DocumentCode :
2662328
Title :
Energy efficient/highly secure data aggregation method using tree-structured orthogonal codes for Wireless Sensor Networks
Author :
Zanjani, Motahareh Bahrami ; Monsefi, Reza ; Boustani, Arash
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Islamic Azad Univ., Mashhad, Iran
Volume :
2
fYear :
2010
fDate :
3-5 Oct. 2010
Abstract :
Among critical issues in Wireless Sensor Network (WSN) some impose more limitations over the design and implementation of an optimum WSN like channel capacity, resiliency, energy saving due to the limited availability of energy in wireless nodes, data privacy and confidentiality. A widely employed energy-saving technique is to utilize data aggregation. Data aggregation can reduce the number of transmitted packets within the network and prolongs the battery life. In return, data redundancy is required for secured transmission and privacy in interference limited and noisy environment. In this paper, a highly secured data aggregation method for WSN is proposed which ensures that information of all live nodes inside the network is accessible inside the sink node with the minimum redundancy. In our scheme, data of all live nodes stored in the sink are accessible inside the sink even if the wireless channel is polluted with noise and interference. Numerical results demonstrate better results in comparison with other presented algorithms.
Keywords :
data privacy; orthogonal codes; security of data; wireless sensor networks; channel capacity; data privacy; data redundancy; energy efficient data aggregation; highly secure data aggregation; tree-structured orthogonal codes; wireless sensor networks; Biological system modeling; Clustering algorithms; Complexity theory; Cryptography; Data privacy; Interference; Wireless sensor networks; CDMA; Data aggregation; Orthogonal duty cycle; Sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Technology and Engineering (ICSTE), 2010 2nd International Conference on
Conference_Location :
San Juan, PR
Print_ISBN :
978-1-4244-8667-0
Electronic_ISBN :
978-1-4244-8666-3
Type :
conf
DOI :
10.1109/ICSTE.2010.5608810
Filename :
5608810
Link To Document :
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