Future Trends for Healthcare Monitoring System in Smart Cities Using LoRaWAN-Based WBAN

Bouazzi, Imen; Zaidi, Monji; Usman, Mohammed; Shamim, Mohammed Zubair M.; Gunjan, Vinit Kumar; Singh, Ninni

doi:10.1155/2022/1526021

Cited by 22 publications

(5 citation statements)

References 27 publications

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“…The results of integration testing between Things Network (TTN) and IoT Server (ThingSpeak) for the LoRaWAN system have been successfully realized and provided good results [109]. This shows that the interconnection of LoRaWAN technology from sensor nodes to IoT servers has been established effectively [110].…”

Section: H Integration Testing Of the Things Network With Iot Servermentioning

confidence: 82%

Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology

Nurwarsito,

Suprayogo,

Sakti

et al. 2024

Journal of Robotics and Control

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Microclimate monitoring in agroforestry is very important to understand the complex interactions between vegetation, soil, and the environment. Microclimate parameters include air and soil temperature, air humidity, soil moisture, and light intensity. This research aims to develop a new microclimate data recording system for coffee-pine agroforestry, utilizing LoRaWAN and IoT technology to capture real-time microclimate parameters. Unlike traditional data loggers that require manual download on-site, this innovative system enables instant data download from IoT servers, thereby increasing data efficiency and accessibility. The system proved effective, significantly improving the precision of air temperature and humidity, as well as soil temperature measurements, with an average accuracy of 100%. However, soil moisture and light intensity recorded lower accuracies of 81.23% and 82.56%, respectively, indicating potential areas for future research and system refinement. The system maintains a 15-minute sampling period, aligning with conventional datalogger intervals. This represents an advancement in precision agriculture for microclimate monitoring, enabling the data to be utilized in decision-making for agroforestry management, which involves complex interactions between the local microclimate and the broader ecological system. It underscores the significance of sustainable land use as a response to global climate change.

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Section: H Integration Testing Of the Things Network With Iot Servermentioning

confidence: 82%

Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology

Nurwarsito,

Suprayogo,

Sakti

et al. 2024

Journal of Robotics and Control

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“…The Tier 4 consists of Internet of Drones connected with automatic driving system, office buildings, university campus, smart parking and remote manufacturing industry. A person's health condition can be monitored anywhere, anytime by using Internet of Things (IoTs) based pool [38].…”

Section: B Research Motivationmentioning

confidence: 99%

“…In smart homes there is no standard routing protocol to route the data from one device to another. Mostly Smart Homes establish a standard Ad hoc Network of devices including elderly patients [38]. We have introduced the relay-based routing inside the smart homes to effectively route the data from multiple sensor nodes towards the relay node.…”

Section: B Contribution At Layermentioning

confidence: 99%

Improved QoS Aware Routing Protocol (IM-QRP) for WBAN Based Healthcare Monitoring System

et al. 2022

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Wireless Body Area Network (WBAN) is a special purpose wireless sensors network designed to connect various self-autonomous medical sensors and appliances located inside and outside of human body. Interests in human Healthcare Monitoring System (HMS) are based on WBAN due to the increasing aging population and chronically ill patients at home. HMS is expected to reduce healthcare expenses by enabling the continuous monitoring of patient's health remotely in daily life activities. This research focuses on routing protocols in WBAN. The major problems in routing protocols are maximum energy consumption, path loss ratio, packet delivery ratio and maintaining stable signal to noise ratio. Real time analysis is required in HMS to support the patients through doctors, caregivers and hospital systems. Collected data is relayed by using existing wireless communication schemes towards the access point for further retransmission and processing. In this research, an Improved Quality of Service aware Routing Protocol (IM-QRP) is proposed for WBAN based HMS to remotely monitor the elderly people or chronically ill patients in hospitals and residential environments. The proposed protocol is capable to improve 10% residual energy, 30% reduction in path loss ratio, 10% improvement in packet transmission (link reliability) and 7% improvement in SNR as compared to existing CO-LEEBA and QPRD routing protocols. Convolutional Neural Network is used outside the WBAN environment to analyze the medical health records for healthcare diagnosis and intelligent decision-making.

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“…Authors in article [ 25 ] assessed the functionality of a LoRa network with numerous smart EDs. Through a dependable network, these endpoint devices link patients, nurses, and medical professionals.…”

Section: Related Workmentioning

confidence: 99%

Edge Based Priority-Aware Dynamic Resource Allocation for Internet of Things Networks

Ali

Qureshi

Mustafa

et al. 2022

Entropy

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The exponential growth of the edge-based Internet-of-Things (IoT) services and its ecosystems has recently led to a new type of communication network, the Low Power Wide Area Network (LPWAN). This standard enables low-power, long-range, and low-data-rate communications. Long Range Wide Area Network (LoRaWAN) is a recent standard of LPWAN that incorporates LoRa wireless into a networked infrastructure. Consequently, the consumption of smart End Devices (EDs) is a major challenge due to the highly dense network environment characterised by limited battery life, spectrum coverage, and data collisions. Intelligent and efficient service provisioning is an urgent need of a network to streamline the networks and solve these problems. This paper proposes a Dynamic Reinforcement Learning Resource Allocation (DRLRA) approach to allocate efficient resources such as channel, Spreading Factor (SF), and Transmit Power (Tp) to EDs that ultimately improve the performance in terms of consumption and reliability. The proposed model is extensively simulated and evaluated with the currently implemented algorithms such as Adaptive Data Rate (ADR) and Adaptive Priority-aware Resource Allocation (APRA) using standard and advanced evaluation metrics. The proposed work is properly cross validated to show completely unbiased results.

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Future Trends for Healthcare Monitoring System in Smart Cities Using LoRaWAN-Based WBAN

Cited by 22 publications

References 27 publications

Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology

Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology

Improved QoS Aware Routing Protocol (IM-QRP) for WBAN Based Healthcare Monitoring System

Edge Based Priority-Aware Dynamic Resource Allocation for Internet of Things Networks

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