Abstract
In wireless data transmissions processes, the problem of packet loss become an important factor that affects the robustness of wireless data transmission. In order to solve the problem, the compressive sensing (CS) based wireless data transmission approach is proposed in this paper. The specific steps that use the CS approach to reconstruct lost data are as follows: The first step is to encode the original data in a random sampling matrix. Then the original data and the encoded data are sent to the receiving side through the wireless transmission. After the data is received, if there are packets lost, it can be reconstructed by CS approach. The reconstructed data are able to compensate for the incomplete original data in a certain range. In this paper, a wireless sensor network (WSN) based on Wi-Fi is developed for verifying the effectiveness and feasibility of the CS approach. The WSN consists of small nodes with sensors, base stations, PC client. Experimental results show that the wireless sensor network is working properly and steady. Moreover, the CS approach could compensate for the packet loss effectively, and increase the robustness and the speed of wireless transmission greatly.
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