Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Privacy-Preserving, Energy-Saving Data Aggregation Scheme in Wireless Sensor Networks

  • Zhou, Liming (School of Computer and Information Engineering, Henan University) ;
  • Shan, Yingzi (Dept. of Finance, Yellow River Conservancy Technical Institute)
  • Received : 2018.05.21
  • Accepted : 2019.01.28
  • Published : 2020.02.29
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Abstract

Because sensor nodes have limited resources in wireless sensor networks, data aggregation can efficiently reduce communication overhead and extend the network lifetime. Although many existing methods are particularly useful for data aggregation applications, they incur unbalanced communication cost and waste lots of sensors' energy. In this paper, we propose a privacy-preserving, energy-saving data aggregation scheme (EBPP). Our method can efficiently reduce the communication cost and provide privacy preservation to protect useful information. Meanwhile, the balanced energy of the nodes can extend the network lifetime in our scheme. Through many simulation experiments, we use several performance criteria to evaluate the method. According to the simulation and analysis results, this method can more effectively balance energy dissipation and provide privacy preservation compared to the existing schemes.

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References

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