Sujee R. currently serves as Assistant Professor at the Department of Computer Science and Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore Campus. Her areas of research include Image Processing and Video Analytics.


Publication Type: Conference Proceedings

Year of Publication Title


Sujee R. and Dr. Padmavathi S., “Image enhancement through pyramid histogram matching”, 2017 International Conference on Computer Communication and Informatics (ICCCI). IEEE, Coimbatore, India, 2017.[Abstract]

Pyramids being an emerging technology in the field of image processing, this paper uses the same for enhancing images using histogram matching. It gives a detailed analysis of enhancing the images by improving their contrasts using histogram matching in the pyramid layers thus extracting the information from the images to the maximum possible. It also shows the variation in the contrast of the images when matched with different sets of images of different contrasts.

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Sujee R. and Kannammal, K. E., “Energy efficient adaptive clustering protocol based on genetic algorithm and genetic algorithm inter cluster communication for wireless sensor networks”, 2017 International Conference on Computer Communication and Informatics (ICCCI). IEEE, Coimbatore, India, 2017.[Abstract]

Wireless Sensor Networks (WSN) consists of independent sensors distributed across different locations, which are used to continuously record the environmental or physical conditions. The recorded data will be passed through the network from a sensor to a main location. Sensors life time is based on the battery power. Lower the battery power leads to decrease in lifetime for a sensor. It is important to increase the lifespan of sensors and also to distribute the power over WSN. Energy can be efficiently used up to some level in one of the hierarchy routing protocol that is Low Energy Adaptive Clustering Hierarchy (LEACH). This paper compares the performance of LEACH, Genetic-LEACH and Inter cluster Communication in LEACH. Here, first analyzed the basic operations involved in LEACH and then it is optimized using Genetic Algorithm (GA) to extend the life time of WSN. Finally these results are compared with LEACH which uses inter cluster communication to reach sink instead of direct communication. First set of Simulation results using MATLAB shows that the Genetic LEACH increases the living time of the WSN compared with LEACH, and also second set of results shows that the inter cluster communication in LEACH reduces energy consumption by the nodes significantly and the living period of WSN is increased compared with LEACH and with Genetic LEACH.

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Sujee R. and K.E., K., “Behavior of LEACH protocol in heterogeneous and homogeneous environment”, 2015 International Conference on Computer Communication and Informatics (ICCCI). IEEE, Coimbatore, India, 2015.[Abstract]

Wireless Sensor Network (WSN) technology used to sense various types of physical and environmental conditions with the availability of small and low-cost sensor nodes. Main drawback in WSN is limited battery power in the sensor nodes. It is needed to distribute the energy dissipated through WSN and also needed to maximize the lifespan of sensor nodes. Energy efficiency can be accomplished through hierarchical routing protocols. One of the fundamental protocol in this class is Low Energy Adaptive Clustering Hierarchy (LEACH). This paper gives a survey of LEACH routing protocol for WSN and compared the performance in homogeneous and heterogeneous environment. Here, first analyzed the basic distributed clustering routing protocol LEACH, which is in a homogeneous environment, then analysed with the heterogeneity concept in nodes to increase the life of WSN. Simulation results were obtained using MATLAB that shows the LEACH heterogeneous environment significantly reduces energy consumption and increases the total lifetime of the WSN than LEACH homogeneous environment.

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