A Novel Cluster Setup for Fault Diagnosis of WSNS by Dag Scheduling and Log Files Using Internet of Things

Abstract

A wireless sensors network (WSNs) contains thousands of sensor nodes which may lead to failures because of unattended deployments in it. Communication in sensor nodes will not happen due to these failures which produce in correct data due to its unstable nature of jumping from normal state to fault state results in data loss and sensor connectivity issues. Therefore it is necessary to take appropriate measures in advance to detect sustain network failures. To overcome this in our paper we proposed the cluster management setup in which the events of failures are detected, diagnosed and recovered by using the flow of DAG scheduler and LOG FILES.