Next Generation Networks

Engineering Undergraduate Programs

Next Generation Networks

Growing numbers of systems such as vehicles, environment monitoring sensors, wearable health monitoring devices, augmented reality using devices as well as computers and smartphones are being connected to the Internet at rapid rate realizing the idea of the Internet of Things (IoT). Parallel to this, cloud computing arises as a new paradigm that aims to provide computing environments which are flexible, reliable, and with good quality of service (QoS). Its ability of transforming the way information is going to be processed, exchanged, stored, and at the same time the highly available and inexpensive computing power it offers, makes the cloud interesting for researchers, engineers, service providers, developers, and users. The ability of cloud computing to take on and interpret vast amounts of data is one of the catalysts that have facilitated the rapid expansion of IoT. Therefore cloud computing and IoT have become two very closely affiliated future internet technologies.

The investment through the use of IoT for various business areas has also been quite impressive. Companies are interested to employ IoT for increasing customer satisfaction, improving the overall quality and of course to reduce the costs involved. When the most valuable cases to involve IoT solutions are investigated, the analysis shows that the systems with ability to use sensors for the prediction of reliability-related features of machinery, self-optimizing production, automated inventory and supply chain management, remote health monitoring, smart grids and meters, track and trace, connected cards, distributed generation and storage, fleet management and demand response are the most popular ones.

Faculty Members:

Enver Ever

Related Projects:

2019: NU Faculty-development competitive research grants program, Nazarbayev University Grant Number-110119FD4543: Working title of the project Effective Use of Heterogeneous Wireless Multimedia Sensor Networks for Surveillance Applications. Principal Investigator (PI) Prof. Dr. Adnan Yazici, Co-Principal Investigator Dr. Enver Ever (Co- PI).

2015: SRP-Intercampus Grant, Northern Cyprus FEN-16-k-6: Title: Automated Virtual Profile Creation via Mobile Sensory Data over the Cloud: An Exploratory Research. This application is elaborated throughout cooperation between project coordinators Assist. Prof. Enver Ever at Middle East Technical University Northern Cyprus Campus and Assoc. Prof. AysuBetin-Can fromMiddle East Technical University Ankara campus. (Principle Investigator).

Related Publications:

Journal Publications:        

  1. Al-Turjman, F., Ever E., and Zahmatkesh, H., (2019) "Small Cells in the Forthcoming 5G/IoT: Traffic Modelling and Deployment Overview." IEEE Communications Surveys & Tutorials.

  2. Kizilkaya, B., Caglar, M.,  Al-Turjman, F. and Ever, E..(2018) "Binary Search Tree Based Hierarchical Placement Algorithm for IoT Based Smart Parking Applications." Internet of Things.

  3. Alchihabi A., Dervis A., Ever E., Al-Turjman F., (2018) “A generic framework for optimizing performance metrics by tuning parameters of clustering protocols in WSNs”. Wireless Networks, 2018. ISSN: 1022-0038. DOI: 10.1007/s11276-018-1665-8.

  4. Malavolta, I., Mostarda, L., Muccini, H., Ever, E., Doddapaneni, K., Gemikonakli, O., (2018), "A4WSN: an architecture-driven modelling platform for analysing and developing WSNs.", Software & Systems Modeling, (2018), ISSN:1619-1366, DOI: 10.1007/s10270-018-0687-0.

  5. Al-Turjman F., Ever E., and Zahmatkesh H., (2017) “Green Femtocells in the IoT Era: Traffic Modeling and Challenges -- An Overview”, IEEE Network, (the journal is in SCI Core), Volume 31, Issue 6, ISSN: 0890-8044, pp: 48-55. DOI: 10.1109/mnet.2017.1700062.

  6. Ever, E. (2017). "Performability analysis of cloud computing centers with large numbers of servers." The Journal of Supercomputing, Volume 73, Issue 5, ISSN: 0920-8542, pp: 2130-2156. DOI:10.1007/s11227-016-1906-5.

  7. Doddapaneni, K., Tasiran, A., C., Ever, E., Omondi, F., A.,  Shah, P., Mostarda, L., Gemikonakli, O.  (2018).   “Does the Assumption of Exponential Arrival Distributions in Wireless Sensor Networks Hold?” International Journal of Sensor Networks, Volume 26, Issue 2, ISSN: 1748-1279, pp: 81-100. doi: 10.1504/IJSNET.2016.10001413

Book Chapters:

  1. Ever, Enver. "Performability Analysis Methods for Clustered WSNs as Enabling Technology for IoT." In Performability in Internet of Things, pp. 1-19. Springer, Cham, 2019.

  2. Ali, Kamran, Huan X. Nguyen, Purav Shah, Quoc-Tuan Vien, and Enver Ever. "Internet of Things (IoT) Considerations, Requirements, and Architectures for Disaster Management System." In Performability in Internet of Things, pp. 111-125. Springer, Cham, 2019.

  3. Al-Turjman, Fadi, Enver Ever, and Hadi Zahmatkesh. "Small Cells in the Forthcoming 5G/IoT: Traffic Modeling and Deployment Overview." In Smart Things and Femtocells, pp. 17-82. CRC Press, 2018.

International Conference Papers: 

  1. Poncha, L. J., S. Abdelhamid, S. Alturjman, E. Ever, and F. Al-Turjman. "5G in a Convergent Internet of Things Era: An Overview." In 2018 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2018.

  2. Kizilkaya, Burak, Mehmet Caglar, Fadi Al-Turjman, and E. Ever. "An Intelligent Car Park Management System: Hierarchical Placement Algorithm Based on Nearest Location." In 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2018.

  3. F. Al-Turjman, E. Ever, S. Alturjman, “Identification Framework for Smart Environments in the Era of Cloud-IoT”, In Proc. of the Inter. Conf. on Internet of Things, Data and Cloud Computing (ICC), University of Cambridge, United Kingdom, 2017.

  4. F. Al-Turjman, A. Betin-Can, E. Ever, S. Alturjman, (2016), “Ubiquitous Cloud-based Monitoring via a Mobile App in Smartphones: An Overview”, IEEE International Conference on Smart Cloud, New York, USA, November 18-20,pp.1-6, 2016.

  5. Omondi, F. A., Shah, P., Gemikonakli, O., and Ever, E., (2015), “An analytical model for bounded WSNs with unreliable cluster heads and links”. In Local Computer Networks (LCN), 2015 IEEE 40th Conference on, pp. 201-204. IEEE, 2015.

  6. Omondi, F. A., Shah, P., Gemikonakli, O., and  Ever, E., (2015), “A Framework for Energy based Performability models for Wireless Sensor Networks”, in Proceedings of, IEEE 29th International Conference on Advanced Information Networking and Applications Workshops (WAINA), Korea, March 24-27, 2015.

  7. Doddapaneni, K., Shah, P., Ever, E., Tasiran, A., Omondi, F.A., Mostarda, L., and Gemikonakli, O., (2015), “Packet Arrival Analysis in Wireless Sensor Networks”', in Proceedings of, IEEE 29th International Conference on Advanced Information Networking and Applications Workshops (WAINA), Korea, March 24-27, 2015.

  8. Omondi, F.,A, Ever, E., Shah, P., Gemikonakli, O., and Mostarda, L., (2014), “Performability Modelling and Analysis of Clustered Wireless Sensor Networks with Limited Storage Capacities”, in Proceeding of, The 7th International Conference on Internet and Distributed Computing Systems (IDCS2014), Calabria, Italy, September 22-24, 2014.  ISBN: 978-3-319-11692-1.

  9. Doddapaneni, K., Omondi, F., Ever, E., Shah, P., Gemikonakli, O., and Gagliardi, R., (2014), “Deployment Challenges and Developments in Wireless Sensor Networks Clustering”, in Proceedings of, IEEE 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA), Victoria, Canada, May 13-16, 2014. ISBN: 978-1-4799-2652-7.

  10. Omondi, F. A., Ever, E., Shah, P.,  and Gemikonakli, O., (2013), "Modelling Wireless Sensor Networks for Performability Evaluation", in Proceedings of, 12thInternational Conference on Ad-hoc, Mobile and Wireless Networks (ADHOC-NOW 2013), Wrocław, Poland, 8-10 July, 2013.