Privacy-Preserving, Energy-Saving Data Aggregation Scheme in Wireless Sensor Networks
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초록
Because sensor nodes have limited resources in wireless sensor networks, data aggregation can efficientlyreduce communication overhead and extend the network lifetime. Although many existing methods areparticularly useful for data aggregation applications, they incur unbalanced communication cost and waste lotsof 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 protectuseful 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. Accordingto the simulation and analysis results, this method can more effectively balance energy dissipation and provideprivacy preservation compared to the existing schemes.
Abstract
Because sensor nodes have limited resources in wireless sensor networks, data aggregation can efficientlyreduce communication overhead and extend the network lifetime. Although many existing methods areparticularly useful for data aggregation applications, they incur unbalanced communication cost and waste lotsof 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 protectuseful 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. Accordingto the simulation and analysis results, this method can more effectively balance energy dissipation and provideprivacy preservation compared to the existing schemes.
참고문헌 (24)
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