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Electronics
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Advanced Technologies in Low Power Wide Area Networks (LPWAN)
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Advanced Technologies in Low Power Wide Area Networks (LPWAN)

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 4120

Special Issue Editor

Prof. Dr. Alessandro Pozzebon

E-Mail Website
Guest Editor
Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy
Interests: IoT; LoRaWAN
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The emergence of the Internet of Things concept in the last ten years has radically changed the approach to the development of networked systems. The vast number of items that are expected to be connected to the Internet has led to the need for data transmission technologies whose features are totally different from the ones of personal communication devices. The key requirements for these technologies are rather long range, low power, low cost, and great capacity, instead of reduced latency, great speed, and large bandwidth. In this context, low-power wide area networks (LPWANs) can play a crucial role since they have been customized for the IoT scenario. Technologies like LoRa and LoRaWAN, SigFox, or other Sub-GHz systems are employed in an ever-increasing number of application scenarios, while NB-IoT has opened the way to IoT-based cellular solutions.

This Special Issue invites original contributions on topics related to LPWAN technologies and their possible applications, related to, but not limited to the following topics:

  • LPWAN technologies and architectures
  • LPWAN-based sensor and actuator networks
  • LPWAN infrastructures for Smart Cities
  • LPWAN systems for Industry 4.0
  • LPWAN architectures for the Internet of Things
  • Sub-GHz technologies and protocols
  • IEEE 802.15.4 solutions within the LPWAN context
  • LoRa technology and applications
  • SigFox technology and applications
  • LoRaWAN protocol, platforms, and applications
  • NB-IoT technology and applications
  • Integration of different LPWAN technologies
  • 5G technologies for the Internet of Things

Dr. Alessandro Pozzebon
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. Electronics 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 2400 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

  • LPWAN
  • IoT
  • LoRa
  • LoRaWAN
  • SigFox
  • Sub-GHz
  • NB-IoT
  • wireless sensor networks

Published Papers (1 paper)

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Research

21 pages, 3942 KiB  
Article
An Energy-Efficient Fail Recovery Routing in TDMA MAC Protocol-Based Wireless Sensor Network
by Odilbek Urmonov and HyungWon Kim
Electronics 2018, 7(12), 444; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics7120444 - 17 Dec 2018
Cited by 4 | Viewed by 3404
Abstract
Conventional IoT applications rely on seamless data collection from the distributed sensor nodes of Wireless Sensor Networks (WSNs). The energy supplied to the sensor node is limited and it depletes after each cycle of data collection. Therefore, data flow from the network to [...] Read more.
Conventional IoT applications rely on seamless data collection from the distributed sensor nodes of Wireless Sensor Networks (WSNs). The energy supplied to the sensor node is limited and it depletes after each cycle of data collection. Therefore, data flow from the network to the base station may cease at any time due to the nodes with a dead battery. A replacement of the battery in WSNs is often challenging and requires additional efforts. To ensure the robust operation of WSNs, many fault recovery routing mechanisms have been proposed. Most of the previous fault recovery routing methods incur considerable delays in recovery and high overhead in either energy consumption or device cost. We propose an energy-efficient fail recovery routing method that is aimed to operate over a data aggregation network topology using a TDMA media access control (MAC). This paper introduces a novel fault recovery routing algorithm for TDMA-based WSNs. It finds an optimal neighbor backup parent (NBP) for each node in a way that reduces the energy consumption. The proposed method allows the NBPs to utilize the time slot of the faulty parent nodes, so it eliminates the overhead of TDMA rescheduling for NBPs. To evaluate the fault recovery performance and energy efficiency of the proposed method, we implemented it in C++ simulation program. Simulation experiments with an extensive set of network examples demonstrate that the proposed method can extend the network lifetime by 21% and reduce the energy consumption by 23% compared with the reference methods. Full article
(This article belongs to the Special Issue Advanced Technologies in Low Power Wide Area Networks (LPWAN))
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