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University: University of North Carolina at Charlotte
Professor:
Dr. Jiang (Linda) Xie  and Dr. Ivan Howitt
Department: Department of Electrical and Computer Engineering

Research Activities Using OPNET:

Title: Performance Study of Handoffs in IEEE 802.11-based Wireless Mesh Networks --- Funded by US National Science Foundation (NSF)

This projects aims to study the performance of handoffs in IEEE 802.11-based hybrid wireless mesh networks (WMNs). Two network topologies are considered for hybrid WMNs: Internet-based infrastructure mesh networks and Internet-based client mesh networks. Since no existing handoff schemes are specifically designed for hybrid WMNs taking into consideration the multi-hop wireless links in both the wireless mesh backbone and mesh client networks, new handoff schemes for hybrid WMNs are designed. Handoff performance analysis is based on OPNET simulations and new OPNET models to enable handoff simulations, including both a layer-2 model that deals with channel scanning and access point association in mesh client networks and a layer-3 model that involves multi-hop route discovery and location registration in the wireless mesh backbone, are developed. A comprehensive study on the handoff performance and important factors affecting the handoff delay are investigated.

Authored Paper:

  • Weiyi Zhao and Jiang Xie, "A Novel Xcast-based Caching Architecture for Inter-gateway Handoffs in Infrastructure Wireless Mesh Networks," Proc. IEEE INFOCOM 2010, March 2010.

  • Weiyi Zhao and Jiang Xie, "Inter-gateway Cross-layer Handoffs in Wireless Mesh Networks," Proc. IEEE Global Communications Conference (GLOBECOM 2009), 2009.

  • Akshay M. Srivatsa and Jiang Xie, "A Performance Study of Mobile Handoff Delay in IEEE 802.11-Based Wireless Mesh Networks," Proc. IEEE International Conference on Communications (ICC 2008), pp. 2485-2489, May 2008.

 

Title: Predictive Resource Management Within Wireless Local Area Networks --- Funded by US National Science Foundation (NSF)

This project is focused on resource management among multiple wireless local area networks (WLANs) in order to make the best use of available resources and accommodate more users system-wide. Our premise is that resource management needs to incorporate predictive algorithms in order to improve their effectiveness. These algorithms need to incorporate knowledge of the WLAN's operational environment. OPNET will be used in evaluating the impact of WLAN's operational environment on network management. The wireless IEEE 802.11 modules in combination with the realism in RF propagation provided by the TMM and TIREM will allow the approach to be modeled and subsequently modeled with sufficient realism to provide an accurate evaluation.

Title: Predictive Protocol Management Within Wireless Sensor Networks

Energy efficiency is a major concern in the deployment of wireless sensor networks (WSNs). The complexity of this problem increases in the context of multi-hop WSNs. This project examines a novel approach for employing a predictive protocol model with contingency planning (PPM & CP). The premise is that by providing the WSN nodes with information concerning the operational environment leads to efficiencies in network operation. By efficiently providing the WSN nodes with information concerning the impact, the interference can have on its distributed routing protocol, energy efficient routes can be formulated within the network. OPNET will be an essential tool in developing and evaluating this concept.  The wireless ad-hoc modules in combination with the realism in RF propagation provided by the TMM and TIREM will allow the approach to be modeled and subsequently modeled with sufficient realism to provide an accurate simulation evaluation.

Teaching Activities Using OPNET:

ECGR4187/5187: Data Communications and Networking II, Fall Semester/Year

This is a senior-level course in data communications, with an emphasis on the network, transport, and application layers of the TCP/IP architecture. It is a continuing and complementary course to ECGR3123, which focuses on the physical layer, data link layer, and medium access control of the protocol stack. The goal of this course is to provide a senior-level introduction to the principles of data and computer communications. It covers fundamental networking concepts, preparing students for entry to advanced courses in computer and wireless networking. OPNET labs are required for this course to get students familiar with OPNET, allow students to explore network system behavior and predict responses of a simulated network to changes in input variables and system parameters.

 

ECGR3090/6090: Wireless Embedded Systems, Fall 2006/Spring 2008

A new graduate course, Wireless Embedded Systems, is offered at UNC-Charlotte, ECE Department, starting Fall 2006. The course aims at helping students to understand the issues and fundamentals required to develop and design wireless enabled embedded systems, i.e., the building blocks of wireless sensor networks. The intended pedagogical approach investigated by the project is based on a systematic integration of theory, laboratory experiments, and computer simulations based on OPNET, each approach supporting the other in order to engage the student's sense of discovery and to facilitate learning. The OPNET wireless modules in conjunction with the TMM and TIREM modules will be used to provide students with breadth in understanding the complexity associated with wireless system design. Due to the scope of the material to be covered, using visualization tools will assist students in grasping complex concepts more quickly and assist in the overall pedagogical goals and therefore the OPNET 3DNV visualization tool will be an essential tool.

 

OPNET Technologies, Inc. is a leading provider of solutions for managing networks and applications. OPNET's best-in-class solutions address application troubleshooting, application monitoring, network monitoring, network configuration management, network planning , and network simulation. OPNET’s solutions have been operationally proven in thousands of customer environments worldwide, including corporate and government enterprises, government and defense agencies, network service providers, and network equipment manufacturers. For more information about OPNET and its products, visit http://www.opnet.com/.