An Efficient Wireless Sensor Network for Industrial Monitoring and Control

Aponte-Luis, Juan; Gómez-Galán, Juan Antonio; Gómez-Bravo, Fernando; Sánchez-Raya, M.; Alcina-Espigado, Javier; Teixido-Rovira, Pedro Miguel

doi:10.3390/s18010182

Cited by 106 publications

(53 citation statements)

References 22 publications

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“…The cabled option approach has no interference among nodes but patients are not comfortable with wires around their body for long periods of time and the nodes disconnection is highly probable. For the second approach, wireless sensor networks (WSN) constitute a functional and practical alternative [3], where each sensor is composed of electrodes, battery, and a processing module to allow the transmission of the information to a sink node. Therefore, the wireless option is advisable in order to allow patients to have full mobility with the recording equipment in ambulatory monitoring.…”

Section: Introductionmentioning

confidence: 99%

Priority Schemes for Life Extension and Data Delivery in Body Area Wireless Sensor Networks with Cognitive Radio Capabilities

Chávez

Rivero-Ángeles

Jiménez

et al. 2019

Wireless Communications and Mobile Computing

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Wireless sensor networks have recently been used to monitor bioelectric signals generated by the human body. However, since the dimensions and capabilities of the network nodes are small and limited, a problem is generated inherently by the energy consumption and radioelectric interference. In view of this, we propose two priority schemes to improve the performance of the network. In the first one, we aim at increasing the system lifetime by reducing the number of transmissions of nodes with low energy levels. In the second scheme, we aim at conveying priority data to the sink node as fast and efficient as possible. In the former scheme, users can be monitored for long time periods considering a low data generation. On the other hand, the latter scheme allows expediting transmission of important data when energy efficiency is not relevant. In this article, we mathematically model, analyze, and study the performance of the system for both priority schemes considering cognitive radio capabilities to make efficient use of resources and limit the radioelectric interference when the network transmits both continuous monitoring and event detection information. Numerical results provided in this work allow a careful parameter selection for practical implementation of BANETs.

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Section: Introductionmentioning

confidence: 99%

Priority Schemes for Life Extension and Data Delivery in Body Area Wireless Sensor Networks with Cognitive Radio Capabilities

Chávez

Rivero-Ángeles

Jiménez

et al. 2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Wireless Sensor Networks (WSNs) are prominently used in industrial and scientific societies. These have applications in every field of life like transportation and logistics, precision agriculture and animal tracking, environmental monitoring, urban terrain tracking and structure monitoring, entertainment, surveillance and security, health monitoring, smart grid and energy control systems, industrial applications and so on [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Analysis of Communication Subsystem design Process for Wireless Sensor Networks based on Petri Net

Dahiya*¹,

Singh²,

Sekhon³

2019

IJRTE

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 Abstract: Wireless Sensor Networks (WSNs) have numerous applications in the field of engineering. These networks have variety of design constraints and energy is most important one. As energy harvesting is not possible in most of the cases, energy conservation is the only option available to the researchers. Energy efficient communication is the key to energy conservation as most of the energy is spent in transfer of data from one node to another. This article is devoted to development of energy efficient communication system design process model based on Petri Net for Wireless Sensor Networks. This model not only facilitates to examine the dynamicity in design process but also evaluates the design process for any deadlock conditions. Based on this model, radiating element array for communication in sensor networkscan be designed and developed and therefore can be used to improve the overall energy efficiency of the network. ConsistencyYes No tokens are consumed Conservativeness YesNo tokens are consumed IV. CONCLUSIONThe Petri net has applications in almost all areas of engineering and science especially in process modelling and communication models. The Petri net theory is used very frequently in technical scenarios because of its efficacy in modelling and analysis of various systems. This theory has been used to analyze design process modelling for energy efficient communication subsystem in Wireless Sensor Networks. This model not only facilitates analysis of design process dynamics but also evaluates the design process for any deadlock conditions. The developed model is analyzed and simulated using PN Toolbox in MATLAB and property analysis of this models demonstrates finite and feasibility of each state and absence of any deadlock or uncertain conditions. Based on this model, we can design and develop our radiating elements and the overall energy efficiency of the network can be improved. The developed model has imperative applications in energy efficient wireless communication networks.

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“…Our aim is to design a wireless system for industries so, we can access remotely and can monitor its process using desktop as well as through smart phone in real time. Along with this even we are using wireless protocols to send command; security will be the strongest parameter of the sustainability of our system [1]. Here we are using an Internet of Things protocol we are serving as a mediator between sensors and data in cloud, but for this, we have to choose a MCU, which can perform required task with taking consideration of power management, response time and bandwidth, cost.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Network and Industrial Internet of Things Based Industrial Machinery Control and Noise Detector

Singh¹,

Gehlot²,

Sharma³

2019

IJITEE

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This paper describes a wireless sensor network and industrial internet of things based Industry machinery control and noise detector, where the using control platform is Arduino, While TCP and IOT is serving as a communication protocol. The function of Arduino is to understand data destination along with the functioning of data to that machine similarly sensors used to take information at their level and fed back for the proper functioning. This paper aims in designing a convenient wireless industry where cabling is not possible. It also has lower installation and maintenance charge for flexible Industry. This paper presents the measurement and reduction of noise from the machines for the betterment of workers.

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An Efficient Wireless Sensor Network for Industrial Monitoring and Control

Cited by 106 publications

References 22 publications

Priority Schemes for Life Extension and Data Delivery in Body Area Wireless Sensor Networks with Cognitive Radio Capabilities

Priority Schemes for Life Extension and Data Delivery in Body Area Wireless Sensor Networks with Cognitive Radio Capabilities

Modeling and Analysis of Communication Subsystem design Process for Wireless Sensor Networks based on Petri Net

Wireless Sensor Network and Industrial Internet of Things Based Industrial Machinery Control and Noise Detector

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