Abstract
Based on RSSI ranging and trilateration positioning, an improved particle swarm optimization combined with RSSI self-correcting localization algorithm for Wireless Sensor Networks was proposed. Simulation results showed that the accuracy of this algorithm increased by almost 30% than trilateration, while improving the particle swarm optimization algorithm which may hardly converge to the optimal solution as falling into the local extreme area . This algorithm obtained better solution than node localization based on particle swarm optimization for WSNs, and then enhance the stability and convergence of the algorithm.
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© 2011 Springer-Verlag Berlin Heidelberg
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Ming-yu, S., Ya-jing, L., Ming-shun, Z. (2011). Study of Node Localization Algorithm Based on Improved Particle Swarm Optimization and RSSI for WSNs. In: Yang, D. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25992-0_27
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DOI: https://doi.org/10.1007/978-3-642-25992-0_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25991-3
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