Data Merging Method by Protecting Energy in Wireless Sensor Networks

Privacy protecting is a direct manifestation of information confidentiality, such as the perception of the terminal location information. Data collection is an important information resource of things, and it is also one of the needs for protecting sensitive information. Privacy protecting has a significant role in application of the Cyber Physical Systems (CPS). As a part of the Internet Technology, Wireless Sensor Networks (WSNs) can supply the privacy protecting in data merging. This paper presents a novel data merging method (DMM) by protecting energy in wireless sensor networks, which utilities properties of the data merging tree framework to depress communication overhead. It randomly allocates the time slices to nodes with the aim of avoiding impact, and limits the impacted range to loss resilience. Compared with the PDA algorithm, the experimental results show that DMM can protect data privacy and achieve accurate data merging results while getting the same epoch delay as tiny aggregation algorithm. It has small communication overhead. DMM uses datadependent fusion characteristics of the tree structure to eliminate PDA algorithm for unnecessary communication node so that the data transmission amount is reduced to about 52% of PDA in case of the same privacy protection security.