Fast network joining algorithms in industrial IEEE 802.15.4 deployments

Vogli, Elvis; Ribezzo, Giuseppe; Grieco, Luigi Alfredo; Boggia, Gennaro

doi:10.1016/j.adhoc.2017.10.013

Cited by 40 publications

(27 citation statements)

References 26 publications

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“…Therefore, the technique of [12] exhibits an increase in energy and slot consumption, both of which are limited resources in TSCH. In [13,14], the author proposed four strategies to reduce the time required to connect to a network. He proposed random vertical (RV) filling, which is an algorithm for transmitting EB by selecting one of the channel offsets, and random horizontal (RH) filling, which selects one of the multi slot frames and transmits the EB.…”

Section: Eb Scheduling Algorithmmentioning

confidence: 99%

“…The slot frame length and the shared slot presented in [7] are specified, and EB transmission is possible only in the shared slot. EB transmission is transmitted using the RV method of [13,14], which randomly selects a channel during transmission. The transmission probability is 33% to reduce the collision probability of EBs or rendezvous packets.…”

Section: Experiments Setupmentioning

confidence: 99%

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Fast Synchronization Scheme Using 2-Way Parallel Rendezvous in IEEE 802.15.4 TSCH

Bae

Chung

2020

Sensors

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The high level of robustness and reliability required in industrial environments can be achieved using time-slotted channel hopping (TSCH) medium access control (MAC) specified in institute of electrical and electronics engineers (IEEE) 802.15.4. Using frequency channel hopping in the existing TSCH network, a parallel rendezvous technique is used to exchange packets containing channel information before network synchronization, thereby facilitating fast network synchronization. In this study, we propose a distributed radio listening (DRL)–TSCH technique that uses a two-way transmission strategy based on the parallel rendezvous technique to divide the listening channel by sharing the channel information between nodes before synchronization. The performance evaluation was conducted using the OpenWSN stack, and the actual experiment was carried out by utilizing the OpenMote-cc2538 module. The time taken for synchronization and the number of rendezvous packets transmitted were measured in linear and mesh topologies, and the amount of energy used was evaluated. The performance results demonstrate a maximum average reduction in synchronization time of 67% and a reduction in energy consumption of 58% when compared to the performance results of other techniques.

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Section: Eb Scheduling Algorithmmentioning

confidence: 99%

Section: Experiments Setupmentioning

confidence: 99%

Fast Synchronization Scheme Using 2-Way Parallel Rendezvous in IEEE 802.15.4 TSCH

Bae

Chung

2020

Sensors

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“…This part of research includes a great number of works on the M2M communication technological enabler, and more specifically concentrated on three of the main 802.15.4e MAC operation modes, Time Slotted Channel Hopping (TSCH), Deterministic and Synchronous Multi-channel Extension (DSME) and Low Latency Deterministic Network (LLDN) (for more details on the functions of those modes, the reader can consult [28]). Regarding the TSCH mode, the main research focus has been recently placed on synchronization, with some techniques using learning and prediction data from neighboring nodes [223], and other techniques using mutual synchronization of [223], [233], [237], [244], [250] IEEE 802.11(a/n) [230], [234], [236], [240], [241], [251], [ [246] distributed nodes [237], as well as on fast network joining algorithms [250]. Regarding the DSME mode, improved network formation has been studied in [244].…”

Section: Stationary Robotsmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

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“…Vogli et al propose and improve in [ 21 , 22 ] a series of mechanisms that improve the speed with which the nodes join the network, studying each of them using an analytical model. Duy et al [ 23 , 24 ] carry out another analysis on the problems of long delays in connecting to the network and propose a new slotframe-planning scheme to improve the efficiency of the TSCH union mechanism.…”

Section: Related Workmentioning

confidence: 99%

A Joining Procedure and Synchronization for TSCH-RPL Wireless Sensor Networks

Vera-Pérez

Todolí-Ferrandis

Climent

et al. 2018

Sensors

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Wireless Sensor Networks have become a key enabler for Industrial Internet of Things (IoT) applications; however, to adapt to the derived robust communication requirements, deterministic and scheduled medium access should be used, along with other features, such as channel hopping and frequency diversity. Implementing these mechanisms requires a correct synchronization of all devices in the network, a stage in deployment that can lead to non-operational networks. The present article presents an analysis of such situations and possible solutions, including the common current approaches and recommendations, and proposes a new beacon advertising method based on a specific Trickle Timer for the Medium Access Control (MAC) Time-Slotted Channel Hopping (TSCH) layer, decoupling from the timers in the network and routing layers. With this solution, improvements in connection success, time to join, and energy consumption can be obtained for the widely extended IEEE802.15.4e standard.

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Fast network joining algorithms in industrial IEEE 802.15.4 deployments

Cited by 40 publications

References 26 publications

Fast Synchronization Scheme Using 2-Way Parallel Rendezvous in IEEE 802.15.4 TSCH

Fast Synchronization Scheme Using 2-Way Parallel Rendezvous in IEEE 802.15.4 TSCH

Data Management in Industry 4.0: State of the Art and Open Challenges

A Joining Procedure and Synchronization for TSCH-RPL Wireless Sensor Networks

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