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Special Issue "Sensor Systems for Internet of Things"

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

Deadline for manuscript submissions: 31 October 2019

Special Issue Editors

Guest Editor
Dr. Francisco Falcone

Department of Electrical and Electronic Engineering, Public University of Navarre, 31006 Pamplona, Navarra, Spain
Website | E-Mail
Interests: electromagnetic modelling; simulation and design; wireless systems; context-aware environments; smart cities; internet of things
Guest Editor
Prof. Dr. Jaime Lloret Mauri

Department of Communications, Polytechnic University of Valencia, Camino de Vera 46022, Valencia, Spain
Website | E-Mail
Phone: +34609549043
Interests: network protocols; network algorithms; wireless sensor networks; ad hoc networks; multimedia streaming

Special Issue Information

Dear Colleague,

Internet of Things (IoT) technology makes it possible to gather data from everywhere and it can be used for any type of environment (e.g., cities, rural zones, etc.). Sensors and sensor networks allow all “things” to communicate directly with each other to share vital information, allowing us to have everything monitored and leading to better services. Moreover, accurate data is readily available to inform optimal decision making. The IoT enables a wide range of new capabilities and services. It changes how people go about their lives and their belongings. The scale of the IoT is set to have major economic, social, and environmental impacts, the intersection of which forms future sustainable growth.

This Special issue is an open call, but we encourage the submission of the best selected papers of the IEEE Internet of Things: Systems, Management and Security (IoTSMS 2018) meeting held in Valencia, Spain on 15–18 October 2018. The scope of the Special Issue is placed on IoT development, analysis, and integration, with a focus on the role of sensor systems and information gathering and processing techniques of IoT ecosystems.

You are welcome to submit an unpublished original research work related to the theme of “Sensor Systems for Internet of Things”.

Prof. Dr. Francisco Falcone
Assoc. Prof. Dr. Jaime Lloret Mauri
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 1800 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

  • sensor system architectures for IoT
  • communication in IoT
  • modeling of sensor systems in IoT applications
  • SDN and NFV support for sensors in IoT applications and systems
  • fog and edge support for IoT applications
  • 5G support for IoT data transmission
  • IoT for Smart Cities
  • energy management in IoT
  • green Internet of Things
  • data management and Big Data in IoT
  • security and privacy of IoT
  • reliability of IoT
  • applications of IoT
  • cloud computing for IoT
  • IoT for sustainable growth

Published Papers (5 papers)

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Research

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Open AccessArticle COSMOS: Collaborative, Seamless and Adaptive Sentinel for the Internet of Things
Sensors 2019, 19(7), 1492; https://doi.org/10.3390/s19071492
Received: 18 February 2019 / Revised: 21 March 2019 / Accepted: 23 March 2019 / Published: 27 March 2019
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Abstract
The Internet of Things (IoT) became established during the last decade as an emerging technology with considerable potentialities and applicability. Its paradigm of everything connected together penetrated the real world, with smart devices located in several daily appliances. Such intelligent objects are able [...] Read more.
The Internet of Things (IoT) became established during the last decade as an emerging technology with considerable potentialities and applicability. Its paradigm of everything connected together penetrated the real world, with smart devices located in several daily appliances. Such intelligent objects are able to communicate autonomously through already existing network infrastructures, thus generating a more concrete integration between real world and computer-based systems. On the downside, the great benefit carried by the IoT paradigm in our life brings simultaneously severe security issues, since the information exchanged among the objects frequently remains unprotected from malicious attackers. The paper at hand proposes COSMOS (Collaborative, Seamless and Adaptive Sentinel for the Internet of Things), a novel sentinel to protect smart environments from cyber threats. Our sentinel shields the IoT devices using multiple defensive rings, resulting in a more accurate and robust protection. Additionally, we discuss the current deployment of the sentinel on a commodity device (i.e., Raspberry Pi). Exhaustive experiments are conducted on the sentinel, demonstrating that it performs meticulously even in heavily stressing conditions. Each defensive layer is tested, reaching a remarkable performance, thus proving the applicability of COSMOS in a distributed and dynamic scenario such as IoT. With the aim of easing the enjoyment of the proposed sentinel, we further developed a friendly and ease-to-use COSMOS App, so that end-users can manage sentinel(s) directly using their own devices (e.g., smartphone). Full article
(This article belongs to the Special Issue Sensor Systems for Internet of Things)
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Open AccessArticle Management Platforms and Protocols for Internet of Things: A Survey
Sensors 2019, 19(3), 676; https://doi.org/10.3390/s19030676
Received: 13 December 2018 / Revised: 4 January 2019 / Accepted: 12 January 2019 / Published: 7 February 2019
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Abstract
Internet of Things (IoT) management systems require scalability, standardized communication, and context-awareness to achieve the management of connected devices with security and accuracy in real environments. Interoperability and heterogeneity between hardware and application layers are also critical issues. To attend to the network [...] Read more.
Internet of Things (IoT) management systems require scalability, standardized communication, and context-awareness to achieve the management of connected devices with security and accuracy in real environments. Interoperability and heterogeneity between hardware and application layers are also critical issues. To attend to the network requirements and different functionalities, a dynamic and context-sensitive configuration management system is required. Thus, reference architectures (RAs) represent a basic architecture and the definition of key characteristics for the construction of IoT environments. Therefore, choosing the best technologies of the IoT management platforms and protocols through comparison and evaluation is a hard task, since they are difficult to compare due to their lack of standardization. However, in the literature, there are no management platforms focused on addressing all IoT issues. For this purpose, this paper surveys the available policies and solutions for IoT Network Management and devices. Among the available technologies, an evaluation was performed using features such as heterogeneity, scalability, supported technologies, and security. Based on this evaluation, the most promising technologies were chosen for a detailed performance evaluation study (through simulation and deployment in real environments). In terms of contributions, these protocols and platforms were studied in detail, the main features of each approach are highlighted and discussed, open research issues are identified as well as the lessons learned on the topic. Full article
(This article belongs to the Special Issue Sensor Systems for Internet of Things)
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Open AccessArticle Economic Analysis of a Multi-Sided Platform for Sensor-Based Services in the Internet of Things
Sensors 2019, 19(2), 373; https://doi.org/10.3390/s19020373
Received: 14 November 2018 / Revised: 14 January 2019 / Accepted: 15 January 2019 / Published: 17 January 2019
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Abstract
A business model for sensor-based services is proposed where a platform creates a multi-sided market. The business model comprises a platform that serves as an intermediary between human users, app developers, and sensor networks, so that the users use the apps and the [...] Read more.
A business model for sensor-based services is proposed where a platform creates a multi-sided market. The business model comprises a platform that serves as an intermediary between human users, app developers, and sensor networks, so that the users use the apps and the apps process the data supplied by the sensor networks. The platform, acting as a monopolist, posts a fee for each of the three sides so as to maximize its profit. This business model intends to mimic the market-creating innovation that main mobile apps platforms have generated in the smartphone sector. We conduct an analysis of the profit maximization problem faced by the platform, show that optimum prices exist for any parameter value, and show that these prices always induce an equilibrium in the number of agents from each side that join the platform. We show that the relative strength of the value that advertisers attach to the users determines the platform price structure. Depending on the value of this relative strength, two alternative subsidizing strategies are feasible: to subsidize either the users’ subscription or the developers’ registration. Finally, all agents benefit from an increase in the population at any of the three sides. This result provides a rationale for incentivizing not only the user participation, but also the entry of developer undertakings and the deployment of wireless sensor network infrastructure. Full article
(This article belongs to the Special Issue Sensor Systems for Internet of Things)
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Open AccessArticle LOADng-IoT: An Enhanced Routing Protocol for Internet of Things Applications over Low Power Networks
Sensors 2019, 19(1), 150; https://doi.org/10.3390/s19010150
Received: 12 December 2018 / Revised: 29 December 2018 / Accepted: 31 December 2018 / Published: 3 January 2019
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Abstract
The Internet of Things (IoT) is an emerging paradigm that proposes the connection of objects to exchange information in order to reach a common objective. In IoT networks, it is expected that the nodes will exchange data between each other and with external [...] Read more.
The Internet of Things (IoT) is an emerging paradigm that proposes the connection of objects to exchange information in order to reach a common objective. In IoT networks, it is expected that the nodes will exchange data between each other and with external Internet services. However, due to deployment costs, not all the network devices are able to communicate with the Internet directly. Thus, other network nodes should use Internet-connected nodes as a gateway to forward messages to Internet services. Considering the fact that main routing protocols for low-power networks are not able to reach suitable performance in the displayed IoT environment, this work presents an enhancement to the Lightweight On-demand Ad hoc Distance-vector Routing Protocol—Next Generation (LOADng) for IoT scenarios. The proposal, named LOADng-IoT, is based on three improvements that will allow the nodes to find Internet-connected nodes autonomously and dynamically, decreasing the control message overhead required for the route construction, and reducing the loss of data messages directed to the Internet. Based on the performed assessment study, which considered several number of nodes in dense, sparse, and mobility scenarios, the proposed approach is able to present significant results in metrics related to quality-of-service, reliability, and energy efficiency. Full article
(This article belongs to the Special Issue Sensor Systems for Internet of Things)
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Review

Jump to: Research

Open AccessReview Wireless Sensor Networks for Big Data Systems
Sensors 2019, 19(7), 1565; https://doi.org/10.3390/s19071565
Received: 14 January 2019 / Revised: 1 March 2019 / Accepted: 21 March 2019 / Published: 1 April 2019
PDF Full-text (749 KB) | HTML Full-text | XML Full-text
Abstract
Before discovering meaningful knowledge from big data systems, it is first necessary to build a data-gathering infrastructure. Among many feasible data sources, wireless sensor networks (WSNs) are rich big data sources: a large amount of data is generated by various sensor nodes in [...] Read more.
Before discovering meaningful knowledge from big data systems, it is first necessary to build a data-gathering infrastructure. Among many feasible data sources, wireless sensor networks (WSNs) are rich big data sources: a large amount of data is generated by various sensor nodes in large-scale networks. However, unlike typical wireless networks, WSNs have serious deficiencies in terms of data reliability and communication owing to the limited capabilities of the nodes. Moreover, a considerable amount of sensed data are of no interest, meaningless, and redundant when a large number of sensor nodes is densely deployed. Many studies address the existing problems and propose methods to overcome the limitations when constructing big data systems with WSN. However, a published paper that provides deep insight into this research area remains lacking. To address this gap in the literature, we present a comprehensive survey that investigates state-of-the-art research work on introducing WSN in big data systems. Potential applications and technical challenges of networks and infrastructure are presented and explained in accordance with the research areas and objectives. Finally, open issues are presented to discuss promising directions for further research. Full article
(This article belongs to the Special Issue Sensor Systems for Internet of Things)
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