DocumentCode :
1854762
Title :
Congestion avoidance and control in sensor network based on fuzzy AQM
Author :
Luo Cheng ; Xie Weixin ; Li Qiusheng
Author_Institution :
ATR Key Lab. of Nat. Defense Technol., Shenzhen Univ., Shenzhen, China
Volume :
3
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
2134
Lastpage :
2138
Abstract :
When a large number of sensor nodes are transmitting data at the same time, there is a possibility of congestion in a network. Aiming at the problem of packet loss because of sensor network congestion, a novel algorithm for congestion avoidance and control, fuzzy active queue management (FAQM), is proposed. The Random Exponential Marking probability of packets and their priority weights are considered in the algorithm to establish a fuzzy logic inference system, regulating the sensor network packets intelligently by the reference result. The simulation experiments show that FAQM can avoid and control the congestion, reduce the dropping rate of high priority packets and stabilize the node´s queue length so as to enhance the link utilization ratio and improve the whole network QOS performance.
Keywords :
fuzzy control; fuzzy reasoning; probability; quality of service; queueing theory; radio links; telecommunication computing; telecommunication congestion control; telecommunication network management; wireless sensor networks; FAQM; congestion avoidance; congestion control; fuzzy AQM; fuzzy active queue management; fuzzy logic inference system; link utilization ratio; network QoS performance; packet loss; random exponential marking probability; sensor network congestion; Active queue management; Congestion avoidance and control; Random exponential marking; fuzzy logic inference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6492003
Filename :
6492003
Link To Document :
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