A Middleware of Wireless sensor networks for Home healthcare monitoring application: Design and implementation based on multiple module of data acquisition
Independent thesis Advanced level (degree of Master (Two Years)), 10 credits / 15 HE creditsStudent thesis
With the continued increases in the global population, a serious problem will occur in relation to an ageing population. The reason for this is that a significant number of elderly people may suffer from serial chronic diseases making it difficult for them to live independently and thus they pose a significant economic burden for both themselves and for their government. In order to solve this problem, more and more E-healthcare applications are being designed. In addition, a wide range of medical sensors exist, which can monitor almost all the important physiological parameters of the human body. However, different sensors may use different communication protocols, data units and formats. Additionally, the elderly may use more than one E-healthcare application at the same time and this can lead to problems if there is more than one data source. The project “A Middleware of Wireless sensor networks for Home healthcare monitoring application” is designed to solve these problems. The focus of this report is on the design and implementation based on multiple modules of data acquisition. There are four data acquisition modules which include the ZigBee module, 6LowPAN module, Wi-Fi module and a Bluetooth module. Thus, multiple data acquisition module middleware supports the sensor by means of ZigBee, 6LowPAN, Wi-Fi and Bluetooth. The tasks of the middleware are to collect packets from sensors, perform data processing and mapping and then displaying as real-time data and finally transmitting the data to the remote server.
Place, publisher, year, edition, pages
WSn, E-healthcare application, middleware.
IdentifiersURN: urn:nbn:se:miun:diva-19702OAI: oai:DiVA.org:miun-19702DiVA: diva2:640459
Subject / course
Computer Engineering DT1
International Master's Programme in Computer Engineering TDAAA 120 higher education credits