High energy efficient wireless sensor network data transmission method based on space-time compression network coding

Abstract

The invention discloses a high energy efficient wireless sensor network data transmission method based on space-time compression network coding, mainly used for solving the high energy consumption problem of data collection in a wireless sensor network, and improving the accuracy of data recovery. In the method, based on the combination of network coding and compressed sensing, the best next hop candidate node is selected by using binary-hop neighbor information, the redundant transmission of data is avoided, and the energy consumption is reduced; meanwhile, a KSVD thought is used, the best time observation matrix is acquired by training a time sparse dictionary, so that better data sparsification is achieved, and thus the accuracy of data recovery is improved. According to the method provided by the invention, the data transmission amount can be significantly reduced, the energy consumption can be reduced, and the accuracy of data reconstruction at the aggregation node can be improved, so that the method is applicable to the large-scale densely distributed wireless sensor networks.

Description

technical field [0001] The invention relates to an energy-efficient wireless sensor network data transmission method based on time-space compression network coding, and belongs to the technical field of wireless communication. Background technique [0002] In recent years, wireless sensor networks (WSNs) have received tremendous research attention in many applications such as military reconnaissance, environmental monitoring, security systems, and industrial automation. However, at present, sensor devices are generally powered by batteries, and the place where the wireless sensor network is deployed is generally inconvenient to reach. Once the battery of the sensor device is exhausted, it means the death of the network node, causing the decline or even loss of the sensor network function. Therefore, energy has become a bottleneck problem restricting wireless sensor networks. In wireless sensor networks, the energy consumption of sensor nodes is mainly concentrated in the wi...

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Problems solved by technology

However, the energy efficiency of this method is low and further improvement is needed

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