jitter, energy consumed in transmit and received modes, total broadcast sent and received and throughput are considered for investigating simulation scenario by varying network size in CBR with 10 mps node mobility. Also simulation has been carried out by varying mobility for scenario with 40 nodes.


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