Abstract
In Wireless Sensor Network (WSN), collected data will be faulty due to internal and external influences, such as environmental conditions, communication link failure, battery drain, etc. These are reduces the reliability of the WSN network. Faults may affect on quality of services (QoS), in WSN networks faults may produce incorrect data provided by sensor nodes or the network may make a misjudgment on nodes or the network and placing relay nodes to tolerate these faults, to improve Qos and reliability of the network. In this work, we propose the prediction model Support Vector Machine (SVM) to predict faulty nodes in wireless sensor network and add minimum number of relay nodes as compared to existing system to recover the network proactively from the faults and to continue working successfully.
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