Wildlife Protection System Of Data Aggregation And Storage Mechanism Research

Existing wildlife protection systems can achieve the goal of monitoring a wildlife reserve through analysis of the wildlife data collected from wireless sensor networks. However, on the sensing layer of these systems, such as wireless sensor networks, the privacy and the integrity of the sensitive data can’t be guaranteed in the process of data collection. On the application layer of these systems, relational database can’t meet the storage and query requirement of big data collected from sensing layer. Meanwhile, non-relational database brings the low space utilization of database servers and the imbalance of loads. This thesis studies the data acquisition and data storage mechanism of existing wildlife protection system, specific work is as follows.1. For the lack of sensitive data protection mechanism in sensing layer and short-life-cycle of wireless sensor network, this thesis has proposed a cluster-based private data aggregation scheme. Linear simultaneous equations and slicing are used to compute intermediate data aggregation values within clusters, and identity authentication is used to transmit intermediate data aggregation values between clusters. The scheme can protect the privacy and the integrity of sensitive data, it also can reduce the energy consumption of calculation and transmission, prolong service time of this system.2. For the problems of data redundancy, slow access speed and imbalance of loads in application layer, this thesis has proposed a distributed data storage mechanism based on NoSQL. This scheme first preprocess the big data collected from sensing layer, then design data storage and query scheme combined with consistency Hash algorithm and Memcached. The scheme can reduce the storage of big data under the premise of keeping the data characteristics, and it also can reduce the time of data storage and query.3. This thesis has developed the wildlife protection system based on the data aggregation scheme and the distributed data storage mechanism. The system is mainly aimed at protecting China’s rare wild animal-the panda. It can provide privacy and integrity protection of sensitive data, and efficiently storage and query of the mass data generated in the regulatory of wildlife protection system.