Research on Data Compression Algorithm Using Wavelet in Asynchronous Wireless Sensor Networks
|Course||Applied Computer Technology|
|Keywords||Wireless sensor networks Asynchronous communication Wavelet Transform Data compression Simulation system|
Wireless sensor networks have broad application prospects in the field of military and civilian, is a very active area of ??research. Different from traditional networks, wireless sensor networks with very limited resources, and how to save communication energy consumption and to ensure the reliability of the data collection as its main task to collect the relevant information within the monitoring area, researchers need to address the important issues. Medium access control protocol is the basis of the node communication, to alleviate wireless conflict from the ground up, and as soon as possible to remove redundant, has great significance for reducing the energy consumption of network communication. Data compression energy is also an important method. This article from the MAC protocol for asynchronous communication mode and wavelet data compression based on this MAC protocol study, the main work is as follows: First, the feasibility of a low-power asynchronous communication module hardware architecture was proposed based on an asynchronous communication mode. Asynchronous mode the potential for sensor network protocol layers and the overall performance of a periodic wake / sleep, the local clock synchronization, interactive confirmation ACK mechanism asynchronous MAC protocol. Which, according to the sensor network data and network requirements, design order to wake up and staggered to wake up two different mechanisms. System simulation, the protocol can reduce conflict and invalid channel listener for better energy efficiency. Second, the data collected by the sensor node usually has a multimode correlation. Multimode correlation refers to a correlation between the junction point of collection to the different types of data. Data-based multi-mode design of a wavelet-based adaptive multi-mode data compression algorithm. Under the premise of a given threshold, the algorithm can adaptively data adjusted segment adjusted data using least squares estimation to fit the feature data, and then abstracted into a matrix, and finally removed using wavelet transform The spatial and temporal correlation of the data. Theoretical analysis and simulation results show that the new algorithm can effectively remove the multimode correlation between the data and the same kind of data in space and time, effectively improve the compression ratio, reducing the energy consumption of the network. Third, based on the open source OMNeT framework, designed and developed a simulation platform for asynchronous communication environment VWSN assessment data compression algorithm. VWSN main characteristics of asynchronous communication environment, build from the physical layer to the application layer network protocol stack, provide a common interface between the various layers, suitable for both traditional synchronous wireless sensor networks. Simulation results show that VWSN has good accuracy, can provide effective assessment tools for large-scale wireless sensor network protocol or algorithm.