SDN-Enabled Sensing in Smart Infrastructure
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (1 November 2024) | Viewed by 8137
Special Issue Editors
Interests: smart grid technologies; IoT systems; SDN/NFV; power line communication; energy management; intelligent systems for critical infrastructure; smart wireless power transfer; transactive energy systems and resource allocation & control in communication systems
Special Issues, Collections and Topics in MDPI journals
Interests: context sensing, context-aware intelligent systems, IoT, data analytics, mobile computing
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent reflecting surfaces (IRS); smart signal processing; massive MIMO; 5G and beyond; machine learning; optimization; Internet of Things (IoT); smart energy cities
Special Issues, Collections and Topics in MDPI journals
Interests: smart grid; cybersecurity; cloud computing; Internet of Things; green ICT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development in sensor technologies, computing and analytics has enabled the creation of new techniques used to monitor physical infrastructure. However, many of the underlying sensor/data networks in critical infrastructure are unable to self-reconfigure or fulfil the requirements of various applications. Furthermore, the constrained resources in edge/fog nodes limit their ability to process large quantities of data to accurately determine the optimum decision in real time. This makes remote processing unable to minimise the conflict between accuracy and timeliness of decisions. SDN allows the network to programmatically respond to the changes in the communication environment, traffic requirements and operating context.
In critical infrastructure such as transportation systems, agriculture, smart grids, smart healthcare systems, robotic systems, etc., a loss of information of delays can lead to a loss of human lives or damage to expensive equipment, even if the actions are accurate. The agility and centralised management of data traffic provided by SDN opens new possibilities in the management of critical infrastructure.
This Special Issue (SI) aims to bring together researchers and practitioners who are interested in the development of these techniques to understand or address the issues related to the application of SDN in critical infrastructure architectures, algorithms, and applications.
The list of possible topics includes, but is not limited to, the following:
- Novel theories, concepts, and paradigm edge/IoT convergence;
- Cybersecurity and mitigation in SDN;
- Application of machine learning in SDN;
- Surveys and tutorials;
- Resource allocation and sharing;
- Congestion management;
- Quality of service;
- Novel architectures;
- Context awareness;
- Non-deterministic communication;
- Network automation;
- Integration of blockchain;
- SDN-based services in edge computing;
- SDN for real-time industrial IoT applications;
- Future directions;
- Novel collaborative frameworks/algorithms/protocols for intelligent IoT applications;
- SDN-enabled reliability and low latency for industrial IoT applications;
- Applications of SDN in critical infrastructure.
Dr. Augustine Ikpehai
Dr. Abayomi Otebolaku
Dr. Kelvin Anoh
Dr. Bernardi Pranggono
Guest Editors
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Keywords
- industrial Internet of Things
- software-defined network
- edge processing
- smart infrastructure systems
- machine learning
- centralised management
- artificial intelligence
- cognitive communication and networking
- intrusion detection
- privacy and security
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