Special Issue "Machine to Machine Communications and Internet of Things (IoT)"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (28 February 2018)

Special Issue Editor

Guest Editor
Dr. Lorenzo Vangelista

Department of Information Engineering, Padova University, Italy
Website | E-Mail
Interests: telecommunications; signal processing; internet of things

Special Issue Information

Dear Colleagues,

Machine-to-Machine (M2M) communications and Internet of Things (IoT) are playing an ever-increasing role in our society, our economy and in the broad research on ICT at all levels. M2M and IoT are among of the most pervasive technologies, and many fields such as the industrial production, the healthcare, the energy production and distribution, the smart cities (just to name a few), the smart home are going to have M2M and IoT as their backbone and foundation.

The last few years have been exciting for IoT and M2M in many respects, including:

  • The emergence of new standards and paradigms such as NB-IoT, WiSUN, IEEE 802.11ah and the Low Power Wide Area Networks such as, for example, SigFox and LoRa
  • The emerging importance of IoT and M2M platforms from major IT companies or dedicated, for example, to the Industrial Internet of Things
  • The application of tools and techniques such as Machine Learning and Big Data to the huge amount of data generated by sensors and actuators  
  • The emergence of a number of consortia and interest groups to promote the application of  IoT and M2M in specific application domains
  • The interest, at the level of major standardization institution in ICT, such a IETF, for establishing a common IPv6 foundation for many different LPWAN including LoRa, SigFox, WiSUN and NB-IoT

Therefore, the purpose of this Special Issue is to publish high-quality research, both from academic and industrial stakeholders, and serves as an outlet for disseminating innovative solutions towards meeting the expectation of M2M and IoT communities. Original, high quality contributions that have not yet been published, submitted, or are not currently under review by other journals or peer-reviewed conferences are sought.

Prof. Lorenzo Vangelista
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 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. Information is an international peer-reviewed open access monthly 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 850 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

  • M2M
  • IoT
  • Physical layer of M2M and IoT
  • MAC protocols for M2M and IoT
  • Network protocols for M2M and IoT
  • Standardization efforts for M2M and IoT
  • Application frameworks and platforms for M2M and IoT
  • Industrial IoT
  • IoT for Smart Cities
  • Machine Learning for IoT
  • Big Data for IoT
  • Low Power Wide Area Networks

Published Papers (2 papers)

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Research

Open AccessFeature PaperArticle IPv6 Convergence for IoT Cyber–Physical Systems
Information 2018, 9(4), 70; https://doi.org/10.3390/info9040070
Received: 7 March 2018 / Revised: 21 March 2018 / Accepted: 22 March 2018 / Published: 27 March 2018
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Abstract
We describe the evolution of the IoT towards a heterogeneous multitopology network subject to dynamic change and volatility yet still capable of secure and dependable operation. As part of this evolution, we outline the key changes in wireless communications technologies and heterogeneous networking
[...] Read more.
We describe the evolution of the IoT towards a heterogeneous multitopology network subject to dynamic change and volatility yet still capable of secure and dependable operation. As part of this evolution, we outline the key changes in wireless communications technologies and heterogeneous networking that have arisen during the development of the IoT. We briefly outline the emerging area of cyber–physical systems, and associated technical challenges. We then describe how IP convergence can be viewed as the narrow waist connecting endpoint devices and fieldbus devices with applications and services in new Industry 4.0, and cyber–physical system use cases. We outline how a protocol-packing approach can be used for encapsulating LoRaWAN frames with IEEE 802.15.4 and IEEE 802.11 frames. Extending this, we propose a method for ultracompressed IPv6 signaling, and detail how this can be achieved in an example low-power wide-area technology, namely LoRaWAN. To support our proposed approach, we provide real-world analyses where IPv6 commands undergo a process of ultracompression and are then conveyed to a LoRaWAN endpoint. We find that IPv6 command ultracompression can potentially support command packet sizes that are over 20x smaller than the reported worst-case maximum protocol data unit size of 81 bytes. Full article
(This article belongs to the Special Issue Machine to Machine Communications and Internet of Things (IoT))
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Open AccessArticle Inspired from Ants Colony: Smart Routing Algorithm of Wireless Sensor Network
Information 2018, 9(1), 23; https://doi.org/10.3390/info9010023
Received: 14 December 2017 / Revised: 11 January 2018 / Accepted: 17 January 2018 / Published: 22 January 2018
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Abstract
In brief, Wireless Sensor Networks (WSNs) are a set of limited power nodes, used for gathering the determined data of an area. Increasing the lifetime is the main challenge to optimize WSNs routing protocols, since the sensors’ energy in most cases is limited.
[...] Read more.
In brief, Wireless Sensor Networks (WSNs) are a set of limited power nodes, used for gathering the determined data of an area. Increasing the lifetime is the main challenge to optimize WSNs routing protocols, since the sensors’ energy in most cases is limited. In this respect, this article introduces a novel smart routing algorithm of wireless sensor networks, consisting of stable nodes randomly dispersed, and this approach is inspired from ant colonies. The proposed algorithm takes into consideration the distance between two nodes, the chosen path length and the nodes’ residual energy so as to update the choice probability of the next node among the neighbouring nodes, contrary to several routing algorithms; on the one hand, the nodes are aggregating data of their predecessors and sending to all to their successors; on the other hand, the source is almost always changed in each iteration. Consequently, the energy consumption is balanced between the nodes. Hence, the network lifetime will be increased. Detailed descriptions and a set of simulation using Matlab is provided to measure the network lifetime and the energy consumed by nodes of the proposed approach are presented. The replications’ consequences of simulations prove the success of our future routing algorithm (SRA). Full article
(This article belongs to the Special Issue Machine to Machine Communications and Internet of Things (IoT))
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