Optical wireless communications (OWC) has gained lots of interest to mitigate the spectrum scarcity and the ever-exploding demand on wireless data traffic. OWC offers alternative transmission options through infrared, visible light, and ultraviolet bands. The superiority of OWC systems over their radio frequency counterparts appears clearly in terms of area spectral efficiency (SE), which in turn gives it the advantage to be one of the key promising technologies for 5G networks.
Data center networks (DCNs) are essential infrastructures to embrace the era of the highly diversified massive amount of data generated by emerging technological applications. In order to store and process such a data deluge, today’s DCNs have to deploy enormous length of wires to interconnect a plethora of servers and switches. Unfortunately, wired DCNs exposes several drawbacks such as cabling cost and complexity, low space utilization due to the cable bundles, and insufficiency to overcome chronic oversubscription and hotspot problems.
This project aims at developing scientific and technological advances required for the deployment of real-time applications as part of the IoT paradigm. To provide support for real-time IoT traffic, we need to redesign various elements of today's Internet. This include how we reduce the impact of packet drops, how we route and schedule packets, and how we provide end-to-end support for such applications. The proposed research will focus on each of the above three issues related to IoT traffic control and communication, using real-time applications as the target domain.
Software Defined Networking (SDN) is an emerging paradigm in computer networking that allows a logically centralized software program to control the behavior of the entire network. The SDN controller is a critical piece in this structure, where it is considered the mastermind of SDN networks. Thus, its failure will cause the entire network to fail. In order to overcome the problem of the overloaded controller failure in SDN, this project aims at proposing a controller offloading solution based on a prediction module that anticipates the presence of harmful long-term load.
The expansion of wireless usage in different applications has resulted in a tremendous increase in energy consumption and this left a significant environmental effect. According to latest statistics reported, energy costs to operate wireless devices accounts for half of the operating expenses for any wireless deployment.