Konstantinos Lizos

Work place: Electronics and Electrical Communications Eng. Department, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt

E-mail: konstantinoslizos@gmail.com

Website:

Research Interests: Computer Networks, Data Structures and Algorithms, Theory of Computation

Biography

Konstantinos Lizos received his Engineering degree in 2003 and his M.S Degree in 2005, both with merit, from the Engineering Information & Communication Systems Department, Samos, Greece at the University of Aegean (UOA). Since 2006, upon completing his military obligations, has joined the Hellenic Ministry of Foreign Affairs. He is currently associated with the UiO University in Norway as an active researcher in the fields of wireless networking. His current research interests include queue theory, mobile and vehicular communication networks, algorithms, signal and systems.

Author Articles
Interoperability Framework for Vehicular Connectivity in Advanced Heterogeneous Vehicular Network

By Saied M. Abd El-atty Konstantinos Lizos

DOI: https://doi.org/10.5815/ijcnis.2014.04.01, Pub. Date: 8 Mar. 2014

Advanced heterogeneous vehicular network (AHVN) is a promising architecture for providing vehicular services in the next generation of vehicular networks. AHVN is an integrated architecture between vehicular ad hoc networks and existing cellular wireless networks. In this work, we propose a Multihop vehicular connectivity model in V2V system, which depends on the physical characteristics of the roadways and false hop initiation connectivity. Then, we determine the failure probability of vehicular connectivity in V2V system. Based on interoperability utility, we employ the failure connectivity probability as a handover criterion to communicate with V2R networks. Subsequently, we propose an efficient medium access control (MAC) method based on collaborative codes for resource management in AHVN. As a result, we determine the failure access probability by employing a Markov chain model. The analysis of the proposed MAC in terms of transmission capacity, delay and access failure probability is driven. The numerical and simulation results demonstrate the effectiveness of the proposed framework.

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