Using Self-Organizing Map in Backbone Formation for Wireless Sensor Networks

Author

Ji, Sai ; Yuan, Shen-Fang ; Cui, Meng-meng

Author_Institution

Aeronaut. Sci. Key Lab. for Smart Mater. & Struct., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

Volume

3

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

468

Lastpage

472

Abstract

Backbone formation has been used extensively in various aspects for wireless sensor networks recently. Many methods are mostly designed to minimize the size of the backbone or find small cost path. This paper propose the Artificial Neural Networks Routing (ANNR) algorithm which use self-organizing map to measure the Quality of Service supported by the networks. A method of offline process and online process is discussed to deal with constrains on sensor data computing and power consumption. Experimental results have confirmed the algorithm feasibility and the validity.

Keywords

quality of service; self-organising feature maps; telecommunication computing; telecommunication network routing; wireless sensor networks; ANNR algorithm; artificial neural networks routing algorithm; backbone formation; offline process; online process; power consumption; quality of service; self-organizing map; sensor data computing; wireless sensor networks; Artificial neural networks; Costs; Energy consumption; Materials science and technology; Protocols; Quality of service; Routing; Space technology; Spine; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.55

Filename

5366709