For variety of applications, Wireless Sensor Networks (WSNs) have become a new information collection and a monitoring solution. Faults occurring due to sensor nodes are common due low-cost sensors used in WSNs, deployed in large quantities and prone to failure. The goal of this paper is to detect faulty sensors in WSNs and avoiding the path failure nodes. Fault detection is based on the local pair-wise verification between the sensors monitoring the same physical system. Specifically, a linear relationship is shown between the output of any pair of sensors, when the input of a system comes from a common source. Using this relationship, faulty sensors may be detected by using forecasting model based on the parameter (i.e., temperature) and it also identifies which sensor is normal or abnormal. After the fault nodes are detected, first of all disable all the faulty nodes so that network is not affected by erroneous reading and send the information to the base station. Due to the nature of proposed algorithm, it can be scaled to large sensor networks and also saves energy from reduced wireless communication compared to the centralized approaches
Keywords: Fault detection, Forecasting, Wireless Sensor Networks (WSNs).
