Key Factor and Interaction for Network Performance in Mobile Ad Hoc Networks

Abstract

Abstract-In this paper, we present a comprehensive statistical experiment and identify the key factors and interactions that impact network performance over mobile ad hoc networks. We use the design of experiments software named Design-Ease to establish the mathematical model for analyzing the set of simulation results from ns2. A variety of important parameters for network performance including routing protocol, node density, node speed, traffic load and pause time are considered to capture the vital factors and interactions for network performance by measuring the packet delivery ratio, average delay, discovery time and recovery time in which latter two are the crucial metrics for ad hoc self-organising performance measurement. With the simulation and analysis results, we conclude the key factors and interactions which influence the specific network performance and suggest which aspects the designers should focus on for improving the given network performance.

Response Surface Methodology for Performance Analysis and Modeling of MANET Routing Protocols

“…The study showed that the most significant parameter that affects the routing overhead is the size of the network, followed by pause time, node speed, and traffic load. Similarly, the authors in [10] employed the Taguchi approach to investigate the drop rate performance of DSR and AODV routing protocols. In the same work various parameters of network performance (routing protocol, node density, node speed, traffic load, and pause time) are considered to analyze the factors and interactions for the network performance of DSR and AODV routing protocols by determining various metrics (packet delivery ratio, average delay, discovery time, and recovery time) using a factorial design.…”

“…In the same work various parameters of network performance (routing protocol, node density, node speed, traffic load, and pause time) are considered to analyze the factors and interactions for the network performance of DSR and AODV routing protocols by determining various metrics (packet delivery ratio, average delay, discovery time, and recovery time) using a factorial design. Many other works used factorial design to quantify the main and interactive effects [11,10,12,13]. The authors in [14], have used a factorial design technique to analyze routing mobile ad-hoc networks and have developed two first-order linear models that define the relationship between the influential parameters and two performance metrics.…”