Secure Communication for Intelligent Transportation Systems in Vehicular Social Networks
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (26 April 2023) | Viewed by 4634
Special Issue Editors
Interests: vehicular networks; information security; cyber security; cloud computing; software engineering
Interests: model verification; Service Oriented Architecture (SOA); Model Driven Development (MDD)
Special Issues, Collections and Topics in MDPI journals
Interests: AI; machine learning; big data analytics; decision making
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; image processing; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Intelligent transportation systems are a new trending area in vehicular social networks (ITS-VSNs) that decrease fuel expenditures by avoiding traffic congestion through mobile infotainment traffic security applications. These applications can be further categorized into safety and non-safety applications, where there is a huge need to build up new communications technology for integrated ITS-VSN solutions. Those commodities mentioned result in several types of vehicular communications, such as vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-roadside (V2R) communications. Due to the rapid development in this field, numerous research limitations need to be addressed, such as latency and reliability, suitable scalable strategy for MAC (medium access control) and performance, routing protocols and flexibility to changes in the environment, and the evaluation and validation of vehicular communication protocols over security assumptions using simulation methodologies. To be more specific, data retrieval in connected ITS-VSNs is in itself a great challenge in numerous ways. For example, the highly dynamic mobility of vehicles raises a plethora of research questions that must be solved.
In order to develop ITS-VSNs, the biggest stumbling block is the contradiction between the various functionalities demanded by applications and the limited energy supply for vehicle nodes. This situation is worsening, especially considering the increasing network scale. It is necessary to accept tradeoffs between system performance and energy efficiency, through adapting ITS-VSN/networking functionalities to energy budget. On the other hand, it is also worth seeking new techniques to supply energy to vehicle nodes sustainably. Potential paper submissions are likely to exploit the connectionism and emergence of networking systems in various problem-solving methods in the ITS-VSN and vehicular communications with a focus on data retrieval. They may also outline essential challenges, proof-of-concept studies with a direct and simulated comparison to technical solutions, and mathematical models of communication principles. This Special Issue is seeking conceptual, empirical, or technological papers that offer new insights into topics including, but not limited to, the following:
- Modeling and theoretical proofs of communications in ITS-VSNs;
- Internet of Things (IoT) applications with ITS-VSNs;
- Smart sensors and communications in ITS-VSNs;
- Quality-of-service (QoS) for ITS-VSNs;
- Information and content-centric networking in ITS-VSNs;
- Data retrieval via software-defined ITS-VSNs;
- Performance evaluations of ITS-VSNs;
- Wireless communication and vehicular social networking in ITS-VSNs;
- Socially-aware intelligent transportation systems;
- Security and privacy issues in ITS-VSNs;
- Mobility modeling and big data mining in V ITS-VSNs;
- Cooperative communication in ITS-VSNs;
- Entertainment on roads/video and gaming in ITS-VSNs;
- Data delivery reliability and network efficiency in ITS-VSNs;
- Data privacy and security for ITS-VSNs;
- Transportation optimization using ITS-VSNs;
- Traffic control and management based on ITS-VSNs;
- Real-time optimization systems for ITS-VSNs;
- Machine learning in ITS-VSNs;
- Big data processing in ITS-VSNs.
Prof. Dr. Qasim Ali Arain
Prof. Dr. Asadullah Shaikh
Dr. Abdullah Alghamdi
Dr. Jawad Rasheed
Guest Editors
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