Informatics Publishing Limited

A. R. Revathi ¹, B. Santhi ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur, Tamilnadu, 613402, IN

Abstract

The main objective of this paper is to balance the load among the dissimilar clusters in the network such that lifetime of the network is improved by using Load Balanced Clustering Algorithm (LBCA). In previous algorithm, no relay node is represented to control the network for balancing the load among the clusters. In LBCA, the nodes are grouped into clusters such that network is controlled by the gateway instead of cluster head. This enhances the performance of the network. Load balanced clustering algorithm, improves the communication among dissimilar sensors in the network. To analyze the effectiveness of the technique, the performance of WSNs spread over numerous dissimilar routing procedures are considered. Simulation results indicate that regardless of the routing process used, our method improves the network lifetime. The proposed algorithm improves the performance and success analysis chart and Energy analysis chart, when compared to GA.

Keywords

Clustering, Genetic Algorithm, Load Balancing, Performance Wireless Sensor Network (WSN)

Full Text

   

A. R. Revathi ¹, Dhananjay Kumar ²

Affiliations
1 Department of Information Technology, Valliammai Engineering College, IN
2 Department of Information Technology, Madras Institute of Technology, Anna University, Chennai, IN

Abstract

An efficient moving object Segmentation is useful for real time content based video surveillance and Object Tracking. Commonly a foreground is extracted using a mixture of Gaussian followed by shadow and noise removal to initialise the Object Trackers. This technique uses a kernel mask to make the system more efficient by decreasing the search area and the number of iterations to converge in the new location of the object. In the background model, the post processing step is applied to the obtained object mask to remove noise region and to smoothen the object boundary which incurs additional delay. In this paper a Background Buffering algorithm (BBA) is proposed to construct a reliable background model based on a sequence of input frames. Except moving object data, the other data is used to build reliable background representation. The result shows significant decrease in run-time for the higher level processing steps of surveillance system.

Keywords

Object Segmentation, Video Segmentation, BBA Algorithm, Background Registration.

Full Text