期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：4
DOI：10.15680/ijircce.2015.0304150
出版社：S&S Publications
摘要：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 theWSN network. Faults may affect on quality of services (QoS), in WSN networks faults may produce incorrect dataprovided by sensor nodes or the network may make a misjudgment on nodes or the network and placing relay nodes totolerate 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 wirelesssensor network and add minimum number of relay nodes as compared to existing system to recover the networkproactively from the faults and to continue working successfully
