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Energy Consumption of Polar Codes for Wireless Sensor Networks

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Wireless Internet (WiCON 2017)

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Abstract

Internet of Things (IoT) is becoming a strong force driving the evolution of mobile communications. Wireless sensor networks (WSN) are important parts of IoT. Link reliability and power consumption are two critical design constraints in WSN designs. Error control coding (ECC) is a classic approach to increase link reliability and thus to lower the required transmitting power, however typically at the cost of an increased decoding complexity and power. The idea of this paper is to assess the potentials of applying polar codes to WSNs. For comparison, the well developed Turbo and LDPC codes are studied in terms of the error performance and the power consumption. The results in this paper show that when the ratio of the transmitting power over the decoding power is smaller than 2.5, applying polar codes is favorable in terms of the power consumption compared with Turbo and LDPC codes at the same BER performance. When this ratio is larger than 2.5, polar codes are almost the same as Turbo and LDPC codes in terms of the energy consumption.

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Acknowledgement

This work was supported in part by National Natural Science Foundation of China through grant 61501002, in part by Natural Science Project of Ministry of Education of Anhui through grant KJ2015A102, in part by the Key Laboratory Project of the Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education of China, Anhui University, in part by Talents Recruitment Program of Anhui University.

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Correspondence to Liping Li .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, L., Wang, Q., Hu, Y., Zhang, C. (2018). Energy Consumption of Polar Codes for Wireless Sensor Networks. In: Li, C., Mao, S. (eds) Wireless Internet. WiCON 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-319-90802-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-90802-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90801-4

  • Online ISBN: 978-3-319-90802-1

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