Wireless sensor network data fusion algorithm based on neural network in the area of agriculture

Sensors and Transducers

Volumn 16, Issue SPEC. 1, 2012, Pages 128-136

  Zhou, Yi ^a   Song, Gelian ^b   Wang, Maohua ^b  

^a ZHEJIANG GONGSHANG UNIVERSITY   (China)

^b Public information industry of Zhejiang province Co LTD   (China)

Author keywords

Data fusion; Neural network; Wireless sensor network

Indexed keywords

BATTERY ENERGY; COMMUNICATION BANDWIDTH; DATA FUSION ALGORITHM; FUSION TECHNOLOGY; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; PROCESSING POWER; STORAGE CAPACITY;

AGRICULTURE; ALGORITHMS; NEURAL NETWORKS; SENSOR NODES; TELECOMMUNICATION SYSTEMS; WIRELESS SENSOR NETWORKS;

DATA FUSION;

EID: 84874078755     PISSN: None     EISSN: 17265479     Source Type: Trade Journal    
DOI: None     Document Type: Article

References (5)

1. Akyildiz I. F., Su W., Sankarsubramaniam Y., et al. Wireless Sensor Networks, a Survey, Computer Networks, 38, 4, 2002, pp. 393-422.
2. Krishnamachari B., Estrin D., Wicker S., The impact of data aggregation in wireless sensor networks, in Proceedings of the 22nd International Conference on Distributed Computing Systems, 2002, pp. 575-578.
3. Xiqiang Song, Development of China's greenhouse, Southwest Agriculture, 28, 4, 2000, pp. 48-49.
4. Ruihong Gu, Hongke Zhang, The wireless network technology and its application based on ZigBee, Application of Electronic Technology, 6, 2005, pp. 1-3.
5. Y. Bar-Shalom. On hierarchical tracking for the real world [J]. IEEE Trans. on Aerospace and Electronic Systems, 42, 3, 2006, pp. 846-850.