State-of-the-Art in Sensor and Actuator Networks: Current Status and Future Possibilities

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Actuators, Sensors and Devices".

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 8939

Special Issue Editors


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Guest Editor
Computer Science Department, University of Pittsburgh, Pittsburgh, PA 15260, USA
Interests: internet protocols and architecture; wireless networks; ubiquitous pervasive computing; security; network simulation and modeling

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Guest Editor
1. College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210095, China
2. School of Engineering, College of Science, University of Lincoln, Lincoln LN6 7TS, UK
Interests: Internet of Things; sensor networks; green computing; cloud and fog computing; fault diagnosis; wireless sensor networks; multimedia communication; middleware; security
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Guest Editor
School of Electrical Engineering & Computer Science, University of Ottawa, 800 King Edward Avenue, Ottawa, ON K1N 6N5, Canada
Interests: Internet of Things; mobile computing; wireless sensor & actuator networks; distributed systems
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School of Computing Science, Sir Alwyn Williams Building, University of Glasgow, Glasgow G12 8RZ, Scotland, UK
Interests: Internet-of-Things; cyber security; next generation networking; device-to-device communication; ad-hoc networking; trustworthy AI; blockchain
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the age of digitalization, we have seen wide deployment of wireless sensor and actuator networks (WSAN) in many applications in smart cities, smart manufacturing, autonomous vehicles, farming, horticulture, health and medical systems, wildlife monitoring, etc. With improved network connectivity and a wider adoption of Artificial Intelligence (AI) for system automation, many new innovative applications that are based on WSAN as its core can be developed in the future.

This Special Issue solicits novel research papers on the current state-of-the-art and future possibilities of WSAN, aiming to provide a comprehensive view of the current status of WSAN and set the future direction of WSAN research. The topics include but are not limited to:

  • System architecture, operating systems, and network hardware for sensor/actuator networks;
  • Smart and intelligent sensing and actuation;
  • Protocols and middleware for sensor/actuator networks;
  • Cloud- or edge-based services;
  • Industry 4.0 and embedded wireless sensor/actuator systems;
  • Nanosensor networks;
  • Wireless sensor/actuator networks (WSAN) for tactile Internet;
  • WSAN modeling simulation and virtualization tools and network twins;
  • Experimental facilities and test beds for sensor/actuator networks;
  • Large-scale and global sensor/actuator networks;
  • Blockchain technologies and their applications to sensor/actuator networks;
  • Internet-of-Things-based WSAN;
  • Quality of WSAN services and experiences;
  • WSAN and next-generation networks (5G, 6G, etc.);
  • Applications of WSAN in farming, horticultural, vehicular, and mobile systems; smart cities, manufacturing, health and medical care; environment and wildlife; and others;
  • WSAN as cyberphysical systems;
  • WSAN reliability, trust, security, and privacy;
  • Software-defined WSAN systems and infrastructure.

Prof. Dr. Taieb Znati
Prof. Dr. Lei Shu
Prof. Dr. Amiya Nayak
Dr. Sye Loong Keoh
Dr. Davide Patti
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Sensor and Actuator Networks is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

19 pages, 2042 KiB  
Article
A Dynamic Light-Weight Symmetric Encryption Algorithm for Secure Data Transmission via BLE Beacons
by Sam Banani, Surapa Thiemjarus, Kitti Wongthavarawat and Nattapong Ounanong
J. Sens. Actuator Netw. 2022, 11(1), 2; https://doi.org/10.3390/jsan11010002 - 27 Dec 2021
Cited by 8 | Viewed by 3987
Abstract
Pervasive sensing with Body Sensor Networks (BSNs) is a promising technology for continuous health monitoring. Since the sensor nodes are resource-limited, on-node processing and advertisement of digested information via BLE beacon is a promising technique that can enable a node gateway to communicate [...] Read more.
Pervasive sensing with Body Sensor Networks (BSNs) is a promising technology for continuous health monitoring. Since the sensor nodes are resource-limited, on-node processing and advertisement of digested information via BLE beacon is a promising technique that can enable a node gateway to communicate with more sensor nodes and extend the sensor node’s lifetime before requiring recharging. This study proposes a Dynamic Light-weight Symmetric (DLS) encryption algorithm designed and developed to address the challenges in data protection and real-time secure data transmission via message advertisement. The algorithm uses a unique temporal encryption key to encrypt each transmitting packet with a simple function such as XOR. With small additional overhead on computational resources, DLS can significantly enhance security over existing baseline encryption algorithms. To evaluate its performance, the algorithm was utilized on beacon data encryption over advertising channels. The experiments demonstrated the use of the DLS encryption algorithm on top of various light-weight symmetric encryption algorithms (i.e., TEA, XTEA, PRESENT) and a MD5 hash function. The experimental results show that DLS can achieve acceptable results for avalanche effect, key sensitivity, and randomness in ciphertexts with a marginal increase in the resource usage. The proposed DLS encryption algorithm is suitable for implementation at the application layer, is light and energy efficient, reduces/removes the need for secret key exchange between sensor nodes and the server, is applicable to dynamic message size, and also protects against attacks such as known plaintext attack, brute-force attack, replaying attack, and differential attack. Full article
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24 pages, 2024 KiB  
Article
Networking for Cloud Robotics: The DewROS Platform and Its Application
by Alessio Botta, Jonathan Cacace, Riccardo De Vivo, Bruno Siciliano and Giorgio Ventre
J. Sens. Actuator Netw. 2021, 10(2), 34; https://doi.org/10.3390/jsan10020034 - 14 Jun 2021
Cited by 6 | Viewed by 3075
Abstract
With the advances in networking technologies, robots can use the almost unlimited resources of large data centers, overcoming the severe limitations imposed by onboard resources: this is the vision of Cloud Robotics. In this context, we present DewROS, a framework based on the [...] Read more.
With the advances in networking technologies, robots can use the almost unlimited resources of large data centers, overcoming the severe limitations imposed by onboard resources: this is the vision of Cloud Robotics. In this context, we present DewROS, a framework based on the Robot Operating System (ROS) which embodies the three-layer, Dew-Robotics architecture, where computation and storage can be distributed among the robot, the network devices close to it, and the Cloud. After presenting the design and implementation of DewROS, we show its application in a real use-case called SHERPA, which foresees a mixed ground and aerial robotic platform for search and rescue in an alpine environment. We used DewROS to analyze the video acquired by the drones in the Cloud and quickly spot signs of human beings in danger. We perform a wide experimental evaluation using different network technologies and Cloud services from Google and Amazon. We evaluated the impact of several variables on the performance of the system. Our results show that, for example, the video length has a minimal impact on the response time with respect to the video size. In addition, we show that the response time depends on the Round Trip Time (RTT) of the network connection when the video is already loaded into the Cloud provider side. Finally, we present a model of the annotation time that considers the RTT of the connection used to reach the Cloud, discussing results and insights into how to improve current Cloud Robotics applications. Full article
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