DocumentCode :
2396877
Title :
Probabilistic Forwarding (ProFor) for large scale sensor networks
Author :
Chen, Xi ; Ho, Yu-chi ; Zhang, Jiansong ; Bai, Hongxing
Author_Institution :
Center for Intelligent & Networked Syst., Tsinghua Univ., Beijing
fYear :
0
fDate :
0-0 0
Firstpage :
963
Lastpage :
968
Abstract :
In this paper, a novel probabilistic approach is presented for directed data transmission without route discovery. In our model, we require each message can reach the BS successfully with a certain success probability and nodes which are located nearer to the base station relay messages with a certain relay probability. The relationship between the number of intermediate nodes and relay probability is analyzed and the condition for relay probability to guarantee a certain success probability of messages is obtained. This approach is robust, adaptive to change of topology of the sensor network and energy efficient. Implementation of this approach is discussed. Simulation helps to illustrate the main results obtained by analysis and shows that this approach is very energy efficient
Keywords :
data communication; probability; telecommunication network topology; wireless sensor networks; ProFor; base station; directed data transmission; energy efficiency; large scale sensor networks; probabilistic forwarding; relay probability; success probability; Base stations; Capacitive sensors; Costs; Data communication; Energy efficiency; Large-scale systems; Military computing; Protocols; Relays; Robustness; Data transmission; Relay probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Ft. Lauderdale, FL
Print_ISBN :
1-4244-0065-1
Type :
conf
DOI :
10.1109/ICNSC.2006.1673279
Filename :
1673279
Link To Document :
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