Networks

Research Projects/Thesis (Current)

The following are the current research projects/thesis being undertaken at NRL.

Knowledge based routing for Delay Tolerant Networks

Ph.D Candidate: Shabbir Ahmed
Description:
Not Avaliable.

On Reducing Routing Overhead in MANET

Ph.D Candidate: Quan Jun (Jerry) Chen
Description:
Reducing Routing overhead is one of the most important tasks in wireless network. Particularly, in Mobile Adhoc Network (MANET), where topology changes frequently, routing protocols may generate considerable routing overhead when conquering the uncertainty of mobile nodes. Excessive routing overhead consumes valuable resources, such as bandwidth and power, and causes frequent packet collisions, which finally degrade network throughput and end-to-end delay.
In our work, we decompose routing protocols into two fundamental building blocks: 1) beacon broadcasting (route maintenance) and 2) flooding rebroadcasting (route discovery), and we propose two frameworks respectively to reduce routing overhead occurred. For the first one, we propose the framework of “Adaptive Beacon Broadcasting (ABB)”, which adapts beacon broadcasting to nodes mobility and traffic load. For the second one, by exploiting the relationship between flooding distance and the number of hops, we propose “Distance-based Flooding Restriction (DFR)”. Both frameworks are evaluated by theoretical model and simulation. The results show ABB and DFR can significantly reduce routing overhead without compromising other performance metrics.

Routing and Channel Assignment In Wireless Mesh Network

Ph.D Candidate: Yang Gao
Description:
Not Avaliable.

Manging Service Disruption in Moving Networks

Ph.D Candidate: Mohammed Baseem Hassan
Description:
This thesis aims to entirely address the service disruption problem in moving networks, by proposing solutions that target the two main causes of this problem. In this thesis, a comprehensive advance
resource reservation framework is proposed, to deal with the limitation of the wireless resources at the backhaul network. The framework features fast and scalable access to the reservation data. All the key operational and implementation issues of the framework are addressed. A complete implementation-case scenario with an existing backhaul network is investigated. This thesis also proposes an elegant solution to the bandwidth resource demand prediction problem, whereby efficient reservation of the wireless resources can be guaranteed. This thesis moves on to propose a number of admission control schemes, to tackle the temporary network disconnections problem. The proposed admission control schemes range from basic to complex schemes that exploit the trip knowledge of public transport system, in both proxy and non-proxy contexts. The performance of all proposed schemes have been evaluated using means of mathematical modeling and simulation validation. Finally, the solutions presented in thesis constitute a big motivational step to the moving network operators to manage service disruption in future moving networks.

Radio Resource Control for a Socially-Conscious Wireless Mesh Network

Ph.D Candidate: Joo Ghee Lim
Description:
Wireless Mesh Network (WMN) provides the potential for the extension of a wireless network beyond a single-hop range by allowing traffic to travel over multiple hops via a number of wireless routers. However, due to the shared nature of the wireless medium, a key challenge is the management of the interference experienced by the mesh routers. While interference from nodes belonging to the same network has been widely studied, interference can also come from sources external to the network. We believe that the latter will contribute more and more to the bottleneck performance of an infrastructure backbone WMN, as more wireless devices are being deployed by service providers, organizations and individuals. We propose to use a game theoretical approach to study the interaction between a WMN and other same-technology interferers. Each network is assumed to have a number of capabilities to control its radio resources, e.g. channel assignments, transmit power control, link adaptation. By representing the interaction between the WMN and interferers as a non-cooperative game and the controls as possible strategies, we seek to develop a radio resource control algorithm where a WMN is able to co-exist with other same-technology network in a socially-conscious manner -- achieving the best-possible network capacity while not degrading the performance of other co-located networks.

Securing Network Layer in Wireless Mesh Networks

Ph.D Candidate: Anjum Naveed
Description:
This research is geared towards preventing, detecting and counteracting the network layer attacks, leading to the self healing wireless mesh networks. Assuming the MAC layer security (link level confidentiality, integrity and authentication) is in place, we intend to propose secure routing and channel assignment algorithm coupled with end-to-end confidentiality and integrity with in WMN. We also intend to propose the use of intrusion detection and automated response (Recovery) to ensure the self healing and self administered WMN. These components combined together, can ensure the availability of the network as a service for higher layers.

R-MAC: Traffic Adaptive Hybrid MAC for wireless mesh networks

Ph.D Candidate: Yuvraj Kris Rana
Description:
To develop traffic adaptive hybrid MAC for wireless mesh networks. The requirement for wireless mesh networks MAC layer is to be able to support ad hoc and high bandwidth reqrements over muti-hop, multi channel/radio wireless environments.

 

Resilient Multicast in Wireless Mesh Networks

Ph.D Candidate: Xin Zhao
Description:
To support reliable multicast routing in wireless mesh networks, it is important to protect multicast sessions against link or node failures. Although there were some research on multicast in wired and mobile ad hoc networks, all of them are not suitable for wireless mesh networks.The issue of protecting multicast sessions in wireless mesh networks is a new problem to the best of our knowledge. The challenge remains distributed multicast routing protocols with resilience, and multicast in multi-radio multi-channel scenario.

 

 

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