An Energy-Efficient and Scalable Secure Data Aggregation for Wireless Sensor Networks
Joint Authors
Qin, Xiaolin
Liu, Liang
Wang, Taochun
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Due to the characteristics of resource-constrained and battery-powered sensors in wireless sensor networks (WSNs), energy consumption is always a major concern.
Data aggregation is an essential technique to reduce the communication overhead and energy consumption.
Since many applications require data privacy, we need to take security into consideration.
In this paper, we propose an energy-efficient, secure, highly accurate, and scalable scheme for data aggregation (EESSDA).
The main idea of EESSDA is that secure data aggregation is achieved by establishing secure channel and slicing technology.
The EESSDA scheme does not need encryption and decryption operations during the data aggregation, which saves energy and obtain high accuracy of aggregation results.
Meanwhile, in EESSDA scheme, the advanced deployment of shared information between nodes is not required, making the networks with good scalability.
Our analysis and simulations show that EESSDA is of lower communication overhead, more efficiency and accuracy, and better privacy preservation and scalability than existing schemes.
American Psychological Association (APA)
Wang, Taochun& Qin, Xiaolin& Liu, Liang. 2013. An Energy-Efficient and Scalable Secure Data Aggregation for Wireless Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-11.
https://search.emarefa.net/detail/BIM-502714
Modern Language Association (MLA)
Wang, Taochun…[et al.]. An Energy-Efficient and Scalable Secure Data Aggregation for Wireless Sensor Networks. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-502714
American Medical Association (AMA)
Wang, Taochun& Qin, Xiaolin& Liu, Liang. An Energy-Efficient and Scalable Secure Data Aggregation for Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-11.
https://search.emarefa.net/detail/BIM-502714
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502714