Improved Routing Protocol of Wireless Sensor Network Based on Wavelet Neural Network
- 10.2991/icmmita-15.2015.71How to use a DOI?
- wirless sensor network; LEACH; wavelet neural network; data fusion.
The resource and especially the node energy of the wireless sensor network are limited. It can effectively prolong the lifetime of the wireless sensor network by reducing the energy consumption in the process of information collection and transmission as much as possible. Hereby a routing protocol improved algorithm model based on wavelet neural network was proposed for saving the energy and prolonging the network lifetime. The proposed algorithm model combined the hierarchical structure of the wavelet neural network with the clustering structure of the network routing protocol. In each cluster a wavelet neural network model is designed, which process a large number of raw data collected by the sensors and obtains a few data representing the data information features of raw data. Thus the transmission amount of data is reduced and the energy is saved. The simulation results show that the improved algorithm has a better performance in balancing node energy and prolonging the lifetime of the network compared with the low energy adaptive clustering hierarchy (LEACH).
- © 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/).
Cite this article
TY - CONF AU - Xiaopeng Wang PY - 2015/11 DA - 2015/11 TI - Improved Routing Protocol of Wireless Sensor Network Based on Wavelet Neural Network BT - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 366 EP - 370 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-15.2015.71 DO - 10.2991/icmmita-15.2015.71 ID - Wang2015/11 ER -