MATEC Web of Conferences
Volume 59, 20162016 International Conference on Frontiers of Sensors Technologies (ICFST 2016)
|Number of page(s)||5|
|Section||Wireless communication and satellite engineering|
|Published online||24 May 2016|
Multiple target localization in WSNs using compressed sensing reconstruction based on ABC algorithm
1 School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731
2 Guangxi Colleges and Universities Key Laboratory of cloud computing and complex systems, Guilin University of Electronic Technology, Guilin 541004, China
In allusion to the application of compressed sensing theory in multi-target localization in wireless sensor networks, the paper proposes a method of sparse signal reconstruction based on artificial bee colony algorithm and designs partial update strategy of location coding. A mode of disturbances mutation operation for food source exploitation is designed to improve the search efficiency in high-dimensional solution space; it also improves the global search efficiency of the algorithm. The comparing of simulation analysis with other algorithms verifies that the algorithm effectively solves problem of multi-target localization in wireless sensor networks and has better resistance to interference.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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