DocumentCode
2866094
Title
Biologically Inspired Approaches for Wireless Sensor Networks
Author
Ren, Hongliang ; Meng, Max Q -H
Author_Institution
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin
fYear
2006
fDate
25-28 June 2006
Firstpage
762
Lastpage
768
Abstract
Biological systems present a remarkable adaptation, reliability and robustness in the dynamic and even hostile environments. Also, the networks that govern the flow of resources and information are ubiquitous in nature. Most of them are performed by individuals in a distributed and self-organized way. These mechanisms provide useful paradigms for designing the wireless sensor networks, where the individual nodes operate without central control. This paper investigates the existing sensor network design paradigms that inspired from the biological system. The investigation ranges from cell level mechanisms to collective activities performed by social insects, in an effort to apply these inspirations to the sensor networks. This paper involves the problems in the design of wireless sensor networks, including routing, congestion control, medium access control, and clustering problem
Keywords
access protocols; genetic algorithms; particle swarm optimisation; pattern clustering; reaction-diffusion systems; search problems; telecommunication congestion control; telecommunication network routing; wireless sensor networks; biological systems; clustering problem; congestion control; medium access control; routing; sensor network design; social insects; wireless sensor networks; Ant colony optimization; Biological systems; Biosensors; Centralized control; Insects; Negative feedback; Robustness; Routing; Sensor systems; Wireless sensor networks; Biologically Inspired; Network Protocol; Swarm Intelligence; WSN;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location
Luoyang, Henan
Print_ISBN
1-4244-0465-7
Electronic_ISBN
1-4244-0466-5
Type
conf
DOI
10.1109/ICMA.2006.257686
Filename
4026180
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