Current privacy-preserving data aggregation methods in wireless sensor networks often have large computational and communication costs. This paper presents an energy-efficient cluster-based privacy data aggregation (E-CPDA) mechanism based on the cluster-based privacy data aggregation (CPDA) method. In each round of aggregation, the cluster head chooses a node as a collaborative node for the aggregation, which reduces the computational and communication costs between the nodes in one cluster. Simulations show that E-CPDA has less communication and computational costs with good privacy-preserving performance and higher accuracy than CPDA.
MAN Dapeng
,
WANG Chenye
,
YANG Wu
,
WANG Wei
,
XUAN Shichang
,
JIN Xiaopeng
. Energy-efficient cluster-based privacy data aggregation for wireless sensor networks[J]. Journal of Tsinghua University(Science and Technology), 2017
, 57(2)
: 213
-219
.
DOI: 10.16511/j.cnki.qhdxxb.2017.22.017
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