Teleradiology system analysis using a discrete event-driven block-oriented network simulator

1992 ◽  
Author(s):  
Brent K. Stewart ◽  
Samuel J. Dwyer III
Keyword(s):  
System Analysis ◽  
Discrete Event ◽  
Network Simulator ◽  
Event Driven ◽  
Teleradiology System

OPNET Simulation Setup for QoE Based Network Selection

2012 ◽  
pp. 100-139
Author(s):  
Umar Toseef ◽  
Manzoor Ahmed Khan
Keyword(s):  
User Satisfaction ◽  
Discrete Event ◽  
Mobile Terminal ◽  
Research Literature ◽  
User Preferences ◽  
Transport Infrastructure ◽  
Network Simulator ◽  
Component Development ◽  
Efficient Resource

In its most generic sense, the user-centric view in telecommunications considers that the users are free from subscription to any one network operator and can instead dynamically choose the most suitable transport infrastructure from the available network providers for their terminal and application requirements. In this approach, the decision of interface selection is delegated to the mobile terminal enabling end users to exploit the best available characteristics of different network technologies and network providers, with the objective of increased satisfaction. In order to more accurately express the user satisfaction in telecommunications, a more subjective and application-specific measure, namely, the Quality-of-Experience (QoE) is introduced. QoE is the core requirement in future wireless networks and provisions. It is a framework that optimizes the global system of networks and users in terms of efficient resource utilization and meeting user preferences (guaranteeing certain Quality-of-Service [QoS] requirements). A number of solution frameworks to address the mentioned problems using different theoretical approaches are proposed in the research literature. Such scholarly approaches need to be evaluated using simulation platforms (e.g., OPNET, NS2, OMNET++, etc.). This chapter focuses on developing the simulation using a standard discrete event network simulator, OPNET. It outlines the general development procedures of different components in simulation and details the following important aspects: Long Term Evolution (LTE) network component development, impairment entity development, implementing IPv6 flow management, developing an integrated heterogeneous scenario with LTE and WLAN, implementing an example scenario, and generating and analyzing the results.

scholarly journals Research on a Hierarchical Dynamic Automatic Voltage Control System Based on the Discrete Event-Driven Method

Energies ◽  
2013 ◽  
Vol 6 (6) ◽  
pp. 2949-2965 ◽  
Author(s):  
Wei Hu ◽  
Le Zheng ◽  
Qiuyu Lu ◽  
Yong Min
Keyword(s):  
Control System ◽  
Discrete Event ◽  
Voltage Control ◽  
Event Driven

scholarly journals Optimising Differentiated Services Strategies under IMS

2018 ◽  
Vol 2 (3) ◽  
pp. 1-10
Author(s):  
David K. Osei-Aboagye ◽  
Peter S. Excell
Keyword(s):  
Mobile Communications ◽  
Network Architecture ◽  
Discrete Event ◽  
Differentiated Services ◽  
Main Concern ◽  
Network Architectures ◽  
Network Simulator ◽  
Core Network ◽  
Network Technologies

The evolving standards of mobile communications, the wide variety of services they offer and the rapid growth of the Internet have made a merger of the two network technologies inevitable. One of the most prominent platforms that has been developed to facilitate this is the IP Multimedia Subsystem (IMS) concept. Many mobile communications standards integrate IMS as the main core network architecture and Quality of Service (QoS) is the main concern for customer satisfaction. A major approach to optimisation of QoS is the Differentiated Services scheme, and a simulation study of implementations of this is presented. The study covered an IMS core network architecture modelled with discrete-event network simulator software, with a Differentiated Services QoS scheme run over it with differing bearer traffic scenarios. Implications for core network architectures are discussed.

scholarly journals SIMULATION AND PERFORMANCE ANALYSIS EVALUATION FOR MULTIPATH EXTENSION OF AODV TO IMPROVE END TO END DELAY, ROUTE ERROR SENT, ROUTING LOAD AND PACKET DROP RATIO

2015 ◽  
pp. 89-94
Author(s):  
MANJHARI JAIN ◽  
AKHILESH WAOO ◽  
P. S. Patheja
Keyword(s):  
Routing Protocol ◽  
Routing Algorithm ◽  
Discrete Event ◽  
Simulation Software ◽  
Link Failure ◽  
Network Simulator ◽  
Optimal Paths ◽  
End To End Delay ◽  
End To End ◽  
Packet Drop

This paper describes improvement in standard routing protocol AODV for mobile ad-hoc networks. Our mechanism setups multiple optimal paths based on bandwidth and delay. It allows to store multiple optimal paths based on Bandwidth and delay. At time of link failure, it will switch to next available path. To set up multiple paths, we have used the information that we get in the RREQ packet and also send RREP packet to more than one path. It reduces overhead of local route discovery at the time of link failure and because of this End to End Delay and Drop Ratio decreases. The main feature of our mechanism is that it is simple, efficient. We evaluate through simulations the performance of the AODV routing protocol including our scheme and we compare it with HLSMPRA (hot link split multi-path routing algorithm) Algorithm. Indeed, our scheme reduces routing load, End to End Delay, route error sent, and Packet drop ratio. The simulations have been performed using network simulator OPNET-14.0. The network simulator OPNET is discrete event simulation software for network simulations which means it simulates events such as sending, receiving, forwarding and dropping packets.

scholarly journals Simulating unmanned aerial vehicle swarms with the UB-ANC Emulator

2019 ◽  
Vol 11 ◽  
pp. 175682931983766 ◽  
Author(s):  
Jalil Modares ◽  
Nicholas Mastronarde ◽  
Karthik Dantu
Keyword(s):  
Discrete Event ◽  
Micro Air Vehicles ◽  
Wireless Channel ◽  
Micro Air Vehicle ◽  
Mobility Control ◽  
Network Simulator ◽  
Packet Losses ◽  
Coverage Path Planning ◽  
Air Vehicle ◽  
Air Vehicles

Recent advances in multi-rotor vehicle control and miniaturization of hardware, sensing, and battery technologies have enabled cheap, practical design of micro air vehicles for civilian and hobby applications. In parallel, several applications are being envisioned that bring together a swarm of multiple networked micro air vehicles to accomplish large tasks in coordination. However, it is still very challenging to deploy multiple micro air vehicles concurrently. To address this challenge, we have developed an open software/hardware platform called the University at Buffalo’s Airborne Networking and Communications Testbed (UB-ANC), and an associated emulation framework called the UB-ANC Emulator. In this paper, we present the UB-ANC Emulator, which combines multi-micro air vehicle planning and control with high-fidelity network simulation, enables practitioners to design micro air vehicle swarm applications in software and provides seamless transition to deployment on actual hardware. We demonstrate the UB-ANC Emulator’s accuracy against experimental data collected in two mission scenarios: a simple mission with three networked micro air vehicles and a sophisticated coverage path planning mission with a single micro air vehicle. To accurately reflect the performance of a micro air vehicle swarm where communication links are subject to interference and packet losses, and protocols at the data link, network, and transport layers affect network throughput, latency, and reliability, we integrate the open-source discrete-event network simulator ns-3 into the UB-ANC Emulator. We demonstrate through node-to-node and end-to-end measurements how the UB-ANC Emulator can be used to simulate multiple networked micro air vehicles with accurate modeling of mobility, control, wireless channel characteristics, and network protocols defined in ns-3.

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