On Evolutionary Optimization Strategies in Efficient Traffic Engineering Design For Improving QoS in MultiService Networks
 |
Professor Dimitrios A. Karras
|
Abstract:
On Evolutionary Optimization Strategies in Efficient Traffic Engineering Design For Improving QoS in MultiService Networks
|
|
Professor Dimitrios A. Karras
|
Abstract:
This speech presents new strategies for offline traffic engineering, when designing multiservice-UMTS networks, based on an efficient modifications of basic genetic optimization techniques. More specifically, the problem setup includes Mobile Internet access as the most emergent trade in the telecommunications industry due to the advancement of cellular smartphones, tablets, notebooks and netbooks based computing and communicating technologies involved in current generation networking towards Internet of Things (IoT). In this modern real world set-up, the integration of deployed wireless networks with the Internet and the transparent interworking among different wireless technologies, namely EDGE/GPRS/CDMA2000 cellular and Wireless LAN (WLAN), appears to be a demanding objective for mobile communications service providers. The mixture and convergence of mobile and fixed infrastructures related services make it urgent to tackle quality of service and traffic engineering for mobile networks at the fundamental transport level with regards to OSI network analysis. A good solution to address such issues is the MultiProtocol Label Switching (MPLS) technology providing a fused control instrument with connectionless multiprotocol capabilities, functioning over different communication media while supporting traffic engineering and quality of service (QoS) offering smooth traffic over the complex network of mobile and fixed communication infrastructures. Therefore, the MPLS architecture offers the required capacity to integrate different services over wired and wireless infrastructures in a unified convergent approach. Based on these concepts, this research proposal investigates traffic engineering solutions in MPLS involved wireless cellular networks. In this paper, two new methods for the solution of the off-line Traffic Engineering (TE) problem in multi-service wireless networks based on a certain efficient modification of basic genetic optimisation are presented. In the first method the off-line TE problem is formulated as an optimisation model with linear constraints and then solved using a new modified version of the Genetic Algorithm for Numerical Optimisation for Constraint Problems (GENOCOP). Besides, a hybrid method for the solution of the aforementioned problem involving modified GENOCOP and a heuristic TE algorithm is also provided. The performance of the above methods against a standard LP-based optimisation method as well as a Simulated Annealing based optimisation methodology is investigated in terms of different network topologies mixing both wireless and wired links and numerical test results are provided.
Brief Biography of the Speaker:
Dimitrios A. Karras received his Diploma and M.Sc. Degree in Electrical and Electronic Engineering from the National Technical University of Athens, Greece in 1985 and the Ph. Degree in Electrical Engineering, from the National Technical University of Athens, Greece in 1995, with honours. From 1990 and up to 2004 he collaborated as visiting professor and researcher with several universities and research institutes in Greece. Since 2004, after his election, he has been with the Sterea Hellas Institute of Technology, Automation Dept., Greece as associate professor in Digital Systems and Signal Processing as well as with the Hellenic Open University, Dept. Informatics as a visiting professor in Communication Systems (the latter since 2002 and up to 2010). He has published more than 65 research refereed journal papers in various areas of pattern recognition, image/signal processing and neural networks as well as in bioinformatics and more than 180 research papers in International refereed scientific Conferences. His research interests span the fields of pattern recognition and neural networks, image and signal processing, image and signal systems, biomedical systems, communications, networking and security. He has served as program committee member in many international conferences, as well as program chair and general chair in several international workshops and conferences in the fields of signal, image, communication and automation systems. He is, also, former editor in chief (2008-2015) of the International Journal in Signal and Imaging Systems Engineering (IJSISE), academic editor in the TWSJ, ISRN Communications and the Applied Mathematics Hindawi journals as well as associate editor in various scientific journals. He has been cited in more than 1500 research papers, his H/G-indices are 16/29 (Google Scholar) and his Erdos number is 5. His RG score is 30.33 (https://www.researchgate.net/profile/Dimitrios_Karras2/)