Academic staff
Kormentzas Georgios
Personal Information
Kormentzas Georgios
Professor
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Journal Publications
[1]
S. Polymeni, D. N. Skoutas, G. Kormentzas, C. Skianis, A FinTech-Aligned Optimization Framework for IoT-Enabled Smart Agriculture to Mitigate Greenhouse Gas Emissions, Information, Vol. 16, No. 9, pp. 797, 2025, MDPI, https://doi.org/10.3390/info16090797, IF = 2.9
S. Polymeni, D. N. Skoutas, P. Sarigiannidis, G. Kormentzas, C. Skianis, Smart Agriculture and Greenhouse Gas Emission Mitigation: A 6G-IoT Perspective, Electronics, Vol. 13, No. 8, pp. 1480, 2024, MDPI, https://www.mdpi.com/2079-9292/13/8/1480, IF = 2.6
Abstract:
Smart farming has emerged as a promising approach to address the agriculture industry’s significant contribution to greenhouse gas (GHG) emissions. However, the effectiveness of current smart farming practices in mitigating GHG emissions remains a matter of ongoing debate. This review paper provides an in-depth examination of the current state of GHG emissions in smart farming, highlighting the limitations of existing practices in reducing GHG emissions and introducing innovative strategies that leverage the advanced capabilities of 6G-enabled IoT (6G-IoT). By enabling precise resource management, facilitating emission source identification and mitigation, and enhancing advanced emission reduction techniques, 6G-IoT integration offers a transformative solution for managing GHG emissions in agriculture. However, while smart agriculture focuses on technological applications for immediate efficiency gains, it also serves as a crucial component of sustainable agriculture by providing the tools necessary for long-term environmental supervision and resource sustainability. As a result, this study also contributes to sustainable agriculture by providing insights and guiding future advancements in smart farming, particularly in the context of 6G-IoT, to develop more effective GHG mitigation strategies for smart farming applications, promoting a more sustainable agricultural future.
Smart farming has emerged as a promising approach to address the agriculture industry’s significant contribution to greenhouse gas (GHG) emissions. However, the effectiveness of current smart farming practices in mitigating GHG emissions remains a matter of ongoing debate. This review paper provides an in-depth examination of the current state of GHG emissions in smart farming, highlighting the limitations of existing practices in reducing GHG emissions and introducing innovative strategies that leverage the advanced capabilities of 6G-enabled IoT (6G-IoT). By enabling precise resource management, facilitating emission source identification and mitigation, and enhancing advanced emission reduction techniques, 6G-IoT integration offers a transformative solution for managing GHG emissions in agriculture. However, while smart agriculture focuses on technological applications for immediate efficiency gains, it also serves as a crucial component of sustainable agriculture by providing the tools necessary for long-term environmental supervision and resource sustainability. As a result, this study also contributes to sustainable agriculture by providing insights and guiding future advancements in smart farming, particularly in the context of 6G-IoT, to develop more effective GHG mitigation strategies for smart farming applications, promoting a more sustainable agricultural future.
S.Plastras, D. Tsoumatidis, D. N. Skoutas, A. Rouskas, G. Kormentzas, C. Skianis, Non-Terrestrial Networks for Energy-Efficient Connectivity of Remote IoT Devices in the 6G Era: A Survey, Sensors, Vol. 24, No. 4, pp. 40, 2024, MDPI, https://www.mdpi.com/1424-8220/24/4/1227, IF = 3.9
Abstract:
The Internet of Things (IoT) is gaining popularity and market share, driven by its ability to connect devices and systems that were previously siloed, enabling new applications and services in a cost-efficient manner. Thus, the IoT fuels societal transformation and enables groundbreaking innovations like autonomous transport, robotic assistance, and remote healthcare solutions. However, when considering the Internet of Remote Things (IoRT), which refers to the expansion of IoT in remote and geographically isolated areas where neither terrestrial nor cellular networks are available, internet connectivity becomes a challenging issue. Non-Terrestrial Networks (NTNs) are increasingly gaining popularity as a solution to provide connectivity in remote areas due to the growing integration of satellites and Unmanned Aerial Vehicles (UAVs) with cellular networks. In this survey, we provide the technological framework for NTNs and Remote IoT, followed by a classification of the most recent scientific research on NTN-based IoRT systems. Therefore, we provide a comprehensive overview of the current state of research in IoRT and identify emerging research areas with high potential. In conclusion, we present and discuss 3GPP’s roadmap for NTN standardization, which aims to establish an energy-efficient IoRT environment in the 6G era.
The Internet of Things (IoT) is gaining popularity and market share, driven by its ability to connect devices and systems that were previously siloed, enabling new applications and services in a cost-efficient manner. Thus, the IoT fuels societal transformation and enables groundbreaking innovations like autonomous transport, robotic assistance, and remote healthcare solutions. However, when considering the Internet of Remote Things (IoRT), which refers to the expansion of IoT in remote and geographically isolated areas where neither terrestrial nor cellular networks are available, internet connectivity becomes a challenging issue. Non-Terrestrial Networks (NTNs) are increasingly gaining popularity as a solution to provide connectivity in remote areas due to the growing integration of satellites and Unmanned Aerial Vehicles (UAVs) with cellular networks. In this survey, we provide the technological framework for NTNs and Remote IoT, followed by a classification of the most recent scientific research on NTN-based IoRT systems. Therefore, we provide a comprehensive overview of the current state of research in IoRT and identify emerging research areas with high potential. In conclusion, we present and discuss 3GPP’s roadmap for NTN standardization, which aims to establish an energy-efficient IoRT environment in the 6G era.
S. Polymeni, S.Plastras, D. N. Skoutas, G. Kormentzas, C. Skianis, The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review, Electronics, Vol. 12, No. 12, pp. 24, 2023, MDPI, https://www.mdpi.com/2079-9292/12/12/265..., IF = 2.9
Abstract:
Throughout human history, agriculture has undergone a series of progressive transfor- mations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied on primitive tools, to Agriculture 2.0, which incorporated machinery and advanced farming practices, and subsequently to Agriculture 3.0, which emphasized mechanization and employed intelligent machinery and technology to enhance productivity levels. To further automate and increase agricultural productivity while minimizing agricultural inputs and pollutants, a new ap- proach to agricultural management based on the concepts of the fourth industrial revolution is being embraced gradually. This approach is referred to as “Agriculture 4.0” and is mainly implemented through the use of Internet of Things (IoT) technologies, enabling the remote control of sensors and actuators and the efficient collection and transfer of data. In addition, fueled by technologies such as robotics, artificial intelligence, quantum sensing, and four-dimensional communication, a new form of smart agriculture, called “Agriculture 5.0,” is now emerging. Agriculture 5.0 can exploit the growing 5G network infrastructure as a basis. However, only 6G-IoT networks will be able to offer the technological advances that will allow the full expansion of Agriculture 5.0, as can be inferred from the relevant scientific literature and research. In this article, we first introduce the scope of Agriculture 5.0 as well as the key features and technologies that will be leveraged in the much-anticipated 6G-IoT communication systems. We then highlight the importance and influence of these developing technologies in the further advancement of smart agriculture and conclude with a discussion of future challenges and opportunities.
Throughout human history, agriculture has undergone a series of progressive transfor- mations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied on primitive tools, to Agriculture 2.0, which incorporated machinery and advanced farming practices, and subsequently to Agriculture 3.0, which emphasized mechanization and employed intelligent machinery and technology to enhance productivity levels. To further automate and increase agricultural productivity while minimizing agricultural inputs and pollutants, a new ap- proach to agricultural management based on the concepts of the fourth industrial revolution is being embraced gradually. This approach is referred to as “Agriculture 4.0” and is mainly implemented through the use of Internet of Things (IoT) technologies, enabling the remote control of sensors and actuators and the efficient collection and transfer of data. In addition, fueled by technologies such as robotics, artificial intelligence, quantum sensing, and four-dimensional communication, a new form of smart agriculture, called “Agriculture 5.0,” is now emerging. Agriculture 5.0 can exploit the growing 5G network infrastructure as a basis. However, only 6G-IoT networks will be able to offer the technological advances that will allow the full expansion of Agriculture 5.0, as can be inferred from the relevant scientific literature and research. In this article, we first introduce the scope of Agriculture 5.0 as well as the key features and technologies that will be leveraged in the much-anticipated 6G-IoT communication systems. We then highlight the importance and influence of these developing technologies in the further advancement of smart agriculture and conclude with a discussion of future challenges and opportunities.
[1]
S. Polymeni, D. N. Skoutas, G. Kormentzas, C. Skianis, FINDEAS: A FinTech-based Approach on Designing and Assessing IoT Systems, IEEE Internet of Things Journal, 2022, IEEE, DOI: 10.1109/JIOT.2022.3195770, IF = 11.043
[1]
K. Skiadopoulos, A. Tsipis, K. Giannakis, G. Koufoudakis, E. Christopoulou, K. Oikonomou, G. Kormentzas, I. Stavrakakis, Synchronization of Data Measurements in Wireless Sensor Networks for IoT Applications , Ad Hoc Networks,, Vol. 89, pp. 47-57, 2019, Elsevier
[1]
Y. Kryftis, G. Mastorakis, C. X. Mavromoustakis, J.M.Batalla, E. Pallis, G. Kormentzas, Efficient entertainment services provision over a novel network architecture, IEEE Wireless Communications , Vol. 23, No. 1, pp. 14-21, 2016
[1]
G. Kormentzas, GAIA Bus: Cloud Computing Services for Agro-Food Chain, International Journal of Wireless Networks and Broadband Technologies (IJWNBT), Vol. 4, No. 1, pp. 16-28., 2015
[1]
A. Bourdena, E. Pallis, G. Kormentzas, G. Mastorakis, A prototype cognitive radio architecture for TVWS exploitation under the real time secondary spectrum market policy, Physical Communication, Elsevier, Vol. 10, pp. 159-168, 2014
[2]
A. Bourdena, E. Pallis, G. Kormentzas, G. Mastorakis, Efficient Radio Resource Management Algorithms in Opportunistic Cognitive Radio Networks, Emerging Telecommunication Technologies, Wiley, Vol. 25, No. 8, pp. 785-797, 2014
[3]
A. Bourdena, C. X. Mavromoustakis, G. Kormentzas, E. Pallis, G. Mastorakis, C. X. Mavromoustakis, A Resource Intensive Traffic-Aware Scheme using Energy-efficient Routing in Cognitive Radio Networks, Future Generation Computer Systems, Elsevier,, Vol. 39, pp. 16-28, 2014
[4]
G. Kormentzas, A Large-Scale Distributed Federated Experimental Facility Offering Simulation Services for Next Generation Wireless Networks , Information Engineering (IE), Vol. 3, pp. 1-11, 2014
[5]
C. X. Mavromoustakis, A. Bourdena, G. Mastorakis, E. Pallis, G. Kormentzas, An Energy-Aware Scheme for Efficient Spectrum Utilization in a 5G Mobile Cognitive Radio Network Architecture, Springer Telecommunication Systems Journal, 2014
[1]
A. Bourdena, E. Pallis, G. Kormentzas, G. Mastorakis, Opportunistic TV White Spaces Exploitation through Efficient Radio Resource Management Algorithms in Cognitive Radio Networks, Transactions on Emerging Telecommunications Technologies (ETT), High Performance Mobile Opportunistic Systems, 2013, Wiley, (to_appear)
[2]
A. Bourdena, G. Mastorakis, E. Pallis, G. Kormentzas, A Routing Protocol for Enhanced Efficiency in Cognitive Radio Networks, Journal of Communications and Computers, Vol. 10, pp. 675-685, 2013, (to_appear)
[1]
J. Alonso-Zárate, L. Alonso, G. Kormentzas, R. Tafazolli, C. Verikoukis, Throughput Analysis of a Cooperative ARQ Scheme in the Presence of Hidden and Exposed Terminals, Journal of Mobile Networks and Applications, Vol. 17, No. 2, pp. 258-266, 2012, Springer
[1]
N. Dimitriou, L. Sarakis, D. Loukatos, G. Kormentzas, C. Skianis, Vertical Handover Framework for Future Collaborative Wireless Networks, International Journal of Network Management, Vol. 21, No. 6, pp. 548-564, 2011, indexed in SCI-E
[1]
I. Maglogiannis, C. Doukas, G. Kormentzas, T. Pliakas, Wavelet-based Compression with ROI Coding Support for Mobile Access to DICOM Images over Heterogeneous Radio Networks, IEEE Transactions on Information Technology in Biomedicine, 2009, IEEE, (to_appear)
[2]
G. Mastorakis, E. Pallis, G. Kormentzas, A DVB/IP QoS aware Backhaul Networking Environment, Wireless Personal Communications, 2009, (to_appear)
[1]
G. Gardikis, S. Orfanos, G. Kormentzas, E. Pallis, A. Kouris, Dynamic IP Configuration of Terminals in Broadcasting Networks, Computer Networks, Vol. 52, pp. 292–302, 2008
[2]
T. Pliakas, G. Kormentzas, C. Skianis, End-to-end QoS issues of MPEG-4 FGS video streaming traffic delivery in an IP/DVB/UMTS network, European Journal of Operational Research , Vol. 191, pp. 1089-1100 , 2008, Elsevier
[1]
G. Mastorakis, E. Pallis, G. Kormentzas, A Fusion IP/DVB Networking Environment for Providing Always-On Connectivity and Triple-Play Services to Urban and Rural Areas, IEEE Networks, Vol. 21, No. 2, pp. 21-27, 2007
[2]
D. Vassis, G. Kormentzas, ’Performance Analysis of IEEE 802.11 Ad Hoc Networks in the Presence of Hidden Terminals, Computer Networks, Vol. 51, pp. 2345–2352, 2007
[3]
D. Vassis, G. Kormentzas, Performance Analysis of IEEE 802.11 Ad Hoc Networks in the Presence of Exposed Terminals, Ad Hoc Networks, 2007
[4]
E. Borcoci, G. Kormentzas, A. Asgari, T. Ahmed, Admission control algorithm for aggregated pipes service invocation in multi-domain IP environment, Computer Networks, Vol. 51, pp. 4669–4678, 2007
[5]
G. Kormentzas, T. Andrade, H. Asgari, C. Skianis, Service Management Enhancements to IMS Architecture, International Journal of Network Management , Vol. 17, pp. 363-371 , 2007, Wiley
[6]
T. Pliakas, G. Kormentzas, C. Skianis, Scalable Video Streaming Traffic Delivery in IP/UMTS Networking Environments, Journal of Multimedia , Vol. 2, No. 2, pp. 37-46 , 2007, Academy Publisher
[7]
D. Alexopoulos, J. Soldatos, G. Kormentzas, C. Skianis, UbiXML: Programmable Management of Ubiquitous Computing Resources, International Journal of Network Management , Vol. 17, No. 6, pp. 415-435 , 2007, Wiley
[8]
C. Skianis, G. Kormentzas, K. Kontovasilis, G. Lisa, Efficiency Study of the Information Flow Mechanism Enabling Interworking of Heterogeneous Wireless Systems, The Journal of Systems and Software, Vol. 80, pp. 1746–1753 , 2007, Elsevier Science
[1]
J. Anagnostopoulos, C. Anagnostopoulos, D. Vergados, A. Rouskas, G. Kormentzas, The Wisconsin Breast Cancer Problem: Diagnosis and TTR/DFS time prognosis using probabilistic and generalised regression information classifiers, Oncology Reports, special issue Computational Analysis and Decision Support Systems in Oncology, Vol. 15, pp. 975-982, 2006
[2]
T. Ahmed, A. Asgari, A. Mehaoua, E. Borcoci, L. Berti-Équille, G. Kormentzas, End-to-End Quality of Service Provisioning Through an Integrated Management System for Multimedia Content Delivery, Computer Communications, 2006
[3]
E. Vayias, J. Soldatos, G. Kormentzas, Traffic Shaping based on an Exponential Token Bucket for Quantitative QoS: Implementation and Experiments on DiffServ Routers, Computer Communications, Vol. 29, pp. 781–797, 2006
[4]
G. Mastorakis, E. Pallis, C. Mantakas, G. Kormentzas, C. Skianis, Exploiting Digital Switchover for Broadband Services Access in Rural Areas, Journal of Communications , Vol. 6, No. 1, pp. 45-50 , 2006, Academy Publisher
[5]
A. Mehaoua, T. Ahmed, H. Asgari, M. Sidibe, A. Nafaa, G. Kormentzas, T. Kourtis, C. Skianis, Service-driven Inter-domain QoS Monitoring System for Large-scale IP and DVB Networks, Computer Communications, Vol. 29, No. 10, pp. 1687-1695 , 2006, Elsevier Science
[6]
D. Vassis, G. Kormentzas, C. Skianis, Performance Evaluation of Single and Multi-Channel Actor to Actor Communication for Wireless Sensor Actor Networks, Ad Hoc Networks , Vol. 4, No. 4, pp. 487-498 , 2006, Elsevier Science
[1]
D. Vouyioukas, I. Maglogiannis, D. Vergados, G. Kormentzas, A. Rouskas, WPAN’s Technologies for Pervasive e-Health Applications – State of the Art and Future Trends, Journal for Quality of Life Research, Vol. 3, No. 2, pp. 198-204, 2005
[2]
J. Soldatos, E. Vayias, G. Kormentzas, On the Building Blocks of Quality of Service in Heterogeneous IP Networks, IEEE Communications Surveys and Tutorials, Vol. 7, No. 1, pp. 70-89, 2005
[3]
D. Vassis, G. Kormentzas, Delay Performance Analysis and Evaluation of IEEE 802.11e EDCA in Finite Load Conditions, Wireless Personal Communications, Vol. 34, pp. 29–43, 2005
[4]
C. Skianis, G. Kormentzas, K. Kontovasilis, Interactions between Intelligent Multimodal Terminals and a Network Management System in a B3G Context, Wireless Communications & Mobile Computing, Vol. 5, pp. 679-695 , 2005, Wiley
[5]
D. Kouis, D. Loukatos, K. Kontovasilis, G. Kormentzas, C. Skianis, On the Effectiveness of DVB-T for the Support of IP-based Services in Heterogeneous Wireless Networks, Computer Networks , Vol. 48, No. 1, pp. 57-73 , 2005, Elsevier Science
[6]
D. Vassis, G. Kormentzas, A. Rouskas, I. Maglogiannis, The IEEE 802.11g Standard for High Data Rate WLANs, IEEE Network Magazine, 2005
[1]
I. Maglogiannis, G. Kormentzas, N. Panagiotarakis, Emerging Web-Services for Ship Travelers, Information Technology and Tourism (ITT), Vol. 7, No. 1, pp. 23-31, 2004
[2]
A. Rouskas, D. N. Skoutas, G. Kormentzas, D. Vergados, Code Reservation Schemes at the Forward Link in WCDMA, Elsevier Computer Communications, Vol. 27, No. 9, pp. 792-800, 2004, ttps://doi.org/10.1016/j.comcom.2004.01...., IF = 2.766
[3]
G. Kormentzas, I. Maglogiannis, D. Vassis, D. Vergados, A. Rouskas, A Modeling and Simulation Framework for Compound Medical Applications in Regional Healthcare Networks, International Journal of Electronic Healthcare (IJEH), 2004, InderScience Publishers
G. Kambourakis, A. Rouskas, G. Kormentzas, S. Gritzalis, Advanced SSL/TLS based Authentication for Secure WLAN-3G Interworking, IEE Proceedings Communications, Vol. 151, No. 5, pp. 501-506, 2004, IEE Press, http://ieeexplore.ieee.org/xpl/login.js..., indexed in SCI-E, IF = 0.195
Abstract:
Motivated by the fact that the SSL protocol has proved its effectiveness in wired IP networks, recent research work has examined the potential use of this protocol in various wireless technologies. Although Wi-Fi networks present security deficiencies, they manage to penetrate the wireless market to a great degree due to their low cost, easy administration, great capacity, IP-oriented nature, etc. Considering Wi-Fi networking settings, administrated by different operators, as parts of a common core 3G infrastructure, the author propose the potential application of enhanced SSL-based authentication mechanisms in integrated emerging-3G and Wi-Fi networks. Existing problems related to authentication and key agreement (AKA) procedures and the extensible authentication protocol (EAP)-AKA, as they appear in the latest 3G and integrated 3G/ Wi-Fi specifications, are discussed. It is proposed how EAP-TLS, combined with public key infrastructure (PKI) elements, can be used to overcome these inefficiencies in a hybrid WLAN 3G heterogeneous environment, in order to provide strong authentication and end-to-end security to the mobile user.
Motivated by the fact that the SSL protocol has proved its effectiveness in wired IP networks, recent research work has examined the potential use of this protocol in various wireless technologies. Although Wi-Fi networks present security deficiencies, they manage to penetrate the wireless market to a great degree due to their low cost, easy administration, great capacity, IP-oriented nature, etc. Considering Wi-Fi networking settings, administrated by different operators, as parts of a common core 3G infrastructure, the author propose the potential application of enhanced SSL-based authentication mechanisms in integrated emerging-3G and Wi-Fi networks. Existing problems related to authentication and key agreement (AKA) procedures and the extensible authentication protocol (EAP)-AKA, as they appear in the latest 3G and integrated 3G/ Wi-Fi specifications, are discussed. It is proposed how EAP-TLS, combined with public key infrastructure (PKI) elements, can be used to overcome these inefficiencies in a hybrid WLAN 3G heterogeneous environment, in order to provide strong authentication and end-to-end security to the mobile user.
[1]
K. Kontovasilis, G. Kormentzas, A. Kourtis, N. Mitrou, J. Soldatos, E. Vayias, A Web-based Database System for Providing Technical Information on ATM Networking Platforms, Journal of Computing and Information Technology, Vol. 11, No. 1, pp. 1-13, 2003
[1]
G. Kormentzas, K. Kontovasilis, An Open Architecture for Transparently Embedding Advanced Traffic Control Functionality in ATM Switches, Journal of Communications and Networks (JCN), Vol. 3, No. 1, pp. 64-77, 2001
[2]
K. Kontovasilis, G. Kormentzas, N. Mitrou, J. Soldatos, E. Vayias, A Framework for Designing ATM Network Management Systems by way of Abstract Information Models and Distributed Object Architectures, Computer Communications, Vol. 24, No. 7-8, pp. 641-653, 2001
[1]
G. Kormentzas, E. Pallis, A. Kourtis, K. Kontovasilis, A Broadband Wireless Access System for Wired and Wireless LANs, Journal of Communications and Networks (JCN), Vol. 2, No. 3, pp. 259-265, 2000
[1]
Y. Nikoloudakis, G. Mastorakis, E. Pallis, E. Markakis, C. Skianis, G. Kormentzas, Vulnerability Assessment of Cybersecurity for IoT Environments, Submmited in IEEE Wireless Communications Magazine, 1979


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