scholarly journals ZRP ROUTING PROTOCOL PERFORMANCE IMPROVEMENT USING FUZZY BASED RADIUS APPROACH

2019 ◽  
Author(s):  
Nassir Harrag ◽  
Abdelghani Harrag
Keyword(s):  
Performance Improvement ◽  
Routing Protocol ◽  
Protocol Performance

scholarly journals Performance Evaluation of GPSR and AODV Routing Protocols in MANETS

2019 ◽  
Vol 9 (2S) ◽  
pp. 459-461
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Ad Hoc ◽  
On Demand ◽  
Protocol Performance ◽  
Military Applications ◽  
Wireless Medium ◽  
Distance Vector ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Mobile ad hoc networks (MANETs) are collection of nodes connected through wireless medium and do not require infrastructure for operation. Network Topology keeps on changing because mobility of nodes are high. Therefore, it is important for MANETs to provide excellent routing and security features. Since MANETs do not require any pre-existing infrastructure, they are extensively used in emergency and rescue and military applications. MANETs thus will form essentially an important part in wireless networks. In this paper, Ad hoc On-Demand Distance Vector (AODV) and Greedy Perimeter Stateless Routing (GPSR) routing protocol performance is compared with respect to Throughput and E2ED and observed that there is an improvement in throughput by 11% in case of GPSR. Simulation is performed using NS3.

scholarly journals Simulation Analysis of Ad-Hoc On-Demand Distance Vector Routing Protocol Performance in Mobile Ad Hoc Network Using Taguchi Design Approach

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Hazura Mohameda ◽  
Muhammad Hisyam Lee ◽  
Mazalan Sarahintub ◽  
Shaharuddin Salleh ◽  
Bahrom Sanugi
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Network Size ◽  
Taguchi Design ◽  
Transmission Range ◽  
Routing Overhead ◽  
Protocol Performance ◽  
Mobile Ad Hoc

Mobile ad-hoc network routing protocol performance is evaluated mostly through simulative studies. One-factor-at-atime approach is commonly used to quantify the effect of various factors on the protocol performance. In this work, the effect of several factors was investigated simultaneously and speedily with the application of Taguchi design of experiments. The effect of the factors which include terrain size, node speed, network size, transmission range, transmission rates, pause time, and maximum connection on routing overhead was quantified. Analysis signal-to-noise ratio was performed to determine the best possible combination of factors and analysis of variance (ANOVA) was carried out to identify the significant factors that affect the routing overhead. The results showed that network size, transmission range and maximum connection play a significant role in minimizing routing overhead. The results were confirmed experimentally at 95% confidence interval.

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