With the improvement of the degree of aging,the traditional pension model can no longer meet the growing needs of the elderly.Therefore,it is necessary to use the intelligent means of information technology to improve...With the improvement of the degree of aging,the traditional pension model can no longer meet the growing needs of the elderly.Therefore,it is necessary to use the intelligent means of information technology to improve the level of pension services.This paper will integrate multi-sensor fusion technology,NB-IoT communication technology and cloud platform technology to develop and design a smart pension online monitoring system to realize real-time collection of human health and motion status information and realize monitoring platform management.In this system,STM32 microcontroller will be used as the main control module,and MAX30102,ADXL345 and DS18B20 sensors will be used to collect the heart rate,blood oxygen,displacement and body temperature of the human body in real time.On the one hand,the communication part is completed by the BC20 Internet of Things module.The data transmission between the terminal detection device and the cloud platform,on the other hand,the HC-42 Bluetooth module is used to complete the data communication with the mobile phone.The test results show that the system can collect and process data accurately in real time and maintain good communication with the cloud platform and mobile phone.The designed system has strong pertinence,easy operation,high reliability and broad development prospects.展开更多
Cloud internet of things(IoT)is an emerging technology that is already impelling the daily activities of our lives.However,the enormous resources(data and physical features of things)generated from Cloud-enabled IoT s...Cloud internet of things(IoT)is an emerging technology that is already impelling the daily activities of our lives.However,the enormous resources(data and physical features of things)generated from Cloud-enabled IoT sensing devices are lacking suitable managerial approaches.Existing research surveys on Cloud IoT mainly focused on its fundamentals,definitions and layered architecture as well as security challenges.Going by the current literature,none of the existing researches is yet to provide a detailed analysis on the approaches deployed to manage the heterogeneous and dynamic resource data generated by sensor devices in the cloud-enabled IoT paradigm.Hence,to bridge this gap,the existing algorithms designed to manage resource data on various CloudloT application domains are investigated and analyzed.The emergence of CloudloT,followed by previous related survey articles in this field,which motivated the current study is presented.Furthermore,the utilization of simulation environment,highlighting the programming languages and a brief description of the simulation pack-ages adopted to design and evaluate the performance of the algorithms are examined.The utilization of diverse network communication protocols and gateways to aid resource dissemina-tion in the cloud-enabled IoT network infrastructure are also discussed.The future work as discussed in previous researches,which pave the way for future research directions in this field is also presented,and ends with concluding remarks.展开更多
基金supported by Jiangsu Provincial Natural Science Fund(BK20150247)the Fundamental Research Funds for Postgraduate Research&Practice Innovation Program of Jiangsu Province(XSJCX22_36,XSJCX22_44,SJCX22_1479)
文摘With the improvement of the degree of aging,the traditional pension model can no longer meet the growing needs of the elderly.Therefore,it is necessary to use the intelligent means of information technology to improve the level of pension services.This paper will integrate multi-sensor fusion technology,NB-IoT communication technology and cloud platform technology to develop and design a smart pension online monitoring system to realize real-time collection of human health and motion status information and realize monitoring platform management.In this system,STM32 microcontroller will be used as the main control module,and MAX30102,ADXL345 and DS18B20 sensors will be used to collect the heart rate,blood oxygen,displacement and body temperature of the human body in real time.On the one hand,the communication part is completed by the BC20 Internet of Things module.The data transmission between the terminal detection device and the cloud platform,on the other hand,the HC-42 Bluetooth module is used to complete the data communication with the mobile phone.The test results show that the system can collect and process data accurately in real time and maintain good communication with the cloud platform and mobile phone.The designed system has strong pertinence,easy operation,high reliability and broad development prospects.
基金support of the Research Management Centre(RMC)Universiti Teknologi Malaysia with the research grant(QJ 130000.2451.07G48)We would like to express our sincere thanks to all researchers who devoted their time and knowledge to the completeness of this research project。
文摘Cloud internet of things(IoT)is an emerging technology that is already impelling the daily activities of our lives.However,the enormous resources(data and physical features of things)generated from Cloud-enabled IoT sensing devices are lacking suitable managerial approaches.Existing research surveys on Cloud IoT mainly focused on its fundamentals,definitions and layered architecture as well as security challenges.Going by the current literature,none of the existing researches is yet to provide a detailed analysis on the approaches deployed to manage the heterogeneous and dynamic resource data generated by sensor devices in the cloud-enabled IoT paradigm.Hence,to bridge this gap,the existing algorithms designed to manage resource data on various CloudloT application domains are investigated and analyzed.The emergence of CloudloT,followed by previous related survey articles in this field,which motivated the current study is presented.Furthermore,the utilization of simulation environment,highlighting the programming languages and a brief description of the simulation pack-ages adopted to design and evaluate the performance of the algorithms are examined.The utilization of diverse network communication protocols and gateways to aid resource dissemina-tion in the cloud-enabled IoT network infrastructure are also discussed.The future work as discussed in previous researches,which pave the way for future research directions in this field is also presented,and ends with concluding remarks.
