No abstract

The paper describes a system designed to manage and collect data from the network of heterogeneous sensors. It was implemented using Erlang OTP and CouchDB for maximum fault tolerance, scalability and ease of deployment. It is resistant to poor network quality, shows high tolerance for software errors and power failures, operates on flexible data model. Additionally, it is available to users through an Web application, which shows just how easy it is to use the server HTTP API to communicate with it. The whole platform was implemented and tested on variety of devices like PC, Mac, ARM-based embedded devices and Android tablets

The growing performance of low-cost mobile devices makes it possible to perform advanced processing on mobile sensors. This creates the need to building a management system for groups of sensors actively analyzing signals from hardware devices. In this paper, an architecture of a CouchDB-Based Sensor Management Platform is presented and its application for the problem of finding stolen cars is shown. Detailed performance tests of the platform as well as its application are provided.