Fault Detection Methodology in Wireless Sensor Network
Dinesh A. Kumar, S. Smys, G. Smilarubavathy, Frank Holzwarth · 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on · 2018
In recent years, the more intellectual services are distributed using the Wireless Sensor Networks by incorporating with the consumer electronic devices. Typically, the service afford by the Wireless Sensor Networks are estimated for more than a few months or even a number of years with unattended and continuous service. But the major problem for this estimation is the reliability of hardware. To overcome this problem and also to perceive failures in different components of hardware, software based- overhead minimum fault detection method is used. Moreover the sturdiness of Wireless Sensor Network is improved by accurate and timely detection of fault nodes. So a new algorithm is proposed called Fault Detection Based on Clustering approach (FDBC) which increases scalability of the system and decrease load of network detection. By using this algorithm WSN initially clustered based on a protocol, called Low Energy Adaptive Clustering Hierarchy (LEACH) protocol and later consistency of cluster head nodes are verified. In the experimental results the permanent and transient faults are detected and using FDBC algorithm energy consumption is reduced.