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A Bit Error Rate Optimization Method for WSN Node Energy Consumption

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Cognitive Cities (IC3 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1227))

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Abstract

In order to reduce the energy consumption of nodes and prolong the lifetime of indoor wireless sensor network nodes, it is necessary to establish an optimal bit error rate model under multiple indoor influencing factors so as to maximize the efficiency of receiving and receiving signals. Based on the researching of relationship between indoor factors such as wall and floor reflection, obstacle shadow fading, channel error rate and energy consumption of node signal transceiver and receiver, the energy consumption model of node single frame transmission is given, it is also proved that there exists an optimal bit error rate to minimize the energy consumption of nodes under the condition of co-channel coding. Finally, the simulation experiments are carried out to further analyze and verify the energy consumption of node. The results show that even if the indoor signal interference factors are complex, the minimum energy consumption of receiving and receiving nodes can be found by optimizing the bit error rate adjustment, which shows that the optimization model has engineering application value.

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Correspondence to Miao He .

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He, M., Cheng, Ss., Ma, Ty., Lv, S. (2020). A Bit Error Rate Optimization Method for WSN Node Energy Consumption. In: Shen, J., Chang, YC., Su, YS., Ogata, H. (eds) Cognitive Cities. IC3 2019. Communications in Computer and Information Science, vol 1227. Springer, Singapore. https://doi.org/10.1007/978-981-15-6113-9_10

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  • DOI: https://doi.org/10.1007/978-981-15-6113-9_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6112-2

  • Online ISBN: 978-981-15-6113-9

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