|Table of Contents|

The Hardware Design of Wireless Sensor Networks(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2010年04期
Page:
8-11
Research Field:
Publishing date:

Info

Title:
The Hardware Design of Wireless Sensor Networks
Author(s):
Chu Jiamei12
1.School of Information Science and Engineering,Southeast University,Nanjing 210096,China;2.National Key Lab of Millimeter Waves,Southeast University,Nanjing 210096,China
Keywords:
W SN node ha rdw are design
PACS:
TP212.9;TN929.5
DOI:
-
Abstract:
This pape r show s the hardware design ofw ire less sensor netwo rks nodes according to the requ irem ents ofWSN and the actual s ituation of the system, conta in ing a senso r un it, processo r un it, A /D modu les, RF m odules, pow er supp ly un it and expanded inter face un it. CC2431 is used as the m icroprocesso r in the system. Tem perature, hum idity and sm oke senso r are used. And ZigBee protoco l is selected as theW SN transm ission protoco ls to ach ieve a low-powe rw ireless senso r netwo rk node hardw are platfo rm. And w ire less temperature m easurem ent exper im ent is com pleted using the designed sy stem.

References:

[ 1] 孙利民, 李建中, 陈渝, 等. 无线传感器网络[M ]. 北京: 清华大学出版社, 2005. Sun L im in, L i Jianzhong, Chen Yu, et a.l W ireless SensorN etwork[M ]. Be ijing: TsinghuaUn ive rs ity Press, 2005. ( in Chinese)
[ 2] Aky iid iz I F, SuW, Sankarasubram an iam Y, et a1. A survey on sensor netwo rks[ J]. IEEE Comm un icationM agazine, 2002, 40 ( 8): 102-114.
[ 3] 白飞, 喻晓峰, 杨岳磊. ZigBee网络的节能技术研究[ J]. 兵工自动化, 2008, 27( 10): 78-80. Ba i Fe ,i Yu X iaofeng, Yang Yue le.i Resea rch on ene rgy-sav ing techno logy o f Z igBee netwo rk [ J]. Ordnance Industry Autom ation, 2008, 27( 10): 78-80. ( in Ch inese)
[ 4] 孙延明, 刘志远, 蔡春丽, 等. 低功耗无线传感器网络节点的设计[ J]. 微计算机应用, 2009, 30( 2): 21-26. Sun Yanm ing, Liu Zh iyuan, C ai Chunl,i et a.l Low pow er consum ption design for w ireless sensor netwo rks nodes[ J]. M icrocomputerApplications, 2009, 30( 2) : 21-26. ( in Ch inese)
[ 5] H e inze lm anW, Chandrakasan A, Balakrishnan H. Energy-E ffic ient comm un ication protoco l forw ire lessm icrosenso r[ C] / / Proceeding o f the 3rd H aw a ii Internationa l Confe rence O il Sy stem Sc iences. H aw a i:i IEEE Press, 2000.
[ 6] Y ang S X, M axM eng. An effic ient neural ne tw ork approach to dynam ic robotM otion plann ing[ J]. N eural Netwo rk, 2000, 13: 143-148.

Memo

Memo:
-
Last Update: 2013-04-02