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Data Aggregation in 6LoWPAN

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Advances in Wireless Sensor Networks (CWSN 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 501))

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Abstract

Traditional CSMA/CA in MAC layer causes transmission control and time cost on listening and competing for channels. And the header of IPv6 packet in 6LoWPAN is usually larger than the data in it, which leads to low efficient channels. To overcome these shortages, in this paper, we proposed a novel data aggregation model. By adding a data aggregation model to 6LoWPAN stack, we aggregated data from the network layer according to the MAC layer queuing delay. When the queuing delay is larger, more packets could be dynamically aggregated into one packet to increase the proportion of application data. When the queuing delay is smaller, the amount of packets involved in aggregation will decrease to improve channels utilization. The proposed model can improve transmission performance and enhance the efficiency of channel utilization and data transformation. Simulation results show that our approach could provide better real-time guarantees, and reduce data amount and energy consumption efficiently.

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Acknowledgments

This work was partially supported by National Key Technology R&D Program(2012BAD35B06); Program for New Century Excellent Talents in University (NCET-12-0164); National Natural Science Foundation of China (61370094); Natural Science Foundation of Hunan (13JJ1014).

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Authors and Affiliations

  1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, Hunan, China

    Juan Luo, Jinyu Hu & Yu Liu

  2. Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China

    Yuxi Zhang

Authors
  1. Juan Luo
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  2. Jinyu Hu
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  3. Yuxi Zhang
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  4. Yu Liu
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Corresponding author

Correspondence to Juan Luo .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Limin Sun

  2. Beijing, China

    Huadong Ma

  3. Northwest University, Xi’an, China

    Dingyi Fang

  4. Northwest University, Xi’an, China

    Jinping Niu

  5. Northwest University, Xi’an, China

    Wei Wang

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Luo, J., Hu, J., Zhang, Y., Liu, Y. (2015). Data Aggregation in 6LoWPAN. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_50

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  • DOI: https://doi.org/10.1007/978-3-662-46981-1_50

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46980-4

  • Online ISBN: 978-3-662-46981-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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