Abstract
Node positioning is a basic but important research direction in wireless sensor networks. In practical applications, sensor nodes are mostly randomly deployed, and the distribution is often uneven. There is a low positioning accuracy of nodes in wireless sensor network iterative positioning algorithm. Aiming at the problem of traditional localization algorithm, a new localization algorithm is proposed based on genetic method in this paper. The algorithm uses the genetic model to obtain the node velocity and orientation information, then according to the node's historical trajectory of time series we can get accurate sampling region that can get the high quality sample points which is closer to the unknown node. Simulation results show that the performance of proposed algorithm is superior to the traditional algorithms.
Highlights
Wireless sensor network (WSN) is a wireless networks where sensor nodes are self-organizing
Wireless sensor network network includes an anchor nodes and unknown nodes. It can be implemented with a laser or microwave communication between them.It is a challenging problem about the positioning algorithm
Some mathematics model is built according to the wireless sensor network communication system, a new genetic algorithm of route planning of WSN is proposed.Last,WSN node positioning algorithm and route planning method are simulated
Summary
Wireless sensor network (WSN) is a wireless networks where sensor nodes are self-organizing. Because the data closer to the predicted point is often more reflective predict the situation of the point These papers improved it, the use of forgetting factor in the parameter estimation, the new and old data are assigned different weights, and the minimum based on the weighting is proposed multiplication algorithm of positioning method. Wireless sensor nodes are often thrown sprinkle the way to the random deployment, the result is the sensor section point distribution which is often uneven density. References introduced the mobile beacon node assisted positioning mechanism, which is a typical approach to greatly reduce the network implementation deployment cost by using a limited number of mobile beacon nodes.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Statistics and Probability
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
