scholarly journals A Polling-Based Transmission Scheme Using a Network Traffic Uniformity Metric for Industrial IoT Applications

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 187 ◽  
Author(s):  
Yuichi Igarashi ◽  
Ryo Nakano ◽  
Naoki Wakamiya

The Industrial Internet of Things (IIoT) applications are required to provide precise measurement functions as feedback for controlling devices. The applications traditionally use polling-based communication protocols. However, in polling-based communication over current industrial wireless network protocols such as ISA100.11a, WirelessHART have difficulty in realizing both scheduled periodic data collection at high success ratio and unpredictable on-demand communications with short latency. In this paper, a polling-based transmission scheme using a network traffic uniformity metric is proposed for IIoT applications. In the proposed scheme, a center node controls the transmission timing of all polling-based communication in accordance with a schedule that is determined by a Genetic Algorithm. Communication of both periodic and unpredictable on-demand data collection are uniformly assigned to solve the above difficulties in the schedule. Simulation results show that network traffic is generated uniformly and a center node can collect periodic data from nodes at high success ratio. The average success probability of periodical data collection is 97.4 % and the lowest probability is 95.2 % .

Author(s):  
Manoj Himmatrao Devare

The manufacturing cloud (CMfg) covers the use of three key technologies including cloud computing, the industrial internet of things (IIoT), and collaborative engineering for achieving the productivity and quality challenges in the big manufacturing, which is enabled due to the communication, mobile, and broadcasting network. It is necessary to establish a flexible and adaptive infrastructure for manufacturing industry to share and use various manufacturing resources and services on-demand under the dynamic, complicated, and large-scale business environment. The CMfg makes the industry more agile, responsive, and reconfigurable for exposure to the industry as a global manufacturing enterprise. The chapter considers the CMfg facets and IIoT, use cases in the manufacturing industry, and explains IIoT and CMfg as a complementary technology.


2021 ◽  
Vol 15 (3) ◽  
pp. 401-409
Author(s):  
Martin Curman ◽  
Davor Kolar ◽  
Dragutin Lisjak ◽  
Tihomir Opetuk

Maintenance 4.0 is a concept that involves the use of IIoT (Industrial Internet of Things) technology to connect maintenance objects, which enables remote data collection, information exchange, analysis and potential improvement in productivity and efficiency, as well as planning maintenance activities. The purpose of this paper is to present the development of the Industrial Internet of Things data collection system, which relies on Tinkerforge IoT modules, that enables automated data collection alongside control of sensor and data collection parameters. To evaluate the ability of the system, an experiment was conducted where two equipment states were simulated using a rotational equipment failure simulator. The experiment determined that the presented IIoT system had successfully gathered information and that there is a clear distinction in acceleration patterns when simulating two different equipment states.


2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Yuichi Igarashi ◽  
Yoshiki Matsuura ◽  
Minoru Koizumi ◽  
Naoki Wakamiya

Industrial wireless sensor network (IWSN) applications are required to provide precise measurement functions as feedback for controlling devices. Current industrial wireless communication protocols, such as ISA100.11a and wirelessHART, have difficulty, however, in guaranteeing latency for unpredictable on-demand communications. In this paper, a priority-based dynamic multichannel transmission scheme is proposed for IWSNs. In the proposed scheme, a root node controls the transmission timing of high-priority packets, while other nodes autonomously decide what channel to use and when to transmit packets to a neighbor. Simulation results show that real time control is possible where a response delay from transmission of a request to reception of a reply at a root node is within 1,140 ms at per-link communication success probability with a retry of higher than 93%.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
J. H. Zhang ◽  
Z. X. Yi ◽  
C. Y. Peng ◽  
Shahid Hussain

Three-dimensional wireless sensor networks (3D WSNs) play an important role to provide data collection services for Internet of things (IoT) in the real applications. However, many of the existing WSN data collection researches are based on a relatively simple linear or plane network model. The three-dimensional space problems are simplified to two-dimensional plane, which limits the applicability. In this paper, the data collection in 3D WSN is studied. In the three-dimensional space, we firstly analyze the data loads, energy consumption, and end-to-end (E2E) delay of each node when the network is following the shortest path routing. The mathematical analysis of data loads and E2E delay of each node are presented. Based on the analysis of data loads and energy consumption, an energy-ware data transmission scheme is proposed to achieve the trade-off optimization between the E2E delay and network lifetime under the guarantee of the transmission reliability. The key point of the proposed scheme is to make fully use of the unbalanced energy consumption of the 3D WSN. The performance of the proposed scheme is discussed, analyzed, and evaluated. The theoretical analysis and simulation results show that the E2E network delay and energy efficiency can be improved under the constraint of transmission reliability.


2019 ◽  
Vol 9 (20) ◽  
pp. 4323 ◽  
Author(s):  
López de Lacalle ◽  
Posada

The new advances of IIOT (Industrial Internet of Things), together with the progress in visual computing technologies, are being addressed by the research community with interesting approaches and results in the Industry 4.0 domain[...]


2014 ◽  
Vol 13 (4) ◽  
pp. 797-810 ◽  
Author(s):  
Liang He ◽  
Zhe Yang ◽  
Jianping Pan ◽  
Lin Cai ◽  
Jingdong Xu ◽  
...  

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