Abstract
This paper presents a sectional algorithm for indoor location using wireless sensor networks. This algorithm uses the motion regularity of target to compute the next motion area quickly and apply the pre-processed compressive sensing method to that area, which reduce the location problem to a sparse signal reconstruction problem. Then we carry out the proposed algorithm on the motion of next time turn by turn, such procedure is able to locate with fewer data collection, wireless links and wireless nodes as well as raise the accuracy of location. The simulation results show that the proposed algorithm of dynamic motion based compressive sensing sectional location method has a good performance.
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Li, Y., Jiang, N. (2017). A New Indoor Location Method Based on Real-Time Motion and Sectional Compressive Sensing. In: Huang, DS., Hussain, A., Han, K., Gromiha, M. (eds) Intelligent Computing Methodologies. ICIC 2017. Lecture Notes in Computer Science(), vol 10363. Springer, Cham. https://doi.org/10.1007/978-3-319-63315-2_13
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DOI: https://doi.org/10.1007/978-3-319-63315-2_13
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