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Guest Editorial Software Defined Internet of Vehicles

Zhihan Lv, Jaime Lloret, Houbing Song
2021 IEEE transactions on intelligent transportation systems (Print)  
The system realizes the integrated network of intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control by "filtering and cleaning" massive data and processing  ...  Internet of Vehicles (IoV) is a large-scale system network for wireless communication and information exchange between vehicles and people, vehicles and roads, vehicles and the Internet, which is based  ...  A new software-defined networking-based IoV heterogeneous networking measurement framework is proposed to build software-defined networking of IoV.  ... 
doi:10.1109/tits.2021.3080875 fatcat:tvd6ubmtmfe73mta3iorxzncju

Intelligent Load Balancing Techniques in Software Defined Networks: A Survey

Thabo Semong, Thabiso Maupong, Stephen Anokye, Kefalotse Kehulakae, Setso Dimakatso, Gabanthone Boipelo, Seth Sarefo
2020 Electronics  
To address these disadvantages and improve internet traffic, there has been a paradigm shift which resulted in the introduction of software defined networking (SDN).  ...  We provide an overview of the various load balancing schemes in SDN. The overview is based on research challenges, existing solutions, and we give possible future research directions.  ...  -Deep reinforcement learning based on software defined networking.  ... 
doi:10.3390/electronics9071091 fatcat:ireugdqmibbvdidqacg4yzncme

Urban Traffic Control Using Adjusted Reinforcement Learning in a Multi-agent System

Mahshid Helali Moghadam, Nasser Mozayani
2013 Research Journal of Applied Sciences Engineering and Technology  
Then using an appropriate reinforcement learning, it tries to exploit the best point according to different conditions. This approach was implemented on a network in traffic simulator software.  ...  The proposed approach, at first finds the approximate optimal zone for traffic parameters based on traffic engineering theories.  ...  At first, agents acquire some statistical traffic information including rates of flow and saturation flows of the network streets.  ... 
doi:10.19026/rjaset.6.3676 fatcat:gdl275musbdqlfnchqzvzpas5y

Intelligent Routers and Smart Protocols [chapter]

Guy Pujolle, Dominique Gaïti
2004 Lecture Notes in Computer Science  
Network control and management with intelligent software agents offers a new way to master quality of service, security and mobility management.  ...  In this paper we provide an illustration of such a paradigm through a testbed of an architecture based on intelligent routers and smart protocols.  ...  Intelligent agents are able to acquire and to process information about situations that are "not here and not now", i.e., spatially and temporally remote.  ... 
doi:10.1007/978-3-540-30179-0_2 fatcat:tddl3q27fbburp7bsg3thwfpee

Software defined network traffic measurement: Current trends and challenges

Abdulsalam Yassine, Hesam Rahimi, Shervin Shirmohammadi
2015 IEEE Instrumentation & Measurement Magazine  
For example, the software developer can write APIs to interact with the network and acquire information from the switches about their status and program flow tables.  ...  Figure 1 : The concept of a software-defined network, adapted from [3] The network intelligence in SDN is logically centralized in a piece of software called the "controller" or the "network operating  ... 
doi:10.1109/mim.2015.7066685 fatcat:qges6jbpfnbd5jmwkouipoj23y

BLOCKCHAIN-BASED NETWORK FUNCTIONS VIRTUALIZATION FOR 5G NETWORK SLICING

Taras MAKSYMYUK, Department of Telecommunications, Institute of Telecommunications, Radio Electronics and Electronic Engineering, Lviv Polytechnic National University, Bandery 12, 79013 Lviv, Ukraine, Volodymyr ANDRUSHCHAK, Stepan DUMYCH, Bohdan SHUBYN, Gabriel BUGÁR, Juraj GAZDA, Department of Telecommunications, Institute of Telecommunications, Radio Electronics and Electronic Engineering, Lviv Polytechnic National University, Bandery 12, 79013 Lviv, Ukraine, Department of Telecommunications, Institute of Telecommunications, Radio Electronics and Electronic Engineering, Lviv Polytechnic National University, Bandery 12, 79013 Lviv, Ukraine, Department of Telecommunications, Institute of Telecommunications, Radio Electronics and Electronic Engineering, Lviv Polytechnic National University, Bandery 12, 79013 Lviv, Ukraine, Department of Computers and Informatics, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovakia, Department of Computers and Informatics, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovakia
2021 Acta Electrotechnica et Informatica  
The paper proposes a new blockchain-based network architecture for 5G network functions virtualization.  ...  Experimental testbed of the proposed system has been implemented by using cloud and edge computing infrastructure and software defined radio peripheral NI USRP 2900.  ...  His research interests include 5G mobile networks, software-defined networks, blockchain and artificial intelligence.  ... 
doi:10.15546/aeei-2020-0026 fatcat:gfpv2vefnbhzhoxgzfxpvwvdha

NetworkAI: An Intelligent Network Architecture for Self-Learning Control Strategies in Software Defined Networks

Haipeng Yao, Tianle Mai, Xiaobin Xu, Peiying Zhang, Maozhen Li, Yunjie Liu
2018 IEEE Internet of Things Journal  
To address this issue, this paper presents NetworkAI, an intelligent architecture for self-learning control strategies in SDN networks.  ...  The past few years have witnessed a wide deployment of software defined networks facilitating a separation of the control plane from the forwarding plane.  ...  In this paper, we propose NetworkAI, an architecture exploiting software-defined networking, network monitor technologies (e.g., traffic identification, In-band Network Telemetry(INT)), and reinforcement  ... 
doi:10.1109/jiot.2018.2859480 fatcat:r2deqvl6rjdple5ck7gdweluve

Dynamic traffic forecasting and fuzzy-based optimized admission control in federated 5G-open RAN networks

Abida Perveen, Raouf Abozariba, Mohammad Patwary, Adel Aneiba
2021 Neural computing & applications (Print)  
Utilizing information on user demand and network capacity, we propose a fully reconfigurable admission control framework via fuzzy-logic optimization.  ...  AbstractProviding connectivity to high-density traffic demand is one of the key promises of future wireless networks.  ...  It provides a solution based on software-defined networks and openness of general-purpose hardware [20] .  ... 
doi:10.1007/s00521-021-06206-0 fatcat:lr6uvjujffds5ksjgbucris5dq

Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology

Hasan Omar
2015 International Journal of Advanced Computer Science and Applications  
The architecture introduces the use of an active radio-frequency identification (RFID), wireless sensor technologies, object ad-hoc networking, and Internet-based information systems in which tagged traffic  ...  The Internet of Things is based on the Internet, network wireless sensing and detection technologies to realize the intelligent recognition on the tagged traffic object, tracking, monitoring, managing  ...  Each traffic object is represented as a software agent (an intelligent object agent).  ... 
doi:10.14569/ijacsa.2015.060206 fatcat:jrmlhnf4ljbcndkqgjnhxgxp3i

Artificial Intelligence for Vehicle-to-Everything: A Survey

Wang Tong, Azhar Hussain, Wang Xi Bo, Sabita Maharjan
2019 IEEE Access  
Artificial intelligence (AI) has been widely used to optimize traditional data-driven approaches in different areas of the scientific research.  ...  Vehicle-to-everything (V2X) system together with AI can acquire the information from diverse sources, can expand the driver's perception, and can predict to avoid potential accidents, thus enhancing the  ...  The traffic flow data can be acquired from multiple sources, such as traffic cameras, crowd souring based information services, vehicles etc.  ... 
doi:10.1109/access.2019.2891073 fatcat:kpojxobitvd7fdinkvqnchvtdm

Software-Defined Network Function Virtualization: A Survey

Yong Li, Min Chen
2015 IEEE Access  
Integrated with SDN, the software-defined NFV architecture further offers agile traffic steering and joint optimization of network functions and resources.  ...  INDEX TERMS Software-defined networks, network function virtualization, middlebox, service chain, network virtualization.  ...  SOFTWARE-DEFINED NETWORKS Software-Defined Network (SDN) is an important and recently emerging network architecture to decouple the network control from the data forwarding by directly programming [33  ... 
doi:10.1109/access.2015.2499271 fatcat:q5twmnj5srdfta2sjnejuzbt4a

Towards Smart City Innovation Under The Perspective Of Software-Defined Networking, Artificial Intelligence And Big Data

Joberto S. B. Martins
2018 Zenodo  
In this scenario, this paper proposes and analyses the impact and perspectives on adopting software-defined networking and artificial intelligence as innovative approaches for smart city project development  ...  A framework layered view is proposed with a discussion about software-defined networking and machine learning impacts on innovation followed by a use case that demonstrates the potential benefits of cognitive  ...  Following that, software-defined networking (SDN), artificial intelligence and big data are analyzed under the perspective of contributing to smart city innovation. II.  ... 
doi:10.5281/zenodo.1467771 fatcat:dvxihwi2ure6peso4iacoqegau

Towards Smart City Innovation Under the Perspective of Software-Defined Networking, Artificial Intelligence and Big Data [article]

Joberto S. B. Martins
2018 Zenodo   pre-print
In this scenario, this paper proposes and analyses the impact and perspectives on adopting software-defined networking and artificial intelligence as innovative approaches for smart city project development  ...  A framework layered view is proposed with a discussion about software-defined networking and machine learning impacts on innovation followed by a use case that demonstrates the potential benefits of cognitive  ...  Following that, software-defined networking (SDN), artificial intelligence and big data are analyzed under the perspective of contributing to smart city innovation. II.  ... 
doi:10.5281/zenodo.1467770 arXiv:1810.11665v1 fatcat:rqrfs4nourecxk4lkytrx2exd4

Automotive Intelligence Embedded in Electric Connected Autonomous and Shared Vehicles Technology for Sustainable Green Mobility

Ovidiu Vermesan, Reiner John, Patrick Pype, Gerardo Daalderop, Kai Kriegel, Gerhard Mitic, Vincent Lorentz, Roy Bahr, Hans Erik Sand, Steffen Bockrath, Stefan Waldhör
2021 Frontiers in Future Transportation  
The article gives an overview of the advances in AI technologies and applications to realize intelligent functions and optimize vehicle performance, control, and decision-making for future ECAS vehicles  ...  such as energy, high-definition maps, routes, infrastructure information, traffic lights, tolls, parking (micropayments), and finding emergent/intelligent solutions.  ...  Further investigation of Deep Neural Network (DNN)-based software where the software learns and adapts is an important research area to be pursued.  ... 
doi:10.3389/ffutr.2021.688482 fatcat:3yr2mvmoanadxpk6zcbgbtjiy4

Road Artery Traffic Light Optimization with Use of the Reinforcement Learning

Rok Marsetič, Darja Šemrov, Marijan Žura
2014 Promet (Zagreb)  
An actuated signal system can adjust very well to traffic conditions, but cannot fully adjust to stochastic traffic volume oscillation.  ...  The goal of this paper is to demonstrate that the use of the Q learning algorithm for traffic lights optimization is suitable.  ...  Parameter a (learning rate parameter) defines to what extent the newly acquired information influences the experiences; factor 0 . a means that an agent will not learn, while 1 a = means that the agent  ... 
doi:10.7307/ptt.v26i2.1318 fatcat:gozi6jfq7jgfhbrvikk3erod7q
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