Context-awareness application to control multiple sensors for monitoring smart environment

Context awareness plays an important role that is implemented in smart application. It increases the productivity of smart home as well as pervasive and mobile application. For improving the performance of monitoring human activity that leads us to solve the problem and in order to reduce energy use in case the user forgets to turn off the light, or if we have to take time to walk to the installation of switch control board, this period of time causes long term energy consumption. So that the lighting control system is for the huge energy saving potential. Electricity use quickly decreases when we have the ability to dim lights, utilize natural light, and turn lights off when a room is not occupied. This research introduces a context-awareness application that needs to innovate using multiple sensors technology and a system will capture user's movement with respect location and time context that could be measured with motion sensor and other sensors for improving their quality of their routine life and decreasing energy using rate is the outcome of this challenge for the smart room. The system controls multiple sensors such as passive infrared, light dependent resister and humidity and temperature sensors that we provided to read data from the real environment. Various issues and mechanisms that address have been implemented and tested. Implementation and experiments have been performed where users move in/out of the sensors range, and while adhering to different functionality such as services or controlling multiple sensors.

[1]  Peter J. Brown,et al.  Context-aware applications: from the laboratory to the marketplace , 1997, IEEE Wirel. Commun..

[2]  Chi Harold Liu,et al.  A survey of context-aware middleware designs for human activity recognition , 2014, IEEE Communications Magazine.

[3]  Markus Endler,et al.  A Middleware Architecture for Context-Aware and Location-Based Mobile Applications , 2008, 2008 32nd Annual IEEE Software Engineering Workshop.

[4]  Radoslaw Klimek Behavior Recognition and Analysis in Smart Environments for Context-Aware Applications , 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

[5]  A. Anbarasi,et al.  Design and implementation of smart home using sensor network , 2013, 2013 International Conference on Optical Imaging Sensor and Security (ICOSS).

[6]  Euiho Suh,et al.  Context-aware systems: A literature review and classification , 2009, Expert Syst. Appl..

[7]  Keunhyuk Yeom,et al.  CASS: A Context-Aware Simulation System for Smart Home , 2007, 5th ACIS International Conference on Software Engineering Research, Management & Applications (SERA 2007).

[8]  P. Pasquina,et al.  Sensor technology for smart homes. , 2011, Maturitas.

[9]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[10]  Malek Adjouadi,et al.  Artificial Intelligence Approach of Context-Awareness Architecture for Mobile Computing , 2006, Sixth International Conference on Intelligent Systems Design and Applications.

[11]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[12]  Guanling Chen,et al.  A Survey of Context-Aware Mobile Computing Research , 2000 .