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Modeling and Performance Evaluation of Wireless Sensor and IoT Networks in Emerging Contexts

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (15 November 2019) | Viewed by 4608

Special Issue Editors

Department of Computer Engineering, Modelling, Electronics and Systems (DIMES), University of Calabria, 87036 Arcavacata of Rende, Cosenza, Italy
Interests: Internet of Things; advanced satellite networks for multimedia communications; wireless Ad Hoc networks; sensor networks; adaptive wireless systems; ultra wide band (UWB) technologies; channel modeling in wireless environment; security architectures and protocol over wireless networks; QoS services and architecture over distributed and centralized wireless systems
Special Issues, Collections and Topics in MDPI journals
National Taiwan University of Science and Technology, Taipei, Taiwan
Interests: Internet of Things; transmission technology; IoT platform technology; 5G new radio protocol technology
Special Issues, Collections and Topics in MDPI journals
Faculty of Electrical Engineering and Computer Science, VSB – Technical University of Ostrava, 708 00 Ostrava, Czech Republic
Interests: wireless communication; Internet of things; energy harvesting; network security; big data analytics in networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

In recent years, wireless sensor networks (WSNs) have started to become more pervasive. The introduction of emergent paradigms like Internet of Things and Edge and Fog Computing are renewing interest in sensor networks because simple sensors can now become more complex micro-devices that are able to sense multiple parameters and do actuations in the environment where they work. Moreover, WSNs can be integrated in new vehicles, in drones, in health applications, and in office/home/building. This Special Issue is related to some topics that need to be dealt with through modeling in these new generations of sensors that can belong to different application domains—in particular, aspects related to QoS management to provide some constraint satisfaction, such as delay, energy, bandwidth; issues related to security and privacy; and issues related to the integration of WSNs with actuator networks and integration of WSNs in new applicative contexts, such as drones, connected and smart vehicles, home and building, office, and e-Health. All these issues related to different contexts such as those listed above need a modeling and simulation approach that can allow the creation of an environment which is reproducible, flexible, and extendable to different user cases. All aspects related to the modeling of WSNs with specific emphasis to QoS, security, energy, and integration with actuator networks are welcome. Contributions are not limited to the topics listed below but can be extended to other cases where the simulation and modeling approach can be not only suitable, but even essential.

  • Architecture design for Scalable WSN supporting QoS and energy saving;
  • Data-driven energy consumption and delay model for WSN networks;
  • WSN and IoT paradigm;
  • Communication protocol design in scalable and efficient WSNs;
  • Energy harvesting modeling in WSNs;
  • Security, privacy, integrity, and trust in WSN networks and actuators;
  • Modeling hardware design and prototyping for Scalable WSNs;
  • Testbeds and simulation platforms for WSNs;
  • Key applications where WSN modeling and simulation can be mandatory (e.g., smart grid, home and building, connected vehicles, health-care).

Prof. Dr. Floriano De Rango
Prof. Dr. Miroslav Voznak
Prof. Dr. Ray-Guang Cheng
Guest Editor

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  • Sensors networks
  • Internet of Things
  • Energy harvesting and green communications
  • QoS management in wireless sensor networks
  • Modeling of sensors networks systems

Published Papers (1 paper)

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19 pages, 1123 KiB  
Performance Analysis of Time Synchronization Protocols in Wireless Sensor Networks
Sensors 2019, 19(13), 3020; - 09 Jul 2019
Cited by 19 | Viewed by 4075
The time synchronization protocol is indispensable in various applications of wireless sensor networks, such as scheduling, monitoring, and tracking. Numerous protocols and algorithms have been proposed in recent decades, and many of them provide micro-scale resolutions. However, designing and implementing a time synchronization [...] Read more.
The time synchronization protocol is indispensable in various applications of wireless sensor networks, such as scheduling, monitoring, and tracking. Numerous protocols and algorithms have been proposed in recent decades, and many of them provide micro-scale resolutions. However, designing and implementing a time synchronization protocol in a practical wireless network is very challenging compared to implementation in a wired network; this is because its performance can be deteriorated significantly by many factors, including hardware quality, message delay jitter, ambient environment, and network topology. In this study, we measure the performance of the Flooding Time Synchronization Protocol (FTSP) and Gradient Time Synchronization Protocol (GTSP) in terms of practical network conditions, such as message delay jitter, synchronization period, network topology, and packet loss. This study provides insights into the operation and optimization of time synchronization protocols. In addition, the performance evaluation identifies that FTSP is highly affected by message delay jitter due to error accumulation over multi-hops. We demonstrate that the proposed extended version of the FTSP (E-FTSP) alleviates the effect of message delay jitter and enhances the overall performance of FTSP in terms of error, time, and other factors. Full article
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