Research On Range Query Protocol For Two-layer Wireless Sensor Networks Based On Optimized Paillier Algorithm

With the rapid development of Internet of Things technology,wireless sensor networks have been widely used in important fields such as natural environment perception,military monitoring,and industrial production.Among them,the two-layer wireless sensor network is a wireless sensor network with sensing nodes as the bottom layer,storage nodes as the middle layer,and query nodes as the upper layer.Due to its advantages of simple topology,stable link quality,single routing structure,efficient query and load balancing,the issue of security and privacy range query under two-layer wireless sensor networks has attracted the attention of many scholars.However,existing methods still have chance for optimization in terms of sensory node energy consumption and data comparison.Although the range query method can help users quickly obtain the required data,since the query results usually contain a large amount of invalid data,these data need to be calculated twice to obtain valuable information.Therefore,it is necessary to explore a new range query model to solve the technical requirements of data secondary calculation.(1)Aiming at the problems of complex key management mechanism of the current range query method and insufficient optimization of computing energy consumption of sensing nodes,a lightweight Paillier encryption algorithm with information verification function is proposed.This algorithm is an asymmetric encryption algorithm,which is superior to the symmetric encryption algorithm widely used in the current range query in terms of key management.In addition,the algorithm also integrates the information verification function,without introducing an additional verification mechanism,the optimized Paillier encryption algorithm can be used for information verification to ensure the authenticity of the data.(2)Aiming at the low data comparison efficiency of the current range query method and the insufficient optimization of communication energy consumption of sensing nodes,an efficient data comparison method based on the leftmost 0-1 encoding and HMAC data digest algorithm is proposed,which can ensure that the data is not Implement data value size comparison in case of leakage.Effectively improve range query efficiency and service life of wireless sensor networks.(3)Aiming at the technical requirements of secondary calculation of data after range query that may be proposed by users,this paper utilizes the homomorphic operation property of optimized Paillier algorithm to complete the secondary calculation of query results on storage nodes.Compared with the current range query method that implements secondary calculation in the sink node,the calculation model in this paper not only improves the efficiency of data calculation,but also reduces the risk of data congestion,shortens the query calculation time,and improves user experience.(4)This paper designs an experimental platform based on the two-layer wireless sensor network model,aiming to design and implement the method in this paper.The specific design of the experimental platform is as follows: use Raspberry Pi 2b+,temperature and humidity sensors,and light intensity sensors to build perception nodes,use NVIDIA JSONT TX2 edge computing platform to build storage nodes,and use Ubuntu virtual machine to design applications to simulate sink nodes.(5)In terms of experiments,firstly,the LDRQ and CSRQ methods are implemented on the experimental platform,and then the method in this paper is compared with the LDRQ and CSRQ methods in the three aspects of sensory node energy consumption,range query efficiency and query calculation efficiency.The experimental results show that The method in this paper has certain advantages in sensing node energy consumption and range query efficiency,and has obvious advantages in query calculation efficiency.