AMBIENT INTELLIGENCE PARADIGM TO CONTROL DEVICES THROUGH MOBILE OVER WIRELESS SENSOR NETWORKS

Abstract: Rapid advancement in ambient intelligence (AI) has attracted different walks of people. AI systems provide robust communication in open, dynamic and heterogeneous environments. The wireless sensor networks play fundamental role in AI to provide automatic and multi tasking services anytime and anywhere. In this paper, novel paradigm has been introduced to control remotely available devices. We deploy BT node (sensor) that offers passive and active sensing capability to save energy. BT node works in passive mode for outdoor communication and active for indoor communication. The BT node is supported with novel automatic energy saving (AES) mathematical model to decide either modes. It provides robust and faster communication with less energy consumption. To validate this approach, we use two types of simulations: Test bed simulation is performed to control mobile supported content server (MSCS) explained in [13], [14], [15]. Ns2 simulation is done to simulate the behavior of network with supporting mathematical model. The main objective of this research is to access remotely available several types of servers, laptops, desktops and other static and moving objects. This prototype is initially deployed to control MSCS from remote place through mobile device. The prototype can further be implemented to handle several objects simultaneously in university and other organizations consuming less energy and resources. Keyword:-BT sensor node, Device controlling, AES mathematical model, saving energy, Ubiquitous communication