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Precision-Enhanced and Encryption-Mixed Privacy-Preserving Data Aggregation in Wireless Sensor Networks

Author

Listed:
  • Geng Yang
  • Sen Li
  • Xiaolong Xu
  • Hua Dai
  • Zhen Yang

Abstract

Security is always a hot topic in wireless sensor networks (WSNs). Privacy-preserving data aggregation has emerged as an important concern in designing data aggregation algorithm. This paper proposes a precision-enhanced and encryption-mixed privacy-preserving data aggregation (PEPDA) . The objective is to reduce collision during data transmission and energy consumption and to compensate loss caused by the collision. Based on the Slice-Mix-AggRegaTe (SMART) scheme, it optimizes data slicing by using small data packet, node classifying, and positive and negative data slicing techniques. It also describes a randomized time slot and a data compensation algorithm. Theoretical analysis and simulation show that PEPDA demonstrates a good performance in terms of accuracy, complexity, and security.

Suggested Citation

  • Geng Yang & Sen Li & Xiaolong Xu & Hua Dai & Zhen Yang, 2013. "Precision-Enhanced and Encryption-Mixed Privacy-Preserving Data Aggregation in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 9(4), pages 427275-4272, April.
    • Handle: RePEc:sae:intdis:v:9:y:2013:i:4:p:427275
    DOI: 10.1155/2013/427275
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