DocumentCode
2875002
Title
A Data Transmission Mechanism for Survivable Sensor Networks
Author
Ma, Ruiping ; Xing, Liudong ; Jin, Tongdan ; Song, Tailiang
Author_Institution
Electr. & Comput. Eng., Univ. of Massachusetts, Dartmouth, MA, USA
fYear
2009
fDate
9-11 July 2009
Firstpage
9
Lastpage
15
Abstract
In wireless sensor networks (WSN), packets being sent over the transmission channel could get lost or corrupted due to factors such as channel noises, interferences, and node failures. Using the traditional retransmission mechanism to recover the lost/erroneous packets is costly or even impossible for WSN because sensor nodes are severely resource constrained and data transmission is the most energy intensive activity in WSN. An alternative approach is to apply forward error correcting (FEC) codes to achieve reliable data transmission. Nevertheless, FEC mechanisms do not provide security. To overcome this problem, an integrated mechanism has been proposed that systematically combines Reed-Solomon FEC codes and multiple versions of cryptographic algorithms to achieve both reliable and secure data transmission, leading to survivable WSN. In this paper, queuing modeling is applied to evaluate the performance of the integrated data transmission mechanism, and several case studies are performed to illustrate the application of the mechanism.
Keywords
Reed-Solomon codes; data communication; telecommunication network reliability; wireless sensor networks; Reed-Solomon FEC codes; cryptographic algorithms; data transmission mechanism; survivable sensor networks; wireless sensor networks; Automatic repeat request; Data communication; Data security; Error correction codes; Forward error correction; Information security; National security; Reed-Solomon codes; USA Councils; Wireless sensor networks; queuing model; reliability; security; survivability; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Architecture, and Storage, 2009. NAS 2009. IEEE International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3741-2
Type
conf
DOI
10.1109/NAS.2009.10
Filename
5197294
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