无线传感器网络中数据融合算法研究

The research on algorithm of data aggregation in wireless sensor networks

在提供高效的数据融合的同时保障数据的安全是无线传感器网络的研究的一个具有挑战性的问题。本文为加法融合函数设计了一种具有隐私保护功能的数据融合算法——基于分簇的安全数据融合。该算法利用了分簇协议和多项式的代数性质。其优点为带来的通信开销较小。研究的主要目标是提高无线传感器网络中数据融合效率的同时，保证数据的安全性。

Providing efficient data aggregation while preserving data privacy is a challenging problem in the research of wireless sensor networks. In this paper, a privacy-preserving data aggregation scheme for additive aggregation fimctions--Cluster-based Private Data Aggregation （CPDA） is presented, which leverages clustering protocol and algebraic properties of polynomials. It has the advantage of incurring less communication overhead. The goal of the research is to preserve data privacy while providing efficient data aggregation.