Performance Analysis of RIP, EIGRP, and OSPF Using OPNET

Routing protocols are key elements of modern communication networks. Currently deployed dynamic routing protocols that are used to propagate network topology information to the neighboring routers are Routing Information Protocol (RIP), Enhanced Interior Gateway Routing Protocol (EIGRP), and the Open Shortest Path First (OSPF) protocol. The choice of the right routing protocol depends on a number of parameters. In this paper, we use OPNET Modeler to analyze the performance of RIP, EIGRP, and the OSPF protocols, which are commonly deployed in Internet Protocol (IP) networks. We designed various simulation scenarios to compare their performance. 1

Performance Analysis of Routing Protocols for Wireless Ad-hoc Networks

Ad-Hoc Routing Protocols Ad-Hoc On-Demand Distance Vector (AODV) Algorithm Dynamic Source Routing (DSR) Algorithm Optimized Link State Routing (OLSR) Algorith

Comparison of WiMAX and ADSL Performance when Streaming Audio and Video Content

The IEEE 802.16 Worldwide Interoperability for Microwave Access (WiMAX) standard is widely used for fixed and mobile Internet access. WiMAX provides maximum data rate of 75 Mbps and high-speed Internet access to a wide range of devices used by clients over the last mile. Asymmetric Digital Subscriber Line (ADSL) is widely used to provide guaranteed service. In this paper, we compare performance of WiMAX and ADSL by streaming audio and video contents. File Transfer Protocol (FTP), Hyper Text Transfer Protocol (HTTP), and electronic mail have also been used for the comparison. We used OPNET Modeler versions 15.0 and 16.0 to evaluate packet loss, delay, delay jitter, and throughput with various design parameters to determine whether WiMAX exhibits performance comparable to ADSL

IEEE Access Special Section Editorial: Recent Advances on Hybrid Complex Networks: Analysis and Control

Complex networks typically involve multiple disciplines due to network dynamics and their statistical nature. When modeling practical networks, both impulsive effects and logical dynamics have recently attracted increasing attention. Hence, it is of interest and importance to consider hybrid complex networks with impulsive effects and logical dynamics. Relevant research is prevalent in cells, ecology, social systems, and communication engineering. In hybrid complex networks, numerous nodes are coupled through networks and their properties usually lead to complex dynamic behaviors, including discrete and continuous dynamics with finite values of time and state space. Generally, continuous and discrete sections of the systems are described by differential and difference equations, respectively. Logical networks are used to model the systems where time and state space take finite values. Although interesting results have been reported regarding hybrid complex networks, the analysis methods and relevant results could be further improved with respect to conservative impulsive delay inequalities and reproducibility of corresponding stability or synchronization criteria. Therefore, it is necessary to devise effective approaches to improve the analysis method and results dealing with hybrid complex networks

Dual-Trigger Handover Algorithm for WiMAX Technology

IEEE 802.16e is a Worldwide Interoperability Microwave Access (WiMAX) standard that supports mobility. Handover is one of the most important factors that affect the performance of a WiMAX network. Various handover schemes have been proposed and implemented. In this paper, we propose Dual-Trigger Handover (DTHO) algorithm for WiMAX networks. The proposed handover algorithm depends on the computation of signal to noise ratio (SNR) received at the Mobile Station (MS) from various Base Stations (BSs). Relying on SNR measurements and free capacity measurements of the serving BS and the target BS improves the accuracy of handover decisions. The handover is not triggered by the MS node or the BS node individually. Instead, it is a combined decision between the two nodes. The proposed algorithm is implemented in both MS and BS nodes. We implemented the proposed algorithm using OPNET Modeler version 14 running on Windows operating system. The algorithm was simulated using multiple scenarios with various channel parameters