학술논문

Enhanced location identification technique for Wireless Sensor Networks
Document Type
Conference
Source
2021 5th International Conference on Trends in Electronics and Informatics (ICOEI) Trends in Electronics and Informatics (ICOEI), 2021 5th International Conference on. :716-720 Jun, 2021
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Robotics and Control Systems
Signal Processing and Analysis
Wireless communication
Performance evaluation
Location awareness
Wireless sensor networks
Zigbee
Performance analysis
Object recognition
Wireless Sensor Networks
Artificial Neural Networks
Location
Received Signal Strength
terminal devices
Language
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.