The research activities in this cluster target the realization of a ubiquitous sensing and computing environment. Thus, research in this field encompasses diverse topics from the sensing layer up to context-aware applications. At the sensing layer, the focus is on protocols and techniques that achieve reliable and efficient data delivery. At the layer above the sensing layer, which is the networking layer, we investigate connectivity issues in order to ensure seamless communication and mobility support. Finally, the application layer focuses on the design of intelligent and context-aware applications that serve a wide range of interests.

Grants: DAAD-BMBF “Sustainable Cooperation Between the GUC and German Universities

Research Topics & Projects

Networked Appliances, Applications and Sensing Systems for the Smart City (NA2STY)

This project investigates key IoT challenges such as heterogeneity , connectivity and mobility support and attempts to propose novel solutions that target the realization of pervasive sensing and computing environments in smart cities. Our research considers a comprehensive scope that includes hardware design, sensor network protocols, semantic architectures, and context-awareness techniques for intelligent applications. In addition, we incorporate fog computing architectures to support QoS by implementing storage and processing resources near the edge. By targeting such a comprehensive view, our main objective will be to produce marketable products that can support efficient large-scale data collection from heterogeneous sources and can leverage smart applications with challenging QoS requirements.

Grants: Submitted to GE-SEED

iTram: an Information and Communication Technology Framework for Intelligent Transportation

This project proposes a complete framework for intelligent transportation using ICT. The main challenges addressed by this framework are: detecting traffic violators, providing solutions for traffic management, mapping road surface conditions, providing real-time data to drivers for dynamic trip management, and providing non-real-time information regarding traffic patterns for planning trips ahead of time.

Grants: Submitted to GERF

An IoT Framework for Smart Energy Management

In the last 4 years, Egypt has been facing an escalating energy crisis, coupled with a severe economic downturn. This has slowed down expansions in the power grid necessary to meet growing consumption. Fortunately, the world has been witnessing rapid technological advancements in the fields of smart metering infrastructure (AMI) and the Internet of Things (IoT). These technologies provide the necessary platform for collecting energy consumption data, leading to efficient energy management at low cost. Thus, this project proposes a complete framework for smart energy management based on IoT technology. The framework is composed of a data collection plane consisting of a population of smart meters and diverse sensors (measuring attributes of relevance to energy management such as consumption of individual appliances), a data networking plane for connecting sensors to the cloud, and a data security and privacy plane. The proposed research will consider the new IEEE 802.15.4g standard (under development) for smart meters, Bluetooth Low Energy (BLE) and ZigBee sensors, and a Software-Defined Networking (SDN) platform for internetworking of sensors. The integration of these technologies into one system has never before been attempted. Within this holistic system, novel solutions will be proposed. In order to ensure these solutions are realistic and implementable, the results of the research will be integrated in a testbed that will represent a modern smart energy management system. Such a system has the potential of playing a crucial role in addressing the energy challenges in Egypt.

Grants: Submitted to GERF

Smart GUC Campus

As a testbed for our applications and systems, a smart campus environment will be developed at the GUC. Here, graduate and undergraduate students will have the chance to work on developing and testing IoT solutions. The testbed will also be used to integrate many of the proposed solutions in one autonomous and ubiquitous system. The ultimate goal of this system is to provide a variety of services to students, faculty, and administrative personnel.


R. Helal and A. El Mougy, "An energy-efficient service discovery protocol for the IoT based on a multi-tier WSN architecture," IEEE Conference on Local Computer Networks, 2015. [2] A. El Mougy, M. Ibnkahla, and L. Hegazy, "Software-Defined Wireless Network Architectures for the Internet of Things," IEEE Conference on Local Computer Networks, 2015.
A. El Mougy, M. Ibnkahla, and L. Hegazy, "Software-Defined Wireless Network Architectures for the Internet of Things," IEEE Conference on Local Computer Networks, 2015.
A. El Mougy, "On the Integration of Software-defined and Information-centric Networking Paradigms," IEEE International Symposium on Signal Processing and Information Technology, 2015.
A. El-Mougy, M. Ibnkahla, G. Hattab, and W. Ejaz, “Reconfigurable wireless Networks,” Proceedings of the IEEE, 2015.
A. El-Mougy and M. Ibnkahla, “A context and application-aware framework for resource management in dynamic collaborative wireless M2M networks,” Journal of Network and Computer Applications, 2014.