WSN Hardware for Automotive Applications: Preliminary Results for the Case of Public Transportation

Baire, Matteo; Melis, Andrea; Lodi, Matteo Bruno; Dachena, Chiara; Fanti, Alessandro; Farris, Simona; Pisanu, T.; Mazzarella, Giuseppe

doi:10.3390/electronics8121483

Cited by 11 publications

(8 citation statements)

References 45 publications

(79 reference statements)

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“…However, from the critical aspects and open issues discussed in this paper, the proposed WSN can be improved by relying on a standardization, which, unfortunately, is still lacking, in a general sense [6,55]. Moreover, the security aspects need to be carefully investigated [7,10].…”

Section: Discussionmentioning

confidence: 99%

A Wireless Sensors Network for Monitoring the Carasau Bread Manufacturing Process

et al. 2019

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This work copes with the design and implementation of a wireless sensors network architecture to automatically and continuously monitor, for the first time, the manufacturing process of Sardinian Carasau bread. The case of a traditional bakery company facing the challenge of the Food-Industry 4.0 competitiveness is investigated. The process was analyzed to identify the most relevant variables to be monitored during the product manufacturing. Then, a heterogeneous, multi-tier wireless sensors network was designed and realized to allow the real-time control and the data collection during the critical steps of dough production, sheeting, cutting and leavening. Commercial on-the-shelf and cost-effective integrated electronics were employed, making the proposed approach of interest for many practical cases. Finally, a user-friendly interface was provided to enhance the understanding, control and to favor the process monitoring. With the wireless senors network (WSN) we designed, it is possible to monitor environmental parameters (temperature, relative humidity, gas concentrations); cinematic quantities of the belts; and, through a dedicated image processing system, the morphological characteristics of the bread before the baking. The functioning of the WSN was demonstrated and a statistical analysis was performed on the variables monitored during different seasons. offered by Internet-of-Things (IoT) solutions to meet sustainability (or waste reduction) criteria [2]. The food industry is managing critical changes related to consumer needs, to health and safety concerns and to the demand of food products which should be differentiated and high-quality [5]. However, the quality of these products can change suddenly during the production process; thus, leading to the need for ad hoc, reliable and real-time strategies to monitor the manufacturing process [5,6]. Therefore, to satisfy customer demands, the digital monitoring of the supply chain is required to provide a deep knowledge of the crucial production steps, in order to detect the weaknesses of and permit the optimization of the whole process, to reduce the maintenance difficulties and lower the costs [5,6]. Moreover, this digitalization trend in food industry can favor the automatic data collection, the lowering of paperwork and the enabling the development of real-time, robust feedback strategies [2]. Furthermore, the challenge of ensuring acceptable adoption costs of new information and communication technologies (ICT) by small and medium size activities calls for a reasonable and effective answers [4].As a solution to these problems, the use of wireless senors networks (WSNs) was proposed [4]. WSNs are recognized as a relevant technology of the 21st century. A WSN can be defined as a low-cost platform which connects large networks of sensors [7][8][9]. They are systems which comprise radio-frequency (RF) transceivers, sensors, micro-controller or processor and power sources [5,6]. WSNs are a novel and interesting manifestation of the IoT technology [10][11][12]....

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Section: Discussionmentioning

confidence: 99%

A Wireless Sensors Network for Monitoring the Carasau Bread Manufacturing Process

et al. 2019

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“…In the work of Baires [14], a Wireless Sensor Network for an Intelligent transportation system was developed using a Raspberry Pi. The sensing layer of the developed device has the goal of detecting if mechanical or environmental stresses during bus rides could be harmful to the device or to its performances.…”

Section: Related Workmentioning

confidence: 99%

A Smart Information System for Passengers of Urban Transport Based on IoT

et al. 2022

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Several developed countries have implemented smart systems for public transport that provide mobility services for citizens. Most of these systems use special infrastructures to determine the location of citizens and public buses. However, the implementation of these systems does not take into account the poor infrastructure of developing countries. In Mexico, Urban Passenger Transport has insufficient transport units to meet the demand of passengers who move throughout the day, and these do not consider hardware infrastructure. Our solution is focused on inexpensive devices that are accessible to citizens, such as mobile phones. In this research work, a smart information system for passengers of urban transport is presented that allows passengers to know the expected arrival times and also to know the availability of seats on the bus that is heading towards their position. The solution was evaluated with real routes, and the results are promising for a pilot project to be put in practice.

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“…Their design is based on the application-specific requirements, since each industrial process has multiple objectives and different infrastructure needs [ 3 ]. In the past few years, IWSNs have emerged in numerous application fields, including personal health monitoring [ 19 ], building and civil infrastructure monitoring [ 20 , 21 ], automotive applications [ 22 ], power converters [ 23 ], power and smart grids [ 24 ], energy harvesting [ 25 ], smart cities [ 26 ], agriculture [ 27 ], food processing [ 28 ], underwater wireless sensor networks [ 29 , 30 ], and environment monitoring [ 31 ].…”

Section: Background Of Process Automationmentioning

confidence: 99%

A Survey on the Application of WirelessHART for Industrial Process Monitoring and Control

Devan

Hussin

Ibrahim

et al. 2021

Sensors

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Industrialization has led to a huge demand for a network control system to monitor and control multi-loop processes with high effectiveness. Due to these advancements, new industrial wireless sensor network (IWSN) standards such as ZigBee, WirelessHART, ISA 100.11a wireless, and Wireless network for Industrial Automation-Process Automation (WIA-PA) have begun to emerge based on their wired conventional structure with additional developments. This advancement improved flexibility, scalability, needed fewer cables, reduced the network installation and commissioning time, increased productivity, and reduced maintenance costs compared to wired networks. On the other hand, using IWSNs for process control comes with the critical challenge of handling stochastic network delays, packet drop, and external noises which are capable of degrading the controller performance. Thus, this paper presents a detailed study focusing only on the adoption of WirelessHART in simulations and real-time applications for industrial process monitoring and control with its crucial challenges and design requirements.

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WSN Hardware for Automotive Applications: Preliminary Results for the Case of Public Transportation

Cited by 11 publications

References 45 publications

A Wireless Sensors Network for Monitoring the Carasau Bread Manufacturing Process

A Wireless Sensors Network for Monitoring the Carasau Bread Manufacturing Process

A Smart Information System for Passengers of Urban Transport Based on IoT

A Survey on the Application of WirelessHART for Industrial Process Monitoring and Control

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