DocumentCode :
2449419
Title :
An Efficient Analysis for Reliable Data Transmission in Wireless Sensor Network
Author :
Lee, Ga-Won ; Lee, Jun-Hyung ; Lee, Seung-Jin ; Huh, Eui-Nam
Author_Institution :
Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
fYear :
2010
fDate :
6-10 Dec. 2010
Firstpage :
535
Lastpage :
540
Abstract :
Ubiquitous technology through sensor networks is being applied to numerous industrial fields specially to increase the quality of human life (QoL). Therefore, Wireless Sensor Networks (WSNs) lossless data is one of the communications challenges to provide accurate data. Although, end-to-end data retransmission has evolved as a reliable transportation in Internet, this method is not applicable to WSNs due to the lack of reliability of wireless link and resource constraints in sensor nodes. In our previous paper, we proposed a reliable data transfer using path-reliability and implicit ACK called RTOD on WSN. However, path reliability calculation components such as RSSI, channel error rate, number of transmission in RTOD method have not been studied thoroughly. In this paper, we analysis path reliability components and simulate by using NS-2. Moreover, we propose limited number of transmission method (LTM) for WSNs. Proposed scheme shows average 4.1% fault tolerance.
Keywords :
radio links; telecommunication network reliability; wireless sensor networks; Internet; NS-2 simulation; QoL; RTOD; WSN; data transmission reliability; end-to-end data retransmission; fault tolerance; implicit ACK; limited number-of-transmission method; path reliability component; quality-of-human life; ubiquitous technology; wireless link; wireless sensor network; Computer network reliability; Data communication; Error analysis; Protocols; Reliability; Wireless communication; Wireless sensor networks; Number of Transmission; Reliable Data Transfer; WSNs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing Conference (APSCC), 2010 IEEE Asia-Pacific
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-9396-8
Type :
conf
DOI :
10.1109/APSCC.2010.88
Filename :
5708617
Link To Document :
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