SensoMan: Remote management of context sensors

Abstract

Sensor networks that collect data from the environment can be utilized in the development of different context-Aware applications bringing in sight the need for data collection, management and distribution. Boards with microcontrollers are gaining on acceptance and popularity in the latest years mainly for educational and research purposes. Utilizing the information available via sensors connected to these platforms requires the presence of adequate infrastructure for the management of the sensor system, in order to retrieve information and control its use. In this work, we present the prototype of our sensor management system SensoMan that manages a collection of sensors spread in the environment connected to specific boards. The proposed system can be extended with more sensors and combined with different applications for the efficient use of the sensor data in context-Aware applications. In this paper we present the architecture of SensoMan and its main modules. © 2015 ACM.