Enhanced location identification technique for Wireless Sensor Networks

Abstract

The identification of hot spots while active transmission in Wireless Sensor Networks (WSNs) is a challenging task. Several location discovery techniques have been focused on the device related localization that finds the terminal target devices. This paper proposes an identification of location using ANN methodology. The RSS signal has the parameter within the gathered data within the communication range is computed. The difference within the values is gathered using this method The non-linear functionality through the coordinate location is the identified output. Whenever the output value is in the monitoring range, the matrix index is used to train the nodes using ANN model, finally the coordinates for location identification may be computed. The mobility framework is implemented through the sensor node that the position of the node has been estimated within the communication range. The repeated data transmission is minimized so that the WSN burdens have been reduced using the node density procedure. The performance evaluation has demonstrated that the proposed method is able to achieve good performance without any particular terminals.