Application of Value Engineering in Wireless Nano- sensor Network to Monitor Global warming Affected by Uncontrolled Urbanization

In the present scenario weather uncertainty is established as the greatest collective challenge faced by human beings. It is also well established that in weather science the most crucial variables are the least well predicted. Assessments of weather change impacts, which are useful for stakeholders and policymakers, depend critically on regional and decadal scale projections of weather extremes. Thus, weather scientists often need to develop qualitative inferences about inadequately predicted weather extremes based on insights from observations or conceptual understanding. These urgent societal priorities offer grounds for knowledge discovery approaches. The factors responsible for weather change in terms of environmental degradation and subsequently global warming leading subsequent change in agriculture, food production and food security. It also causes the uncertain storm and heavy rainfall which turns into flood. So, in this research work it is preferred to find out the relationship between climate degradation and global warming due environmental pollution and biological wastes through wireless nano sensors network (WNSN) caused by highly congested and uncontrolled development of urbanization to manage the habitant problem of huge population which is the major requirement of growth in developing countries like India.