Informatics Publishing Limited

S. Indhumathi ¹, D. Venkatesan ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Wireless Sensor Network is a group of sensor nodes aimed to monitor various environmental conditions at the field locations. Eventually the sensed data is sent to a processing center. Each sensor node consists of a different number of sensors for sensing different parameters in the field area. The sensor nodes are usually equipped with a pair of limited alkaline battery. Achieving maximum coverage deployment is a major problem in wireless sensor networks. In the Existing system, by using the Random Deployment some nodes may get overlapping this will cause unbalanced structure. By using maximum coverage sensor deployment problem, the Coverage achieved only for static nodes. In the proposed system, a Genetic Algorithm is used to deploy Sensor Nodes for the Maximum coverage within the area, where the sensors are of different types. In this work, first analyze the total coverage area the WSN, identify the types of Sensor nodes and Coverage sensing distance, and calculate the coverage sensing distance for the combination of all sensor types based on radius of each node. Improving the deployment of Dynamic nodes for achieving maximum coverage deployment by using Genetic Algorithm. As a result, we were implemented this work in Java. This will show the best performance in coverage and network lifetime.

Keywords

Coverage Deployment, Genetic Algorithm (GA), Wireless Sensor Networks (WSN)

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T. Punithavalli ¹, S. Indhumathi ¹, V. Karthika ¹, R. Nandhini ¹

Affiliations
1 P.A. College of Engineering and Technology, Pollachi, IN

Abstract

It is important to keep the image secret with the growing popularity of digital media's through world wide web to avoid geometric attacking and stealing of images. A new digital image hiding algorithm that provides the security of hidden image, Imperceptibility, Robustness, Anti attacking capability is proposed. To achieve this, two different algorithms are used in frequency domain. The first algorithm is Discrete Wavelet Transform (DWT) and the second one is Singular Value Decomposition (SVD). Wavelet coefficients of secret and carrier image is found using DWT. In this the images are divided into four frequency part called LL, LH, HL, and HH. Low frequency component possess main information. So the low frequency part alone taken for the process of SVD to increase imperceptibility. The processed secret image is embedded into the transformed carrier image. From this implementation of new digital image hiding algorithm, image can be stored and transmitted without any loss in that image even after getting affected by external factors such as rotation and noise. The parameter used to test the robustness is peak signal to ratio (PSNR). The experimental results shows that the proposed method is more robust against different kinds of attacks.

Keywords

Image Hiding, DWT, SVD, Frequency Domain, Attacks.

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P. Sumathy ¹, S. Indhumathi ¹, V. Bhuvaneshwari ¹, Ashwin Bhaskar ¹

Affiliations
1 Department of Electronics and Communication Engineering, SRM University, 100 Feet Road, Vadapalani, Chennai - 600026, Tamil Nadu, IN

Abstract

Objectives: Vibrations are propagated onto a UAV camera mount; this leads to improper images. We analyze the vibrations occurring in and come up with a solution to suppress them. Methods/Analysis: The vibrations occurring in a quadcopter are first measured by using a piezoelectric element, and then the existing algorithms for vibration suppression are compared. The data recorded is then imported in MATLAB and the NLMS algorithm is applied on it. Following this we generate a vibration, measure it and generate an anti-vibration to cancel it to prove the concept of vibration suppression. Findings: The best suited algorithm among the LMS, Fx-LMS and the NLMS algorithms is the NLMS algorithm because it has an estimate for the step factor and is stable. The main frequency of vibrations of the quadcopter camera mount is measured as 17.91Hz. The measured frequency from the generated vibrations of 25Hz is 23.17Hz. The vibrations after suppression are found to be lesser in intensity. Application/Improvements: The concept stated could find application in suppressing vibrations occurring in a quadcopter camera mount. A frequency tracking algorithm could be developed additionally to suppress vibrations of varying frequencies.

Keywords

Active Vibration Suppression, NLMS Algorithm, Phase Synchronization, UAV.

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