Performance, Simulation and Modelling of Sensors Networks in the Context of IoT, Edge Computing, and AI
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 45789
Special Issue Editors
Interests: IoT; sensor networks; virtualization; resource allocation; optimization algorithms; network management and orchestration; wireless communications
Special Issues, Collections and Topics in MDPI journals
Interests: cognitive radio networks; cross-layer design; delay-tolerant networks; malware propagation modeling; network science and complex networks; queuing theory; resource allocation; topology control
Special Issues, Collections and Topics in MDPI journals
Interests: software-defined networks; cognitive radio networks; IoT; big data; social network analysis; recommender systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) is gaining considerable momentum. Even though the term was captured the previous decade and actual implementations of IoT did not start for some years later, we are already currently living in the fourth industrial revolution. The core component of this revolution are sensor networks and the data they generate. As the cost of sensors and actuators is decreasing and data analysis can render the applications more intelligent, the IoT thrives.
However, as often happens with every new technology (much more with every new revolution), there are a number of challenges to be resolved. Sensor nodes are characterized as low-power and constrained nodes that cannot cope with the increasing requirements of emerging applications. Recent trends of repositioning computational resources closer to the user have generated the notion of edge computing, yet Edge resources are much scarcer than traditional cloud resources and need finer scheduling and allocation techniques. Furthermore, IoT access networks can be very dynamic and unreliable, creating an unstable communication that needs to be predicted to ensure a smooth end-to-end communication environment. Artificial Intelligence can be deemed a viable solution if combined with sensor networks and can facilitate the scheduling of a spectrum, or classify sensor/IoT applications according to their traffic characteristics. Finally, one other obvious challenge is scalability. With the evolution of the IoT and the advent of 5G and massive machine-type communications, highly dense networks are expected to be created, stressing even more the available infrastructure.
To this end, this Special Issue is soliciting conceptual, theoretical, and experimental contributions to a set of currently unresolved challenges in the area of sensor networks, IoT, Edge Computing, and AI. The topics of interest include but are not limited to:
- Resource allocation and scheduling in sensor networks;
- Optimization algorithms for virtual sensor networks;
- Network routing in sensor networks;
- Resource allocation for an IoT/edge interplay;
- Management and orchestration of sensors networks through edge;
- Scalability issues in sensor networks/the IoT;
- Security issues in sensor networks;
- Data analytics, traffic analysis, and classification in the IoT and sensor networks;
- AI for QoS management in sensor networks;
- Energy sustained development in the IoT/edge;
- Performance analysis and modeling in the context of AI, sensor networks, and edge;
- Sensor network monitoring;
- Applications of sensor networks and performance evaluation in agriculture and/or aquaculture;
- 5G architectures and trials in agriculture and/or aquaculture;
- Sensing and performance evaluation for autonomous and remote driving;
- Resource orchestration at the network edge;
- Virtual network embedding at the network edge;
- Testbeds and experimental facilities reports;
- Business and techno-economics opportunities.
Dr. Aris Leivadeas
Dr. Vasileios Karyotis
Dr. Dimitrios Dechouniotis
Guest Editors
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