Title :
Trade-offs in the Distribution of Neural Networks in a Wireless Sensor Network
Author :
Holenderski, Mike ; Lukkien, Johan ; Khong, Tham Chen
Author_Institution :
Department of Mathematics and Computing Science, Eindhoven University of Technology, The Netherlands
Abstract :
This article investigates the tradeoff between communication and memory usage in different methods of distributing neural networks in a Wireless Sensor Network. A structural approach is presented, categorized in two dimensions: horizontal and vertical decomposition. Horizontal decomposition turns out to be more attractive, due to high reuse of data present at the processor node. General properties of an alternative sematic approach are suggested theoretically allowing to dramatically increase efficiency.
Keywords :
Batteries; Computer networks; Distributed computing; Energy consumption; Intelligent networks; Mathematics; Neural networks; Supervised learning; Temperature sensors; Wireless sensor networks;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005. Proceedings of the 2005 International Conference on
Print_ISBN :
0-7803-9399-6
DOI :
10.1109/ISSNIP.2005.1595589
