Novel methodology of data management in Ad hoc network formulated using nanosensors for detection of industrial pollutants

Abstract

In Ad hoc Network of Nanosensors for Wastage detection, clustering assist in nodal communication and in organization of the data fetched by the nanosensors in the network. The attempt of traditional cluster formation techniques degraded the formation of cluster in a precise manner. The data from the nanosensors which act as the nodes of the network have to be distinctively added into the clusters. The dynamic path selection cluster would achieve this distinct addition by dynamically creating a path to the data as an initial process and then redirecting the data to their appropriate cluster based to the readied scheme. The formation of clusters is evaluated on the bases of the time taken in formation of cluster and the relevance in information clustering. In this paper the dynamic path selection clustering algorithm is deployed to the cluster formation in data from sensor set for the detection of wastage from industries. Based on the data accumulated from the nanosensors the assignment of fetched information is clustered appropriately. The analyses of the resultant obtain on evaluation process shows the cluster formation life time and relevancy in cluster formation has been more feasible than that of the existing approaches.