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Special Issue "Surveys of Sensor Networks and Sensor Systems Deployments"

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

Deadline for manuscript submissions: closed (1 June 2020).

Special Issue Editors

Prof. Dr. Jaime Lloret Mauri
Website
Guest Editor
Department of Communications, Polytechnic University of Valencia, Valencia, Spain
Interests: network protocols; network algorithms; wireless sensor networks; ad hoc networks; multimedia streaming
Special Issues and Collections in MDPI journals
Prof. Dr. Joel J. P. C. Rodrigues
Website
Guest Editor
Federal University of Piauí (UFPI), Teresina-Pi 64049-550, Brazil;
Instituto de Telecomunicações, 1049-001 Lisboa, Portugal
Interests: Internet of Things; wireless and body sensor networks; mobile and eHealth technologies; future internet technologies; vehicular communications; mobile and cloud computing
Special Issues and Collections in MDPI journals
Prof. Dr. Lei Shu
Website
Guest Editor
1. School of Artificial Intelligence, Nanjing Agricultural University, Nanjing, 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 diagnosiswireless sensor networks; multimedia communication; middleware; security
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In the last decade, there have been huge advances in the wireless sensor networks field. The research community started with some theoretical proposals, and now we have sensor network deployments everywhere. Low-cost and low energy consumption hardware of small devices with high processing computation and large memory capacity have made this success possible. This Special Issue is focused on gathering the most interesting surveys of wireless sensor network deployments in any type of environment.

Dr. Jaime Lloret Mauri
Prof. Dr. Joel J. P. C. Rodrigues
Prof. Dr. Lei Shu
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 papers will be 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 2200 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 in agriculture
  • Underwater wireless sensor networks
  • Wireless sensor networks in aquaculture
  • Wireless sensor networks for health monitoring
  • Wireless sensor networks for Smart cities
  • Wireless sensor networks in in forests
  • Wireless sensor networks for building monitoring

Published Papers (6 papers)

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Review

Open AccessReview
Game Theory in Mobile CrowdSensing: A Comprehensive Survey
Sensors 2020, 20(7), 2055; https://doi.org/10.3390/s20072055 - 06 Apr 2020
Cited by 1
Abstract
Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart city and Internet of Things (IoT) data. MCS requires large number of users to enable access to the built-in sensors in their mobile devices and share sensed data to ensure [...] Read more.
Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart city and Internet of Things (IoT) data. MCS requires large number of users to enable access to the built-in sensors in their mobile devices and share sensed data to ensure high value and high veracity of big sensed data. Improving user participation in MCS campaigns requires to boost users effectively, which is a key concern for the success of MCS platforms. As MCS builds on non-dedicated sensors, data trustworthiness cannot be guaranteed as every user attains an individual strategy to benefit from participation. At the same time, MCS platforms endeavor to acquire highly dependable crowd-sensed data at lower cost. This phenomenon introduces a game between users that form the participant pool, as well as between the participant pool and the MCS platform. Research on various game theoretic approaches aims to provide a stable solution to this problem. This article presents a comprehensive review of different game theoretic solutions that address the following issues in MCS such as sensing cost, quality of data, optimal price determination between data requesters and providers, and incentives. We propose a taxonomy of game theory-based solutions for MCS platforms in which problems are mainly formulated based on Stackelberg, Bayesian and Evolutionary games. We present the methods used by each game to reach an equilibrium where the solution for the problem ensures that every participant of the game is satisfied with their utility with no requirement of change in their strategies. The initial criterion to categorize the game theoretic solutions for MCS is based on co-operation and information available among participants whereas a participant could be either a requester or provider. Following a thorough qualitative comparison of the surveyed approaches, we provide insights concerning open areas and possible directions in this active field of research. Full article
(This article belongs to the Special Issue Surveys of Sensor Networks and Sensor Systems Deployments)
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Open AccessFeature PaperReview
A Survey of Using Swarm Intelligence Algorithms in IoT
Sensors 2020, 20(5), 1420; https://doi.org/10.3390/s20051420 - 05 Mar 2020
Cited by 3
Abstract
With the continuing advancements in technologies (such as machine to machine, wireless telecommunications, artificial intelligence, and big data analysis), the Internet of Things (IoT) aims to connect everything for information sharing and intelligent decision-making. Swarm intelligence (SI) provides the possibility of SI behavior [...] Read more.
With the continuing advancements in technologies (such as machine to machine, wireless telecommunications, artificial intelligence, and big data analysis), the Internet of Things (IoT) aims to connect everything for information sharing and intelligent decision-making. Swarm intelligence (SI) provides the possibility of SI behavior through collaboration in individuals that have limited or no intelligence. Its potential parallelism and distribution characteristics can be used to realize global optimization and solve nonlinear complex problems. This paper reviews representative SI algorithms and summarizes their applications in the IoT. The main focus consists in the analysis of SI-enabled applications to wireless sensor network (WSN) and discussion of related research problems in the WSN. Also, we concluded SI-based applications in other IoT fields, such as SI in UAV-aided wireless network. Finally, possible research prospects and future trends are drawn. Full article
(This article belongs to the Special Issue Surveys of Sensor Networks and Sensor Systems Deployments)
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Open AccessReview
IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture
Sensors 2020, 20(4), 1042; https://doi.org/10.3390/s20041042 - 14 Feb 2020
Cited by 23
Abstract
Water management is paramount in countries with water scarcity. This also affects agriculture, as a large amount of water is dedicated to that use. The possible consequences of global warming lead to the consideration of creating water adaptation measures to ensure the availability [...] Read more.
Water management is paramount in countries with water scarcity. This also affects agriculture, as a large amount of water is dedicated to that use. The possible consequences of global warming lead to the consideration of creating water adaptation measures to ensure the availability of water for food production and consumption. Thus, studies aimed at saving water usage in the irrigation process have increased over the years. Typical commercial sensors for agriculture irrigation systems are very expensive, making it impossible for smaller farmers to implement this type of system. However, manufacturers are currently offering low-cost sensors that can be connected to nodes to implement affordable systems for irrigation management and agriculture monitoring. Due to the recent advances in IoT and WSN technologies that can be applied in the development of these systems, we present a survey aimed at summarizing the current state of the art regarding smart irrigation systems. We determine the parameters that are monitored in irrigation systems regarding water quantity and quality, soil characteristics and weather conditions. We provide an overview of the most utilized nodes and wireless technologies. Lastly, we will discuss the challenges and the best practices for the implementation of sensor-based irrigation systems. Full article
(This article belongs to the Special Issue Surveys of Sensor Networks and Sensor Systems Deployments)
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Open AccessReview
A Survey on Detection, Tracking and Identification in Radio Frequency-Based Device-Free Localization
Sensors 2019, 19(23), 5329; https://doi.org/10.3390/s19235329 - 03 Dec 2019
Cited by 8
Abstract
The requirement of active localization techniques to attach a hardware device to the targets that need to be located can be difficult or even impossible for certain applications. For this reason, there has been an increasing interest in tagless or device-free localization (DFL) [...] Read more.
The requirement of active localization techniques to attach a hardware device to the targets that need to be located can be difficult or even impossible for certain applications. For this reason, there has been an increasing interest in tagless or device-free localization (DFL) approaches. In particular, the research domain of RF-based device-free localization has been steadily evolving since its inception slightly over a decade ago. Many novel techniques have been developed regarding the three core aspects of DFL: detection, tracking, and identification. The increasing use of channel state information (CSI) has contributed considerably to these developments. In particular, the progress it enabled regarding the exceptionally difficult `identification problem’ has been highly impressive. In this survey, we provide a comprehensive overview of this evolutionary process, describe essential DFL concepts and highlight several key techniques whose creation marked important milestones within this field of research. We do so in a structured manner in which each technique is categorized according to the DFL core aspect it emphasizes most. Additionally, we discuss current blocking issues within the state-of-the-art and suggest multiple high-level research directions which will aid in the search towards eventual solutions. Full article
(This article belongs to the Special Issue Surveys of Sensor Networks and Sensor Systems Deployments)
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Open AccessReview
Blockchain in Smart Grids: A Review on Different Use Cases
Sensors 2019, 19(22), 4862; https://doi.org/10.3390/s19224862 - 08 Nov 2019
Cited by 28
Abstract
With the integration of Wireless Sensor Networks and the Internet of Things, the smart grid is being projected as a solution for the challenges regarding electricity supply in the future. However, security and privacy issues in the consumption and trading of electricity data [...] Read more.
With the integration of Wireless Sensor Networks and the Internet of Things, the smart grid is being projected as a solution for the challenges regarding electricity supply in the future. However, security and privacy issues in the consumption and trading of electricity data pose serious challenges in the adoption of the smart grid. To address these challenges, blockchain technology is being researched for applicability in the smart grid. In this paper, important application areas of blockchain in the smart grid are discussed. One use case of each area is discussed in detail, suggesting a suitable blockchain architecture, a sample block structure and the potential blockchain technicalities employed in it. The blockchain can be used for peer-to-peer energy trading, where a credit-based payment scheme can enhance the energy trading process. Efficient data aggregation schemes based on the blockchain technology can be used to overcome the challenges related to privacy and security in the grid. Energy distribution systems can also use blockchain to remotely control energy flow to a particular area by monitoring the usage statistics of that area. Further, blockchain-based frameworks can also help in the diagnosis and maintenance of smart grid equipment. We also discuss several commercial implementations of blockchain in the smart grid. Finally, various challenges to be addressed for integrating these two technologies are discussed. Full article
(This article belongs to the Special Issue Surveys of Sensor Networks and Sensor Systems Deployments)
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Open AccessReview
A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring
Sensors 2019, 19(21), 4690; https://doi.org/10.3390/s19214690 - 28 Oct 2019
Cited by 11
Abstract
Integrated systems based on wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large scale monitoring. Main advances stemming both from complex system architectures as well as powerful embedded computing and communication platforms, advanced [...] Read more.
Integrated systems based on wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large scale monitoring. Main advances stemming both from complex system architectures as well as powerful embedded computing and communication platforms, advanced sensing and networking protocols have been leveraged to prove the viability of this concept. The design of suitable algorithms for data processing, communication and control across previously disparate domains has thus currently become an intensive area of interdisciplinary research. The paper was focused on the collaborative aspects of UAV–WSN systems and the reference papers were analyzed from this point of view, on each functional module. The paper offers a timely review of recent advances in this area of critical interest with focus on a comparative perspective across multiple recent theoretical and applied contributions. A systematic approach is carried out in order to structure a unitary from conceptual design towards key implementation aspects. Focus areas are identified and discussed such as distributed data processing algorithms, hierarchical multi-protocol networking aspects and high level WSN–constrained UAV-control. Application references are highlighted in various domains such as environmental, agriculture, emergency situations and homeland security. Finally, a research agenda is outlined to advance the field towards tangible economic and social impact. Full article
(This article belongs to the Special Issue Surveys of Sensor Networks and Sensor Systems Deployments)
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