Sensors and Sensing System for Internet of Things

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708).

Deadline for manuscript submissions: closed (15 December 2016)

Special Issue Editor


E-Mail Website
Guest Editor
Integrated Systems Laboratory, ETZ J68.2, Gloriastr. 35, 8092 Zurich, Switzerland
Interests: wireless sensor networks; embedded system; low power sensing; energy harvesting; energy efficient devices and communication; signal processing; wearable devices and applications

Special Issue Information

Dear Colleagues,

Sensing is the key to the IoT paradigm: from raw sensor data from the physical world to in situ sensor data processing on IoT devices. Applications involving environmental monitoring, security management, medical applications, smart homes, agriculture, and smart cities, are increasingly using IoT sensors. However, ensuring long-term operation is still one of the most important challenges of such a technology.

This Special Issue emphasizes the challenges, issues, and opportunities in the research, design, and engineering of low power sensing, focusing on techniques, strategies, and algorithms applied to real examples of IoT applications, with special emphasis on wearable and mobile applications. The Special Issue welcomes contribution in deployments and in-field tests and the measurement of low-power devices, as well as original and not previously-published submissions.

We are looking for contributions that are able to show a remarkable reduction of the overall power consumption, and able to extended the lifetime of IoT devices, sensors, and sensing systems, as well as in applications, which exploit energy-aware or low-power algorithms. The aim of this Special Issue is to attract researchers and practitioners from academia and industry, in order to provide an environment for discussion, sharing their experiences of using advanced power management techniques, low power designs, and energy-efficient algorithms on real IoT and sensor applications.

Potential topics include, but are not limited to:

  • Experiences from real-world low-power IoT applications and deployments; power management algorithms for energy harvesting sensing systems;
  • Wearable and mobile sensing and systems
  • Architectures for energy-neutral sensing systems;
  • Resilient energy-neutral sensors;
  • IoT—Internet of (battery-less) things;
  • Applications of low power Internet of Sensors (IoS)
  • Energy harvesting and energy aware design;
  • Low power design of the sensors node;
  • Energy-efficient algorithms for applications and networks;
  • Ultra-low power communications and protocols;
  • Asynchronous mechanism and wake up radio

Dr. Michele Magno
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. 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)

Order results
Result details
Select all
Export citation of selected articles as:

Research

7489 KiB  
Article
Design and Implementation of a CoAP-Compliant Solution for RFID Inclusion in the Internet of Things
by Ivan Farris, Sara Pizzi, Antonella Molinaro and Antonio Iera
J. Sens. Actuator Netw. 2016, 5(4), 16; https://doi.org/10.3390/jsan5040016 - 01 Nov 2016
Viewed by 7994
Abstract
Recent technological advancements allowed widening the applicability scope of the RFID (Radio Frequency Identification) technology from item identification to sensor-enabled computation platforms. This feature, added to the native radio energy-harvesting capability and the extremely low power consumption, has attracted the interest of research [...] Read more.
Recent technological advancements allowed widening the applicability scope of the RFID (Radio Frequency Identification) technology from item identification to sensor-enabled computation platforms. This feature, added to the native radio energy-harvesting capability and the extremely low power consumption, has attracted the interest of research and industrial communities and pushed them to include the RFID technology into a global network of interconnected objects, as envisaged by the Internet of Things paradigm. In the last few years, standardization bodies have made significant efforts to design lightweight approaches, such as CoAP (Constrained Application Protocol), to efficiently manage resource-constrained nodes by using traditional web interfaces; nevertheless, RFID integration is not addressed yet. In this paper, we propose a CoAP-compliant solution where RFID tags, behaving as virtual CoAP servers, are directly accessible by remote CoAP clients via a reader, which acts as a CoAP proxy. A real testbed, addressing key aspects, such as tag addressing, discovery and management of CoAP requests via RFID operations, is deployed to validate the feasibility of the proposal. Experimental results show rapid response times: less than 60 ms are requested for resource retrieval, while from 80 to 360 ms for sending data to the RFID device, depending on the tag memory dimension. Full article
(This article belongs to the Special Issue Sensors and Sensing System for Internet of Things)
Show Figures

Figure 1

5328 KiB  
Article
FLEHAP: A Wind Powered Supply for Autonomous Sensor Nodes
by Gregorio Boccalero, Corrado Boragno, Daniele D. Caviglia and Remy Morasso
J. Sens. Actuator Netw. 2016, 5(4), 15; https://doi.org/10.3390/jsan5040015 - 10 Oct 2016
Cited by 13 | Viewed by 7117
Abstract
The development of the Internet of Things infrastructure requires the deployment of millions of heterogeneous sensors embedded in the environment. The powering of these sensors cannot be done with wired connections, and the use of batteries is often impracticable. Energy harvesting is the [...] Read more.
The development of the Internet of Things infrastructure requires the deployment of millions of heterogeneous sensors embedded in the environment. The powering of these sensors cannot be done with wired connections, and the use of batteries is often impracticable. Energy harvesting is the common proposed solution, and many devices have been developed for this purpose, using light, mechanical vibrations, and temperature differences as energetic sources. In this paper we present a novel energy-harvester device able to capture the kinetic energy from a fluid in motion and transform it in electrical energy. This device, named FLEHAP (FLuttering Energy Harvester for Autonomous Powering), is based on an aeroelastic effect, named fluttering, in which a totally passive airfoil shows large and regular self-sustained motions (limit cycle oscillations) even in extreme conditions (low Reynolds numbers), thanks to its peculiar mechanical configuration. This system shows, in some centimeter-sized configurations, an electrical conversion efficiency that exceeds 8% at low wind speed (3.5 m/s). By using a specialized electronic circuit, it is possible to store the electrical energy in a super capacitor, and so guarantee self-powering in such environmental conditions. Full article
(This article belongs to the Special Issue Sensors and Sensing System for Internet of Things)
Show Figures

Figure 1

Back to TopTop