Smart device sensing architectures and applications

This paper illustrates the use of smart device sensors in various real time applications. Two types of sensor data processing architectures have been discussed. The on-device data processing architecture allows processing of the sensor data locally on the smart device itself and taking a desirable action. The on-server processing architecture requires the device to send the sensor data to a remote server for further computation and action. The pros and cons of these two types of architectures are pointed out. We have designed and implemented realistic Android applications using the smart device sensors and have categorized them broadly into these two architectures. The algorithms of the applications are described in detail along with the results. The paper also demonstrates an application of the atmospheric sensor, currently in research stages, in a virtually simulated device. Android platform is chosen to develop these applications since it is widely used and open source operating system.

[1]  Christian Bonnet,et al.  Survey, comparison and evaluation of cross platform mobile application development tools , 2013, 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC).

[2]  Soumya Kanti Datta,et al.  Traffic status monitoring using smart devices , 2013, 2013 International Conference on Intelligent Interactive Systems and Assistive Technologies.

[3]  Andrea Conti,et al.  An Overview on Wireless Sensor Networks Technology and Evolution , 2009, Sensors.

[4]  Emiliano Miluzzo,et al.  A survey of mobile phone sensing , 2010, IEEE Communications Magazine.

[5]  C. Keppetiyagama,et al.  A sustainable mechanism for gathering road traffic data using smart-phones , 2012, International Conference on Advances in ICT for Emerging Regions (ICTer2012).

[6]  Tomotaka Nagaosa,et al.  An emergency earthquake warning system using mobile terminals with a built-in accelerometer , 2012, 2012 12th International Conference on ITS Telecommunications.

[7]  L. Selavo,et al.  Towards Vehicular Sensor Networks with Android Smartphones for Road Surface Monitoring , 2013 .