Abstract
In the field of artificial intelligence-related computing, as an important part of the Internet of Things, WSN (Wireless Sensor Network) is a data-centered network. As WSN generally adopts digital communication system, there are problems such as limited sampling rate, low data encoding efficiency and low spectrum efficiency. The project team plans to combine multiple LDPC code with OVCDM system to conduct an in-depth study on WSN node data coding. The research idea is to use multiple LDPC codes combined with OVCDM under the premise of source coding and channel coding to improve the error-correction performance and greatly improve the coding efficiency and spectral efficiency. The specific method is to establish the WSN data encoding and decoding system model, and study the bit error rate and signal-to-noise ratio of data encoding under different fading channels when different processing methods are used, in order to study the improvement effect of data encoding index.
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Acknowledgments
This work was supported by the Special Funding Project of China Postdoctoral Science Foundation (Grants No. 2014T70967); Natural Science Research Key Project of Anhui Province Higher School (Grants No. KJ2017A630); Key Construction Discipline Project at College Level of Anhui Xinhua University (Grants No. zdxk201702); Institute Project at College Level of Anhui Xinhua University (Grants No. yjs201706); the Ninth Batch of Young and Middle-aged “Academic Leaders” Training Objects Project of Anhui Xinhua University (Grants No. 2018xxk14).
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Fan, Z., Hong, Z. (2021). Multiple LDPC Code Combined with OVCDM to Improve Signal Coding Efficiency and Signal Transmission Effects. In: Ahram, T.Z., Karwowski, W., Kalra, J. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-80624-8_46
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DOI: https://doi.org/10.1007/978-3-030-80624-8_46
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