Experimental analysis using automated industrial sensor with integrated distributed data fault in distributed sensor networks

Abstract

Wireless sensor network is one of the important technologies which are used in the various applications like smart cities hospital and military and so on These applications utilize various characteristics such as energy harvesting resilience scalability while transmitting the information in the network Even though the Wireless Sensor Networks have efficient characteristics they have some issues like network load routing power consumption node failure etc This research introduces Integrated Distributed Data Fault Detection IDD method to examine the data fault while transmitting the data from one node to another node. The IDD method detects the data fault by calculating the sensing node fault probability value The developed IDD based data transmission process improves the overall system performance fault tolerance and packet forwarding rate in an effective manner. The information is transmitted with the help of the Lifetime Maximizing Dynamic Energy Efficient Routing Protocol which reduces the power consumption process at the entire node lifetime as well as to improve the overall fault tolerance packet delivery ratio performance and experimental analysis done for monitoring smart cities using automated industrial sensor The efficiency of the system is analyzed with the help of the experimental results and discussions IDD method examines the fault tolerance up to 95 when compared to the other existing methods such as Distributed Bayesian Algorithm DBA attains 90 and Data Fault Detection DFD obtains 80 newline