Heterogeneous Hardware Fault-Detection Scheme for Large Scale Wireless Sensor Networks

Recently, Wireless Sensor Networks (WSNs) have become a key technology in various applications. Sensor nodes are prone to many types of failures such as hardware and software failure. The fault probability increases in large scale WSNs which decreases the quality of service (QoS). To achieve a good QoS it is required to develop efficient fault detection technique. This paper propose a hardware fault diagnosis scheme that detect the heterogeneous hardware fault such as sensor unit fault, trans-receiver unit fault , micro- controller unit fault and battery failure. Self detection takes place for detecting faulty receiver unit, faulty battery unit and faulty sensor unit by using vague set based similarity measurement technique whereas, faulty microcontroller and transmitter unit fault is detected by neighbor nodes. Proposed algorithm performance is evaluated using Simulator and verified the experiment result with other existing algorithms in terms of different performance metrics.