Mobile Node-based Localization Algorithm For Wireless Sensor Networks

Node localization in wireless sensor networks is one of the core technology for wireless sensor networks, is the basis for wireless sensor networks can be applied in most environments. In most areas of the wireless sensor network applications, such as:target surveillance and tracking, routing and location information access, must determine the accurate location information of sensor nodes. Therefore, we must design a more accurate and effective localization algorithm, in order to reduce the cost positioning, while improving the accuracy of positioning.Wireless sensor networks is the rise of a new treatment and access to information technology, it contains embedded computing technology, sensor technology, wireless communication technology and low-power electronic technology, and he was in the field of health care, environmental monitoring and military has a broad application prospects. The key issues of the sensor node localization algorithm in wireless sensor networks, sensor networks, the basis and prerequisite for target recognition and tracking, and many other applications, is also a wireless sensor network research in one of the hot issues.The node localization technology is a key support to wireless sensor networks application technology, and a two-step node localization algorithm was proposed based on a mobile destination node in order to improve the accuracy of algorithms. The sensor nodes based on their orientation process with the Unscented Kalman Filter (UKF) target tracking method. As used by the target state model and measurement model has some uncertainty, we first selected three non-collinear with RSSI ranging capability of the destination node information, the use of Euclidean filtering method to improve the positioning accuracy of the initial position, thereby improving the positioning the effect. Through simulation, analysis and comparison of the trajectory of the target node in a variety of mobile positioning in case of error, indicating that the improved two-step method to improve the positioning of the destination node moving trajectory of the special requirements of constraints, and achieve better positioning accuracy, more suitable for practical situation.