A cloud-based mobile robotic system for environmental monitoring

Meena, M. Janaki; Prabha, S. Sathya; Pandian, S.R.

doi:10.1109/apcase.2014.6924484

Cited by 9 publications

(3 citation statements)

References 17 publications

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“…IAQ monitoring is a trending topic for which some other low-cost and open-source monitoring systems have been developed [43][44][45][46][47][48][49]. Due to the quality and relevant contribution of these solutions, a brief summary of these studies is presented in The RSSI test at floor level showed that the maximum distance between nodes was 8 m. The RSSI test at 1 m height reported 3 to 5 m distance.…”

Section: Discussion and Resultsmentioning

confidence: 99%

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Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things

et al. 2019

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This paper presents iAirBot, an assistive robot for indoor air quality monitoring based on Internet of Things. The system can communicate with occupants and triggers alerts automatically using social networks. The information can be accessed by the caregiver to plan interventions for enhanced living environments in a timely manner. The results are promising, as the proposed architecture presents a cost-effective assistive robot for indoor quality monitoring. It connects several technological fields and knowledge areas, such as ambient assisted living, Internet of Things, wireless sensor networks, social networks, and indoor air quality. When compared to other systems, iAirBot stands out for the modularity and scalability of its sensors network, as well as the use of social networks for information sharing. Therefore, iAirBot is a significant system for enhanced living environments, occupational health, and well-being.

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Section: Discussion and Resultsmentioning

confidence: 99%

“…A set of mobile robots connected via Wi-Fi to a cloud server to provide environmental supervision is proposed by [48]. The master robot is configured as a base station, while the others are configured as sensor nodes that are responsible for the data acquisition and for transmitting the collected data to the base station.…”

Section: Related Workmentioning

confidence: 99%

Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things

et al. 2019

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“…A system containing mobile robots for environmental supervision was proposed by [99]. It was connected to the cloud server wirelessly.…”

Section: Indoor Air Quality Monitoring: Architectures Algorithms and ...mentioning

confidence: 99%

Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities

et al. 2020

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Smart cities follow different strategies to face public health challenges associated with socio-economic objectives. Buildings play a crucial role in smart cities and are closely related to people’s health. Moreover, they are equally essential to meet sustainable objectives. People spend most of their time indoors. Therefore, indoor air quality has a critical impact on health and well-being. With the increasing population of elders, ambient-assisted living systems are required to promote occupational health and well-being. Furthermore, living environments must incorporate monitoring systems to detect unfavorable indoor quality scenarios in useful time. This paper reviews the current state of the art on indoor air quality monitoring systems based on Internet of Things and wireless sensor networks in the last five years (2014–2019). This document focuses on the architecture, microcontrollers, connectivity, and sensors used by these systems. The main contribution is to synthesize the existing body of knowledge and identify common threads and gaps that open up new significant and challenging future research directions. The results show that 57% of the indoor air quality monitoring systems are based on Arduino, 53% of the systems use Internet of Things, and WSN architectures represent 33%. The CO2 and PM monitoring sensors are the most monitored parameters in the analyzed literature, corresponding to 67% and 29%, respectively.

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Internet of Things for Enhanced Living Environments, Health and Well-Being: Technologies, Architectures and Systems

Marques

Saini

Pires

et al. 2020

Advances in Intelligent Systems and Computing

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A cloud-based mobile robotic system for environmental monitoring

Cited by 9 publications

References 17 publications

Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things

Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things

Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities

Internet of Things for Enhanced Living Environments, Health and Well-Being: Technologies, Architectures and Systems

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