Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system
Recent advances in Information and Communication Technology (ICT), especially those related to the Internet of Things (IoT), are facilitating smart regions. Among many services that a smart region can offer, remote health monitoring is a typical application of IoT paradigm. It offers the ability to...
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ftlappeenranta:oai:lutpub.lut.fi:10024/113028 2023-05-15T17:40:19+02:00 Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system Ngo, Manh Khoi Lappeenrannan teknillinen yliopisto, Tuotantotalouden tiedekunta, Tietotekniikka / Lappeenranta University of Technology, School of Industrial Engineering and Management, Computer Science 2015 92 fulltext http://lutpub.lut.fi/handle/10024/113028 en eng http://lutpub.lut.fi/handle/10024/113028 URN:NBN:fi-fe2015072710732 Smart City Sensor Communication Internet of Things Smart Region Protocol Communication Experimentation Prototype Case study Diplomityö Master's thesis 2015 ftlappeenranta 2021-12-30T14:11:39Z Recent advances in Information and Communication Technology (ICT), especially those related to the Internet of Things (IoT), are facilitating smart regions. Among many services that a smart region can offer, remote health monitoring is a typical application of IoT paradigm. It offers the ability to continuously monitor and collect health-related data from a person, and transmit the data to a remote entity (for example, a healthcare service provider) for further processing and knowledge extraction. An IoT-based remote health monitoring system can be beneficial in rural areas belonging to the smart region where people have limited access to regular healthcare services. The same system can be beneficial in urban areas where hospitals can be overcrowded and where it may take substantial time to avail healthcare. However, this system may generate a large amount of data. In order to realize an efficient IoT-based remote health monitoring system, it is imperative to study the network communication needs of such a system; in particular the bandwidth requirements and the volume of generated data. The thesis studies a commercial product for remote health monitoring in Skellefteå, Sweden. Based on the results obtained via the commercial product, the thesis identified the key network-related requirements of a typical remote health monitoring system in terms of real-time event update, bandwidth requirements and data generation. Furthermore, the thesis has proposed an architecture called IReHMo - an IoT-based remote health monitoring architecture. This architecture allows users to incorporate several types of IoT devices to extend the sensing capabilities of the system. Using IReHMo, several IoT communication protocols such as HTTP, MQTT and CoAP has been evaluated and compared against each other. Results showed that CoAP is the most efficient protocol to transmit small size healthcare data to the remote servers. The combination of IReHMo and CoAP significantly reduced the required bandwidth as well as the volume of generated data (up to 56 percent) compared to the commercial product. Finally, the thesis conducted a scalability analysis, to determine the feasibility of deploying the combination of IReHMo and CoAP in large numbers in regions in north Sweden. Master Thesis North Sweden LUTPub (LUT University) |
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English |
topic |
Smart City Sensor Communication Internet of Things Smart Region Protocol Communication Experimentation Prototype Case study |
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Smart City Sensor Communication Internet of Things Smart Region Protocol Communication Experimentation Prototype Case study Ngo, Manh Khoi Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system |
topic_facet |
Smart City Sensor Communication Internet of Things Smart Region Protocol Communication Experimentation Prototype Case study |
description |
Recent advances in Information and Communication Technology (ICT), especially those related to the Internet of Things (IoT), are facilitating smart regions. Among many services that a smart region can offer, remote health monitoring is a typical application of IoT paradigm. It offers the ability to continuously monitor and collect health-related data from a person, and transmit the data to a remote entity (for example, a healthcare service provider) for further processing and knowledge extraction. An IoT-based remote health monitoring system can be beneficial in rural areas belonging to the smart region where people have limited access to regular healthcare services. The same system can be beneficial in urban areas where hospitals can be overcrowded and where it may take substantial time to avail healthcare. However, this system may generate a large amount of data. In order to realize an efficient IoT-based remote health monitoring system, it is imperative to study the network communication needs of such a system; in particular the bandwidth requirements and the volume of generated data. The thesis studies a commercial product for remote health monitoring in Skellefteå, Sweden. Based on the results obtained via the commercial product, the thesis identified the key network-related requirements of a typical remote health monitoring system in terms of real-time event update, bandwidth requirements and data generation. Furthermore, the thesis has proposed an architecture called IReHMo - an IoT-based remote health monitoring architecture. This architecture allows users to incorporate several types of IoT devices to extend the sensing capabilities of the system. Using IReHMo, several IoT communication protocols such as HTTP, MQTT and CoAP has been evaluated and compared against each other. Results showed that CoAP is the most efficient protocol to transmit small size healthcare data to the remote servers. The combination of IReHMo and CoAP significantly reduced the required bandwidth as well as the volume of generated data (up to 56 percent) compared to the commercial product. Finally, the thesis conducted a scalability analysis, to determine the feasibility of deploying the combination of IReHMo and CoAP in large numbers in regions in north Sweden. |
author2 |
Lappeenrannan teknillinen yliopisto, Tuotantotalouden tiedekunta, Tietotekniikka / Lappeenranta University of Technology, School of Industrial Engineering and Management, Computer Science |
format |
Master Thesis |
author |
Ngo, Manh Khoi |
author_facet |
Ngo, Manh Khoi |
author_sort |
Ngo, Manh Khoi |
title |
Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system |
title_short |
Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system |
title_full |
Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system |
title_fullStr |
Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system |
title_full_unstemmed |
Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system |
title_sort |
sensor communication in smart cities and regions: an efficient iot-based remote health monitoring system |
publishDate |
2015 |
url |
http://lutpub.lut.fi/handle/10024/113028 |
genre |
North Sweden |
genre_facet |
North Sweden |
op_relation |
http://lutpub.lut.fi/handle/10024/113028 URN:NBN:fi-fe2015072710732 |
_version_ |
1766141210998603776 |