Localization of sensors in WSN during Emergency Services (LSWES)

In wireless sensor network (WSN) sensor nodes are deployed in the physical environment such as forest area and other remote places and transmit the sensed data to the base station. Localization of sensor nodes play important role during data transmission from source to destination. Nodes which are connected with global positioning system(GPS) can be localized easily. But deployment cost is high in this case. On the other hand, if sensors are deployed in the physical environment such as dense forest area, localization of sensors is not always possible even with the help of GPS. Locating the sensor nodes which are not connected with GPS is the challenging task. Previously, various localization techniques have already been proposed. Some are range based localization and some are range free localization. However, there are some limitations of these approaches and localization error is high for most of the approaches. This paper proposed a novel localization technique in which nodes which are not connected with GPS can be able to detect its location with the help of Support Vector Machine (SVM). Proposed approach gives better result comparatively other existing approaches.