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New Trends in Wireless Sensor and Actuator Networks
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New Trends in Wireless Sensor and Actuator Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (25 November 2022) | Viewed by 4481

Special Issue Editor

Dr. Hossein Anisi

E-Mail Website
Guest Editor
School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
Interests: wireless sensor and actuator networks; body area networks; internet of things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wireless sensor network (WSN) comprises of a wireless network of tiny devices that are equipped with sensors to monitor physical and environmental conditions. Such devices could interact with different actuators such as servos, motors, drone and form a wireless sensor and actuator network (WSAN). WSANs could be used to collect info from the region of interest (i.e. environment, building structures, farms, human body, etc) and autonomously control the required aspects of the target.

WSANs are considered as one of the main building blocks of Internet of Things (IoT) and Industry 4.0 to create smart environments, cities, healthcare, etc.  However, there are several challenges that need to be tackled to effectively deploy the WSANs and provide reliable services such as dynamic and intelligent management of the sensors and actuators, resource constraint nature of the network nodes, seamless, robust and secure communication between the devices.

This special issue aims to bring together scholars to discuss and present their latest research and findings on all the aspects of WSANs.

Topics of primary interest include but are not limited to:

  • Power management and energy harvesting in WSANs
  • Cloud/mobile edge/fog computing in WSANs
  • Image processing and computer vision
  • Security and privacy in WSANs
  • Medium access control protocols
  • Communication architectures for WSANs
  • Cooperative and bio-inspired algorithms for WSANs
  • Machine learning and deep learning techniques
  • Localization and positioning 
  • Novel applications of WSANs

Dr. Hossein Anisi
Guest Editor

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. Sensors 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 2600 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.

Keywords

  • Wireless Sensor Networks
  • Internet of Things
  • Sensors and actuators
  • Smart City
  • Industry 4.0

Published Papers (2 papers)

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Research

14 pages, 3854 KiB  
Article
An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks
by Neng-Chung Wang, Ming-Fong Tsai, Chao-Yang Lee, Young-Long Chen and Shih-Hsun Wong
Sensors 2023, 23(5), 2783; https://doi.org/10.3390/s23052783 - 03 Mar 2023
Cited by 1 | Viewed by 1332
Abstract
In a wireless sensor network (WSN), geocasting is a location-based routing protocol used for data collection or information delivery. In geocasting, a target region usually contains many sensor nodes with limited battery capacity, and sensor nodes in multiple target regions need to transmit [...] Read more.
In a wireless sensor network (WSN), geocasting is a location-based routing protocol used for data collection or information delivery. In geocasting, a target region usually contains many sensor nodes with limited battery capacity, and sensor nodes in multiple target regions need to transmit data to the sink. Therefore, how to use location information to construct an energy efficient geocasting path is a very important issue. FERMA is a geocasting scheme for WSNs based on Fermat points. In this paper, an efficient grid-based geocasting scheme for WSNs, which is called GB-FERMA, is proposed. The scheme uses the Fermat point theorem to search for the specific nodes as Fermat points in a grid-based WSN, and it selects the optimal relay nodes (gateways) in the grid structure to realize energy-aware forwarding. In the simulations, when the initial power 0.25 J, the average energy consumption of GB-FERMA is about 53% of FERMA-QL, 37% of FERMA, and 23% of GEAR; however, when with the initial power 0.5 J, the average energy consumption of GB-FERMA is about 77% of FERMA-QL, 65% of FERMA, and 43% of GEAR. The proposed GB-FERMA can effectively reduce the energy consumption and thus prolong the lifetime of the WSN. Full article
(This article belongs to the Special Issue New Trends in Wireless Sensor and Actuator Networks)
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15 pages, 5297 KiB  
Article
Transmission Power Control in Wireless Sensor Networks Using Fuzzy Adaptive Data Rate
by Chung-Wen Hung, Yi-Da Zhuang, Ching-Hung Lee, Chun-Chieh Wang and Hsi-Hsun Yang
Sensors 2022, 22(24), 9963; https://doi.org/10.3390/s22249963 - 17 Dec 2022
Cited by 6 | Viewed by 2116
Abstract
As the technology of Internet of Things (IoT) becomes popular, the number of sensor nodes also increases. The network coverage, extensibility, and reliability are also the key points of technical development. To address the challenge of environmental restriction and deployment cost, most sensor [...] Read more.
As the technology of Internet of Things (IoT) becomes popular, the number of sensor nodes also increases. The network coverage, extensibility, and reliability are also the key points of technical development. To address the challenge of environmental restriction and deployment cost, most sensor nodes are powered by batteries. Therefore, the low-power consumption becomes an important issue because of the finite value of battery capacity. In addition, significant interference occurs in the environment, thereby complicating reliable wireless communication. This study proposes a fuzzy-based adaptive data rate for the transmission power control in wireless sensor networks to balance the communication quality and power consumption. The error count and error interval perform the inputs of a fuzzy system and the corresponding fuzzy system output is guard that is utilized for limiting the upper bounds of data rate and transmission power. The long-term experimental results are introduced to demonstrate that the control algorithm can overcome environmental interference and obtain low-power performance. The sensor nodes have reliable communication under an ultra-low-power consumption. The experimental results show that the total power consumption of the proposed approach has been improved 73% compared with the system without executing the algorithm and also indicate the Packet Error Rate (PER) is close to 1%. Therefore, the proposed method is suitable for the battery supply IoT system. Full article
(This article belongs to the Special Issue New Trends in Wireless Sensor and Actuator Networks)
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