Wireless sensor network data fusion based on GSO improved BP algorithm

DOI

10.2991/icmse-15.2015.77How to use a DOI?

Keywords

wireless sensor networks; data fusion; BP neural network; GSO algorithm.

Abstract

In order to improve the efficiency of data fusion in wireless sensor networks and reduce the energy consumption of the system, a new method of data fusion based on GSO algorithm for optimizing BP neural network is proposed. Sensor nodes sensing data, and then use the GSO algorithm to optimize the BP neural network data fusion. The simulation experiments results show that the proposed algorithm is better than the other typical algorithms and it improves the efficiency of data fusion, saves the energy consumption and prolongs the network life.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fanjin Mai
AU  - Huajian Huang
PY  - 2015/12
DA  - 2015/12
TI  - Wireless sensor network data fusion based on GSO improved BP algorithm
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 418
EP  - 422
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.77
DO  - 10.2991/icmse-15.2015.77
ID  - Mai2015/12
ER  -