An efficient approach to detect faulty readings along the substrate access wireless long-thin sensor networks

Wireless sensor networks (WSN) are composed of hundreds or thousands of small nodes (sensors), which work together and are associated with specific tasks to do. A long-thin network topology of wireless sensor can produce errors in network localisation due to special deployment of nodes; also it can cause detecting nodes with faulty readings. This paper proposes an efficient algorithm to determine faulty readings in WSNs. The proposed algorithm uses correlation of average readings of two nodes to detect nodes with faulty readings. This algorithm reduces computational complexity of the correlation algorithm and has high accuracy.