Research Statement

Conducted Research in the area of Network: Overlay Network, Mobile Adhoc Network, Wireless Sensor .Network and High-speed wireless network physical layer design in the last Five year

Research Statement

Complex networks have been playing an increasingly important role in Computer Science.The Internet, the World Wide Web, Facebook, and eBay are examples of some of the myriadtypes of networks that are a part of everyday life for many people.

The success of the internet owes much to the interoperability and connectivity supported by the ubiquitous adoption of the IP protocols and adherence to the "end-to-end" (e2e) design principles that have governed internet architecture for so long. Though, the internet's success has also posed significant problems like internet growth has brought heterogeneous services (not everyone needs or wants the same capabilities); new needs and requirements (support for real-time services or enhanced security); and complexity and size issues (arising from the sheer magnitude of today's internet measured in terms of traffic and connectivity). To coincide with these challenges, the internet needs to continue to evolve. In an evolution that looks at times like history repeating itself, the internet is now proliferation its own collection of "overlay" networks.

· An overlay network is a computer network which is built on the top of another network. Overlay networks can be mainly classified into two types of networks, Peer-to-Peer networks and Content Delivery Networks (CDN). Peer-to-peer networks have gained a lot of research attention in recent years for various reasons. Peer-to-Peer systems support the dissemination of information on the Internet, including multimedia streams with quality of service requirements. CDNs have also evolved to overcome the inherent limitations of the internet in terms of Quality of Service (QoS) perceived by users. They provide services that and High Speed Network in the last three year are AODV, DSDV. Similarly there are various performance evaluation metrics are available for wireless networks. The most popular ones are throughput, PSNR and average PSNR. In this research we purposed a modified AODV algorithm named as Enhanced AODV (EAODV) and NS2 on Fedora environment is used for  simulation  which included  two mobile nodes with four types of traffic VoIP, video, CBR and FTP for creating heavy load and to simulate the protocols.

· In wireless network the network topology may change rapidly and unpredictably over time. In many commercial and industrial applications, it often needs to monitor and collect the information about the environment phenomenon like temperature, humidity, vibration, acceleration etc. Sensors process locally the acquired data up-to certain extent, and send the outcome or aggregated features to the collection points, named sink or base station. In some of these applications, it would be difficult or expensive to monitor using wired sensors, for this case, wireless sensor networks are used.

A wireless sensor network (WSN) provides low cost solutions and consists of a number of sensors distributed across a geographical area. Each sensor node has wireless communication capability and some level of intelligence for signal-processing and networking of data. A persistent power supply is needed to the device to perform the programmed task. The power source often consists of a battery with a limited energy capacity. Recharging or replacing these batteries in a large geographical environment is not a feasible task. In this research we have identified important issues pertaining to energy consumption while data communication. We have proposed an energy efficient communication system model and suggested mathematical equations (ILP) for power optimization. We have given a different energy efficient addressing scheme for sensor nodes in a network. A new addressing scheme is implemented in Zigbee network, which is found to be very energy efficient. The simulation results show that the new scheme performs better than the existing tree routing protocol in Zigbeenetworks.We have proposed an Under Water Density Based Clustered Sensor Network (UWDBCSN) scheme using heterogeneous sensors. The scheme utilizes two types of sensors: one having high energy capacity, working as cluster head, having small quantity and other are ordinary sensors in huge quantity. Further cluster-head selection is based on node degree i.e. the density of the sensors in a region. The proposed scheme is found to be more energy efficient helps in extending the life time of underwater sensor networks.Also we have proposed Spreading Factor Based Addressing Tree protocol (SFBA) architecture. It comprises of moveable sinks and sensors node that can be randomly deployed in the network. The movement of sinks is limited to their repositioning to certain feasible site. For SFBA protocol, we have shown energy consumption model for optimization and proposed an efficient data collection algorithm. SFBA is compared with the two existing protocols that belong to the same family called Tree Routing (TR) and Enhanced Tree Routing (ETR). These three protocols are compared on two grounds, one is hop-count from source sensor node to the sink node, second is per-hop energy consumption. The simulation results show that the proposed protocol SFBA has the lowest hop-count compare to TR and ETR. ETR does frequent multi-hoping to find neighbor node to find shortest path to the sink, SFBA on the other hand reduces hop-count, excessive multi-hoping and prevents flooding of path search messages in a dense sensor network, and thus saves energy of the sensor nodes.

· A wireless Ad-hoc network consists of wireless nodes communicating without the need of centralized administration, in which all nodes potentially contribute to routing process. A user can move anytime in an ad-hoc network scenario and as a result, such a network needs to have routing protocols which can adapt dynamically changing topology. This research aims to perform QoS based performance evaluation of three commonly used mobile ad hoc routing protocols namely DSR, AODV and TORA. The performance evaluation is considered under varying network sizes, node mobility, total traffic received, traffic load, route discovery time, number of hops per route, delay and throughput. In this study OPNET Modeler 10.5 is used to model the network and to simulate the protocols.

Office Hours

Monday 10AM-12 NOON

Thursday 9AM-11AM


CCIS Building, Room No 024-1-20-3

College of Computer and Information Science

Majmaah University, Majmaah

Kingdom of Saudi Arabia 


Contact Numbers


[email protected]

إحصائية الموقع

عدد الصفحات: 15

البحوث والمحاضرات: 3

الزيارات: 4135