A Novel Sugeno Type 2 Fuzzy System for Finding Error Positions Applying Localization in Wireless Sensor Network

1Ramkrishna Ghosh , Suneeta Mohanty, Prasant Kumar Patnaik, Sabyasachi Pramanik, Banani Ghose


In various usages where Wireless Sensor Networks (WSNs) have been utilized, this is vital to identify wherefrom Sensor nodes (SNs) or which position valuable details is attained. The Global Positioning System (GPS) is traditionally utilized to find out position. Nevertheless, GPS schemes are not perfect for various usages because of their extreme power utilization and high charge. As a substitute to GPS, distance and position may be approximated during the practice of more than three SNs with identified positions. Received Signal Strength Indication (RSSI) is the easiest and largely economical method applied to decide distance and position, and is a criterion aspect on each sensor. Howbeit, RSSI might be influenced through sound and ecological difficulties. Due to this, this is not easy to place up a statistical model for RSSI.The range free technique has various approaches to evaluate the location of SNs in a particular area. In our research work, Centroid localization is employed for development and investigation


WSN, Localization, GPS, RSSI, Centralized Localization, Soft Computing, Sugeno Type 2 Fuzzy System

Paper Details
IssueIssue 10