scholarly journals Industrial Internet of Things Based Efficient and Reliable Data Dissemination Solution for Vehicular Ad Hoc Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Shahid Latif ◽  
Saeed Mahfooz ◽  
Naveed Ahmad ◽  
Bilal Jan ◽  
Haleem Farman ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Dissemination ◽  
The Other ◽  
Message Delivery ◽  
Industrial Internet Of Things ◽  
Traffic Conditions ◽  
Industrial Internet ◽  
Transmission Region

Industrial Internet of Things (IIoT) is the other name of industrial Internet. It integrates a variety of existing industrial automation technologies with computing, machine learning, and communication technologies. Vehicular ad hoc network, an application of IIoT, is a self-organized network of vehicles which tends to provide improved road safety, diminished traffic congestion, and ultimate comfort to the travellers. In VANETs, vehicles exchange data with each other directly or through roadside units (RSUs). Data dissemination in VANETs experiences numerous challenging issues including broadcast storm, network partitions, intermittent connectivity between vehicles, and limited bandwidth. In literature, various data dissemination schemes are proposed. However, most of these schemes are designed for either urban or highway VANET scenarios and evaluated under sparse or dense traffic conditions. Moreover, these schemes do not effectively overcome the aforementioned issues simultaneously. In this paper, we present a new data dissemination protocol for VANETs, which disseminates the emergency messages in different scenarios under varying traffic conditions. During dense traffic conditions, DDP4V employs the segmentation of transmission region of a vehicle in order to select the most appropriate next forwarding vehicle (NFV). Accordingly, it divides the transmission region of a vehicle in three distinct segments and selects vehicle(s) inside the highest priority segment to forward the message to all neighbour vehicles, whereas it also uses implicit acknowledgements for guaranteed message delivery during sparse traffic Conditions. Simulation results show that DDP4V protocol outperforms the other existing related protocols in terms of coverage, network overhead, collision, and end-to-end delay.

Data dissemination in urban Vehicular Ad hoc Networks with diverse traffic conditions

2013 ◽  
Author(s):  
Guilherme Maia ◽  
Leandro A. Villas ◽  
Azzedine Boukerche ◽  
Aline C. Viana ◽  
Andre L. L. Aquino ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Dissemination ◽  
Traffic Conditions ◽  
Hoc Networks

scholarly journals A baseline for context-aware system for safety messages dissemination in VANETs

2019 ◽  
pp. 9-18
Author(s):  
Alexis Yáñez ◽  
Sandra Céspedes ◽  
Javier Rubio-Loyola
Keyword(s):  
Mobile Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Dissemination ◽  
Context Aware ◽  
Traffic Conditions ◽  
Communication Environments ◽  
Hoc Networks ◽  
Context Aware System ◽  
Parameter Values

Vehicular ad-hoc networks (VANETs) are mobile networks with highly dynamic contexts of operation. The design and application of context-aware systems could be critical to enhance the performance of protocols deployed in VANETs, which depend on both network and traffic conditions, to detect hostile communication environments, as well as to offer a novel way to make decisions in real-time. In this paper, we present a baseline study for the design of a context-aware system for dissemination of safety messages in VANETs. We model a realistic vehicular intersection and perform extensive simulations to evaluate two well-known dissemination mechanisms, namely the Slotted 1-persistence and the Traffic Adaptive Data Dissemination (TrAD) Protocol, with a set of parameters according to different operation scenarios. We show how the dissemination mechanisms’ performance could be improved, or worsened, by choosing a different set of parameter values. By characterizing the operation scenarios, it is possible to adequate the parameters of the dissemination mechanism with the values that work best in a given context, improving in this way the general performance of the dissemination mechanisms under study.

scholarly journals Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Yong Cheng ◽  
Zhongren Zheng ◽  
Jun Wang ◽  
Ling Yang ◽  
Shaohua Wan
Keyword(s):  
Genetic Algorithm ◽  
Internet Of Things ◽  
Meteorological Data ◽  
Attribute Reduction ◽  
Evolutionary Process ◽  
Population Diversity ◽  
The Other ◽  
Industrial Internet Of Things ◽  
Reduction Operation ◽  
Industrial Internet

Due to the problem of attribute redundancy in meteorological data from the Industrial Internet of Things (IIoT) and the slow efficiency of existing attribute reduction algorithms, attribute reduction based on a genetic algorithm for the coevolution of meteorological data was proposed. The evolutionary population was divided into two subpopulations: one subpopulation used elite individuals to assist crossover operations to increase the convergence speed of the algorithm, and the other subpopulation balanced the population diversity in the evolutionary process by introducing a random population; these two subpopulations completed the evolutionary operations together. With the TSDPSO-AR algorithm and ARAGA algorithm, the attribute reduction operation for precipitation in meteorological data was performed. The results showed that the proposed algorithm maintained the diversity of the population during evolution, improved the reduction performance, and simplified the information system.

Scaling an Internet of Things start-up: Can alliance strategy help?

2021 ◽  
pp. 204388692098616
Author(s):  
Dipankar Chakrabarti ◽  
Soumya Sarkar ◽  
Arindam Mukherjee
Keyword(s):  
Internet Of Things ◽  
Ad Hoc ◽  
Scale Up ◽  
High Tech ◽  
Industrial Internet Of Things ◽  
Start Up ◽  
Industrial Internet ◽  
Multiple Challenges ◽  
Proper Strategy

Owners of start-ups in the high-tech field face multiple challenges while scaling-up. The major challenge is to form a proper strategy that guides them to move from building products for point solutions to more industry-focused solutions, retaining skilled resources, efficient workforce management, and improving market reach. This case study is on Distronix, a start-up in the Industrial Internet of Things that could see steady revenue within 3 years of its operations. Distronix wanted to reach the next orbit fast. Distronix wanted to change the organizational blueprint with a proper strategy to scale-up. The young entrepreneurs owning Distronix brainstormed with their employees and the industry experts to strategize the next phase of growth. Market reach and coping with the changing demand of customers on Industrial Internet of Things were the two most important aspects of their strategy. After discussing with stakeholders and the mentors, the owners focused on alliances to increase their delivery and market reach capabilities. They could establish strong alliances, even with larger companies, with proper planning and sustained quality delivery. From the inception of Distronix, owners established alliance, but those were ad hoc and not as per the holistic plan, which provided them a better focus and guidance on alliancing. The alliance strategy seems successful from its revenue growth but needs regular review as the technology stack is getting refreshed fast. Regular monitoring of performance is also critical. The case study shows the importance of a well-thought and well-rounded alliance strategy for a start-up to scale-up confidently.

scholarly journals An Efficient Early Frame Breaking Strategy for RFID Tag Identification in Large-Scale Industrial Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Zhiyong He ◽  
Hanguang Luo
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
The Other ◽  
Identification Performance ◽  
Industrial Internet Of Things ◽  
Tag Identification ◽  
Frame Size ◽  
Industrial Internet ◽  
Two Phases ◽  
Channel Environment

With the increase in the number of tags, an efficient approach of tag identification is becoming an urgent need in Industrial Internet of Things (IIoT). However, the identification performance of existing Aloha-based anticollision schemes is limited when the initial frame size is seriously mismatched with the actual tag population size. The performance will degrade further when IIoT is deployed in the error-prone channel environment. To optimize the identification performance of RFID system in an error-prone channel environment, we propose an efficient early frame breaking strategy based anticollision algorithm (EFB-ACA) with channel awareness. The EFB-ACA divides the whole tag identification process into two phases: convergence phase and identification phase. The function of convergence phase is to make the adjusted frame quickly converge to an appropriate size. The early frame breaking strategy is embedded in the convergence phase. Numerical results show that the proposed EFB-ACA algorithm outperforms the other methods on efficiency and stability in the error-prone channel. In addition, EFB-ACA algorithm also outperforms the other methods in the error-free channel.

Cluster-based data dissemination, cluster head formation under sparse, and dense traffic conditions for vehicular ad hoc networks

2018 ◽  
Vol 31 (8) ◽  
pp. e3533 ◽  
Author(s):  
Kashif Naseer Qureshi ◽  
Abdul Hanan Abdullah ◽  
Faisal Bashir ◽  
Saleem Iqbal ◽  
Khalid Mahmood Awan
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Dissemination ◽  
Cluster Head ◽  
Traffic Conditions ◽  
Head Formation ◽  
Hoc Networks

An Integrated Legacy of Modbus Devices to Industrial Internet of Things: Approach for Smart Industries

2020 ◽  
Author(s):  
Karthik Muthineni
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Industrial Internet Of Things ◽  
Intelligent Decision Making ◽  
Internet Of Everything ◽  
Industrial Internet ◽  
Intelligent Decision ◽  
Network Platform ◽  
Smart Factories

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.

MONITORING AND PREDICTIVE ANALYTICS OF TECHNOLOGICAL EQUIPMENT ON THE BASED OF INDUSTRIAL INTERNET OF THINGS

2020 ◽  
pp. 7-12
Author(s):  
С.Л. Добрынин ◽  
В.Л. Бурковский
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
Predictive Analytics ◽  
Actual State ◽  
Monitoring And Control ◽  
Industrial Internet Of Things ◽  
Machining Time ◽  
Industrial Internet ◽  
Acquisition Device ◽  
Data Acquisition Device

Произведен обзор технологий в рамках концепции четвертой промышленной революции, рассмотрены примеры реализации новых моделей управления технологическими процессами на базе промышленного интернета вещей. Описано техническое устройство основных подсистем системы мониторинга и контроля, служащей для повышения осведомленности о фактическом состоянии производственных ресурсов в особенности станков и аддитивного оборудования в режиме реального времени. Архитектура предлагаемой системы состоит из устройства сбора данных (УСД), реализующего быстрый и эффективный сбор данных от станков и шлюза, передающего ликвидную часть информации в облачное хранилище для дальнейшей обработки и анализа. Передача данных выполняется на двух уровнях: локально в цехе, с использованием беспроводной сенсорной сети (WSN) на базе стека протоколов ZigBee от устройства сбора данных к шлюзам и от шлюзов в облако с использованием интернет-протоколов. Разработан алгоритм инициализации протоколов связи между устройством сбора данных и шлюзом, а также алгоритм выявления неисправностей в сети. Расчет фактического времени обработки станочных подсистем позволяет более эффективно планировать профилактическое обслуживание вместо того, чтобы выполнять задачи обслуживания в фиксированные интервалы без учета времени использования оборудования We carried out a review of technologies within the framework of the concept of the fourth industrial revolution; we considered examples of the implementation of new models of process control based on the industrial Internet of things. We described the technical structure of the main subsystems of the monitoring and control system to increase awareness of the actual state of production resources in particular machine tools and additive equipment in real time. The architecture of the proposed system consists of a data acquisition device (DAD) that implements fast and efficient data collection from machines and a gateway that transfers the liquid part of information to the cloud storage for further processing and analysis. We carried out the data transmission at two levels, locally in the workshop, using a wireless sensor network (WSN) based on ZigBee protocol stack from the data acquisition device to the gateways and from the gateways to the cloud using Internet protocols. An algorithm was developed for initializing communication protocols between a data acquisition device and a gateway, as well as an algorithm for detecting network malfunctions. Calculating the actual machining time of machine subsystems allows us to more efficiently scheduling preventive maintenance rather than performing maintenance tasks at fixed intervals without considering equipment usage

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