DocumentCode :
2704004
Title :
ESPDA: Energy-efficient and Secure Pattern-based Data Aggregation for wireless sensor networks
Author :
Çam, H. ; Özdemir, S. ; Nair, P. ; Muthuavinashiappan, D.
Author_Institution :
Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA
Volume :
2
fYear :
2003
fDate :
22-24 Oct. 2003
Firstpage :
732
Abstract :
Secure data transmission and data aggregation are critical in designing cluster-based sensor networks. This paper presents an Energy-efficient and Secure Pattern-based Data Aggregation protocol (ESPDA) for wireless sensor networks. ESPDA is energy and bandwidth efficient because cluster-heads prevent the transmission of redundant data from sensor nodes. ESPDA is also secure because it does not require the encrypted data to be decrypted by cluster-heads to perform data aggregation. In ESPDA, cluster-head first requests sensor nodes to send the corresponding pattern code for the sensed data. If multiple sensor nodes send the same pattern code to the cluster-head, then only one of them is permitted to send the data to the cluster-head. Hence, ESPDA has advantages over the conventional data aggregation techniques with respect to energy, bandwidth efficiency and security. Simulations results show that as data redundancy increases, the amount of data transmitted from sensor nodes to cluster-head decreases up to 45% when compared to conventional algorithms.
Keywords :
aggregation; cryptography; pattern clustering; radio data systems; redundancy; wireless sensor networks; ESPDA; bandwidth efficient; cluster-heads; encrypted data; energy efficient; energy-efficient and secure pattern-based data aggregation; pattern code; redundant data; secure data transmission; sensor nodes; wireless sensor networks; Bandwidth; Base stations; Clustering algorithms; Computer science; Cryptography; Data communication; Data security; Energy efficiency; Wireless application protocol; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2003. Proceedings of IEEE
Print_ISBN :
0-7803-8133-5
Type :
conf
DOI :
10.1109/ICSENS.2003.1279038
Filename :
1279038
Link To Document :
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