A real-time cooperative communication based wireless network is presented for monitoring health and activity of an end-user in their environment. The cooperative communication offers better energy consumption and also an opportunity to aware the current location of a user non-intrusively. The link between mobile sensor node and relay node is dynamically established by using Received Signal Strength Indicator (RSSI) and Link Quality Indicator (LQI) based on adaptive relay selection scheme. The study proposes a Linear Acceleration based Transmission Power Decision Control (LA-TPDC) algorithm to further enhance the energy efficiency of cooperative communication. Further, the occurrences of false alarms are carefully prevented by introducing three stages of sequential warning system. The real-time experiments are carried-out by using the nodes, namely mobile sensor node, relay nodes and a destination node which are indigenously developed by using a CC430 microcontroller integrated with an in-built transceiver at 868 MHz. The wireless node performance characteristics, such as energy consumption, Signal-Noise ratio (SNR), Bit Error Rate (BER), Packet Delivery Ratio (PDR) and transmission offset are evaluated for all the participated nodes. The experimental results observed that the proposed linear acceleration based transmission power decision control algorithm almost doubles the battery life time than energy efficient conventional cooperative communication.
A watermarking scheme based on SVM is implemented and analyzed for two different forms of copyright information, a 34 x 45 binary image and a sound signal for utterance of a word. In this work, the generalization ability of SVM using a basic linear kernel for two different forms of copyright information is analyzed. During extraction, SVM is trained using an extra reference watermark. The perceptual legibility of image and the sound are taken as the objective parameter for analysis. The copyright information is embedded in the positions where the values of the pixels are well within the limit decided by the mean of the surrounding pixels. The perceptual legibility is found to be increased by the above step. The experimental results show the perceptual legibility of sound is better even when the watermarked image is heavily distorted.
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