Momicare: um middleware móvel para smartphones para gerenciamento de uma rede de sensores sem fio corporais

Abstract

The Internet of Things, or simply IoT, presents numerous solutions for the health area. Several sensors can be placed around the human body to monitor your vital signs and, from there, predict health problems. Managing these sensors presents a number of challenges that are not resolved by related research, such as the search for energy efficiency in data transmission, security, interoperability and synchronization between sensors that form a network of wireless body sensors. One solution to these problems is presented by the MOMICARE model, a mobile middleware for smartphones for managing a network of wireless body sensors. MOMICARE allows a smartphone to receive data from multiple sensors, store and re-transmit it to medical applications that need to use that data, offering low power consumption, security, wireless sensor network protocol independence and synchronization between data collected by sensors. The main scientific contributions of this work are the reduction of the energy consumption of devices that form a Wireless Body Area Network, and the offer of a temporal synchronism between the data of these devices. The model was analyzed through the implementation of a prototype and simulation environment, where evaluations were made of: (1) energy consumption ofWireless Body Area Network devices, (2) synchronization between devices and middleware, and 3) load on the device where the prototype was executed, considering the use of several simultaneous applications. As results obtained, it has been found that in Bluetooth Low Energy devices, the reduction in energy consumption exceeded 10% compared to conventional applications, whereas in standard devices IEEE 802.15.4 reduction in energy consumption reached up to 7.8%, when compared to the use of conventional applications. Another result obtained was the synchronization variation less than 0.5 seconds, acceptable values with respect to medical devices. Finally, in all the tests performed, no type of overload was verified, and the average use of the processor presented average values lower than 1%.