Wireless Sensor Network Based on a Chemocapacitive Sensor Array for the Real-time Monitoring of Industrial Pollutants

Οικονόμου, Π.; Botsialas, A.; Olziersky, Antonis; Stratakos, I.; Katsikas, Serafeim; Dimas, D.; Sotiropoulos, Georgios C.; Goustouridis, D.; Raptis, Ioannis; Sanopoulou, M.

doi:10.1016/j.proeng.2014.11.551

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…Public transports were used to collect pollutant gases from sensors and transmitted to a central node for online access with the help of the Google Maps interface. Oikonomou et al (2014) introduced WSN, coupled with an array of eight polymer-coated capacitive sensors and low-power read-out electronics, to detect low concentrations of specific volatile organic compounds (VOCs) available at industrial installations. Authors recommended that the system can be employed to monitor the industrial environment in real time.…”

Section: Sensor Nodes Deploymentmentioning

confidence: 99%

Climate: Environmental Monitoring Using Wireless Sensor Network System

Yahya

2019

Emerging Technologies in Agriculture, Livestock, and Climate

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This chapter gives an overview of environmental monitoring systems using wireless sensor network, big data, and Internet of Things (IoTs). This chapter outlines the effect of climate change on wild animals and also discusses innovations in response to climate change. Electric fences are commonly used to control and manage the movement of animals in game reserves, private game and farms to restrict intruders such as unwanted predators and humans from the bound area. Wireless sensor network-based system for intruder detection and monitoring is presented in this system to minimize the human-animal disputes in Africa. It is challenging to observe elephants monitoring since these huge animals travel for very long distances. The biggest challenge in the existing wireless-based anti-poaching system is the limited network or no coverage. As a result, the non-monitored animals are simply subjected to poaching. Taking advantage of WSN, an anti-poaching system is proposed in this chapter.

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Section: Sensor Nodes Deploymentmentioning

confidence: 99%

Climate: Environmental Monitoring Using Wireless Sensor Network System

Yahya

2019

Emerging Technologies in Agriculture, Livestock, and Climate

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“…Similarly, to the FoF paradigm, sensor web enablement (SWE) [14] is another technology that is being utilized in indoor applications to monitor worker behavior as well as to ensure their health and safety. Volatile organic compounds (VOCs) [15] are being investigated for their possible use in industrial installations using an array of interdigitated chemocapacitors (IDCs) covered with semiselective polymers as sensing layers, which are being investigated. e FASyS system attempts to decrease potential labour hazards by identifying environmental elements that may be associated with such risks or accidents as early as feasible [16].…”

Section: Introductionmentioning

confidence: 99%

Machine Monitoring Protocols Based on Quality of Service (QoS) to Improve Performance of Real-Time Industrial Applications

Abualsauod

2022

Mathematical Problems in Engineering

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A major factor in the optimization of real-time industrial applications is Quality of Service (QoS). There is also a quality-of-service parameter (QoS). Normally, dynamic networks require QoS settings for real-time applications. The industrial production environment is changing due to rapid advances in ICT. Industries have increased output due to improved manufacturing chain efficiency, flexibility, and security. Establishing a secure, reliable, and fast network in the sector is therefore critical. In industrial applications, data collection is an important factor to consider. Various routing methods exist for collecting data from industrial environments and sending it to processing. In this situation, the energy consumption of device nodes and data transmission delay are important factors to consider. This research proposes to construct an energy-efficient delay-aware WSN routing (EDR) protocol for defect detection. The clustering group optimal approach is used to identify which clusters should be selected. A modified task selection method is proposed to calculate the most efficient path between industrial areas and data centres (monitoring rooms). The node selection approach is used to find the network’s aggregate node. The Network Simulator (NS2) programmed is used to model the projected IEM-EDR system. The proposed Industrial Energy Monitoring-Energy-Efficient Delay-Aware Routing (IEM-EDR) system’s performance is compared to that of existing techniques in hop count, latency, energy consumption, throughput, and delivery rate.

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“…Rapidly increasing numbers of wireless sensor nodes and their networks (WSNs), ranging in applications of structural health (e.g., cracks in buildings), industrial environments (e.g., machining processes), household/weather conditions (e.g., temperature and humidity) and even human health and well-being monitoring have kept energy harvesting as a target of researchers for many years [ 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Peculiarities of the Third Natural Frequency Vibrations of a Cantilever for the Improvement of Energy Harvesting

Ostaševičius

Janušas

Milasauskaite

et al. 2015

Sensors

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This paper focuses on several aspects extending the dynamical efficiency of a cantilever beam vibrating in the third mode. A few ways of producing this mode stimulation, namely vibro-impact or forced excitation, as well as its application for energy harvesting devices are proposed. The paper presents numerical and experimental analyses of novel structural dynamics effects along with an optimal configuration of the cantilever beam. The peculiarities of a cantilever beam vibrating in the third mode are related to the significant increase of the level of deformations capable of extracting significant additional amounts of energy compared to the conventional harvester vibrating in the first mode. Two types of a piezoelectric vibrating energy harvester (PVEH) prototype are analysed in this paper: the first one without electrode segmentation, while the second is segmented using electrode segmentation at the strain nodes of the third vibration mode to achieve effective operation at the third resonant frequency. The results of this research revealed that the voltage generated by any segment of the segmented PVEH prototype excited at the third resonant frequency demonstrated a 3.4–4.8-fold increase in comparison with the non-segmented prototype. Simultaneously, the efficiency of the energy harvester prototype also increased at lower resonant frequencies from 16% to 90%. The insights presented in the paper may serve for the development and fabrication of advanced piezoelectric energy harvesters which would be able to generate a considerably increased amount of electrical energy independently of the frequency of kinematical excitation.

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Wireless Sensor Network Based on a Chemocapacitive Sensor Array for the Real-time Monitoring of Industrial Pollutants

Cited by 7 publications

References 12 publications

Climate: Environmental Monitoring Using Wireless Sensor Network System

Climate: Environmental Monitoring Using Wireless Sensor Network System

Machine Monitoring Protocols Based on Quality of Service (QoS) to Improve Performance of Real-Time Industrial Applications

Peculiarities of the Third Natural Frequency Vibrations of a Cantilever for the Improvement of Energy Harvesting

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