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Periklis Chatzimisios
Researcher at International Hellenic University
Publications - 206
Citations - 4999
Periklis Chatzimisios is an academic researcher from International Hellenic University. The author has contributed to research in topics: Network packet & Computer science. The author has an hindex of 32, co-authored 168 publications receiving 4414 citations. Previous affiliations of Periklis Chatzimisios include Hellenic Open University & University of Macedonia.
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Journal ArticleDOI
Heterogeneous Vehicular Networking: A Survey on Architecture, Challenges, and Solutions
TL;DR: A comprehensive survey on recent wireless networks techniques applied to HetVNETs, which integrates cellular networks with dedicated Short Range Communication (DSRC) and major challenges and solutions that are related to both the Medium Access Control (MAC) and network layers in HetVsNETs are studied and discussed.
Proceedings ArticleDOI
A Survey on Application Layer Protocols for the Internet of Things
TL;DR: This paper presents and compares existing IoT application layer protocols as well as protocols that are utilized to connect the “things” but also end-user applications to the Internet, and argues their suitability for the IoT by considering reliability, security, and energy consumption aspects.
Proceedings ArticleDOI
IEEE 802.11 packet delay-a finite retry limit analysis
TL;DR: An analytical model based on a Markov chain is presented which allows us to derive closed form expressions for the packet delays, the probability of a packet being discarded when it reaches the maximum retransmission limit and the average time to drop such a packet for the basic and RTS/CTS access mechanisms.
Journal ArticleDOI
Big data-driven optimization for mobile networks toward 5G
TL;DR: A framework of Big Data-Driven (BDD) mobile network optimization is proposed and the characteristics of big data that are collected not only from user equipment but also from mobile networks are presented.
Journal ArticleDOI
An SMDP-Based Resource Allocation in Vehicular Cloud Computing Systems
TL;DR: This paper proposes an optimal computation resource allocation scheme to maximize the total long-term expected reward of the VCC system and utilizes the iteration algorithm to develop the optimal scheme that describes which action has to be taken under a certain state.