Research And Implementation Of Perception Data Query Processing Technology In Wireless Sensor Network

With the rapid development of wireless sensor network, the perception data query processingtechnology has become the key technology in the field of computer application; its purpose is toprovide all the required data to users. Due to the unique characteristics of sensor node, research onquery processing technology include two aspects, one is how to minimize the energy consumption,the other is how to protect the location privacy of perception data source.In this paper, the wireless sensor network sensor data query processing technology has beenstudied. Firstly an energy efficient spatio-temporal window query algorithm (STAW) underwireless sensor network is proposed; and then a source location privacy protection algorithmbased on ellipse (EBIN) is presented.The main work and innovations are as follows:(1)In spatio-temporal window query processing technology, the tree-based algorithm andline-based algorithm are analyzed respectively; point out the shortcomings of existing algorithmsuch as high energy consumption and low efficiency. Then an energy efficient spatio-temporalwindow query algorithm (STAW) under wireless sensor network is proposed. In STAW, byreducing the forwarding numbers of query message and perceptual data, thereby reducing theenergy consumption in the process of query processing, at the same time, improve the networkload balance, prolong the life cycle of network. Finally through the simulation experiments, theSTAW algorithm and the existing algorithms are compared and analyzed.(2) A detailed analysis of perception data source location privacy protection technology,point out the shortcomings of existing algorithms, such as poor performance of privacy and highenergy consumption. Then put forward a kind of ellipse based source location privacy protectionalgorithm (EBIN). Theoretical analysis proves that the algorithm can realize global energycontrollable and global location privacy, and it can avoid the generation of wasting path. Finallythe simulation experiments on the EBIN algorithm and the existing algorithms are compared andanalyzed.(3)Firstly, our project NHSensor’s design thought and the system structure are brieflyintroduced in the paper, pointing out the advantages of NHSensor. Then, on account of STAWalgorithm and EBIN algorithm, we present a query sub-system design and implementation. Thequery sub-system realizes the location privacy protection function of SQL and energy measurablecommunication module, finally this paper gives the realization of system code.