ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORKS USING DATA FUSION ASSURANCE

ABSTRACT Data fusion techniques reduce total network traffic in a wireless sensor network, since data fusion can integrate multiple raw data sets into one fused data set. However, the security or assurance of the data requires more processing power and is an important issue. Increasing the security of the fusion data increases factors such as power consumption, and packet overhead. Therefore any data fusion assurance scheme must be power efficient as well as secure. There are currently several methods of data fusion assurance that have been proposed. Therefore, this paper looks at the current data fusion assurance methods and proposes new schemes focused on reducing power consumption. In this paper, several data fusion assurance schemes are also compared to determine which scheme is the most energy efficient

Sensor and ad-hoc networks: theoretical and algorithmic aspects

This book brings together leading researchers and developers in the field of wireless sensor networks to explain the special problems and challenges of the algorithmic aspects of sensor and ad-hoc networks. The book also fosters communication not only between the different sensor and ad-hoc communities, but also between those communities and the distributed systems and information systems communities. The topics addressed pertain to the sensors and mobile environment

An Efficient Clustering Technique for Reassignment of Isolated Regions

Fuzzy C-Means (FCM) clustering is a popular technique used in image segmentation and pattern recognition. However one of the main problems with FCM clustering is the lack of spatial context. That is FCM often fails with irregularly shaped clusters. This can lead to the creation of isolated regions; isolated regions are those regions that are not connected with the main body of the clusters. We propose a post-processing technique whereby these misclassified regions are identified and reassigned to their proper clusters. Keywords: Classification, fuzzy cluster, video game, image processing