— We consider challenges associated with application domains in which a large number of distributed, networked sensors must perform a sensing task repeatedly over time. We addres...
The informal information can be so intuitive, emotional, personal, honest and subjective that it is very difficult to get them from the formal media. In this paper, we demonstrate...
We study the minimum s-t-cut problem in graphs with costs on the edges in the context of evolutionary algorithms. Minimum cut problems belong to the class of basic network optimiz...
Feature extraction and classification are two important components in pattern recognition. In this paper, we propose dynamic target classification in WSNs. The main idea of this a...
Node clustering and data aggregation are popular techniques to reduce energy consumption in large WSNs and a large body of literature has emerged describing various clustering prot...