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Devasena, A.
- Wireless Sensor Network in Disaster Management
Authors
1 Dhanalakshmi College of Engineering, Anna University Chennai, Chennai - 601301, Tamil Nadu, IN
2 Department of ECE, Dhanalakshmi College of Engineering, Chennai - 601301, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 15 (2015), Pagination:Abstract
Background/Objectives: This paper proposes efficient disaster detection and alerting system to reduce losses due to the occurrence of natural disasters worldwide. Wireless Sensor Networks (WSN) helps in disaster management to reduce the mass destruction and huge loss due to climatic change by determining the amount of disaster occurred in a particular location. Based on the physical parameters measured by the sensors, appropriate remedial actions can be taken. Methods/ Statistical Analysis: In this paper, the utilization of the Heterogeneous Sensor Networks for Disaster Management (DM) is analyzed. Also, this paper reviews the types of disasters and the different sensors utilized for measuring their intensity. Heterogeneous clustering protocol is suggested for disaster management using wireless sensor networks. Moreover, utilizing heterogeneous clustering protocol increases the life time of the power constrained sensor node. Different types of Heterogeneous clustering protocols viz. SEP, DEEC, EDEEC, BEENISH are analyzed. Findings: Among these protocols, EDEEC and BEENISH protocols show better results when the number of parameters are increased. EDEEC protocol can be applied in the analysis of earthquake, storm and volcano and BEENISH protocol can be applied in the analysis of Tsunami. Application/Improvements: For disaster prone regions, these types of clustering protocols can be utilized efficiently in order to avoid huge loss for the society as well as for the human beings.Keywords
Clustering, Deployment, Disaster Management, Lifetime, Sensor NodeFull Text
- Image Processing using Wavelet Transform Based Noise Removal Filter
Authors
1 Dhanalakshmi College of Engg, Chennai, Tamilnadu, IN
2 Dhanalakshmi College of Engg., Chennai, Tamilnadu, IN
3 Research Division, GE(Energy), IN
4 Dr. MGR University, Chennai-95, Tamilnadu, IN
Source
Digital Image Processing, Vol 4, No 11 (2012), Pagination: 579-583Abstract
Image processing schemes which exhibits flexibility, adaptability and non-linearity are extremely useful for applications such as image transformation, correction of blurring effects, noise removal, histogram equalization etc. Images with random variations in Signal-to-Noise Ratio (SNR) can be treated with conventional adaptive filters. The demerits associated with adaptive filters are inability to cope with structural variations, limited performance to address low range noise spatial density (typically less than 0.2). This paper addresses these disadvantages and proposes a wavelet transform based filtering scheme for image processing. This scheme uses Peak Signal-to-Noise Ratio (PSNR) as performance metric and the results shows a higher PSNR was yielded by the scheme.
