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Efficient Data Collection in Sensor-Cloud System with Multiple Mobile Sinks

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Advances in Services Computing (APSCC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10065))

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Abstract

Cloud computing extends the data processing ability and storage ability of wireless sensor networks (WSNs). However, due to the weak communication ability of WSNs, how to upload the sensed data to the Cloud within the limited time becomes a bottleneck of sensor-cloud system. To solve this problem, we propose to use multiple mobile sinks to help with data uploading from WSNs to Cloud. An efficient algorithm is designed to schedule the multiple mobile sinks, with several provable properties. We conduct extensive simulations to evaluate the performance of proposed algorithm. The results show that our algorithm can upload the data from WSNs to Cloud within the limited latency and minimize the energy consumption as well.

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Acknowledgments

Above work was supported in part by grants from the National Natural Science Foundation (NSF) of China under Grant Nos. 61572206 and the Natural Science Foundation of Fujian Province of China (Nos. 2014J01240 and 2016J01302) and Information Technology Integration and Innovation Alliance of Internet and Industry Pilot Project: Internet+ Distributed Photovoltaic Power Generation Monitoring and Operation Platform and the Foster Project for Graduate Student in Research and Innovation of Huaqiao University (No. 1511414005).

Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China

    Yang Li & Tian Wang

  2. School of Computer Science and Educational Software, Guangzhou University, Guangzhou, 510006, China

    Guojun Wang

  3. School of Computer and Electronics Information, Guangxi University, Nanning, 530004, China

    Junbin Liang

  4. Shijiazhuang Kelin Electric Co., Ltd., Shijiazhuang, 050000, China

    Hongyu Chen

Authors
  1. Yang Li
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  2. Tian Wang
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  3. Guojun Wang
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  4. Junbin Liang
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  5. Hongyu Chen
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Corresponding author

Correspondence to Tian Wang .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. North China University of Technology, Beijing, China

    Yanbo Han

  3. University of Murcia, Murcia, Spain

    Gregorio Martínez Pérez

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© 2016 Springer International Publishing AG

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Li, Y., Wang, T., Wang, G., Liang, J., Chen, H. (2016). Efficient Data Collection in Sensor-Cloud System with Multiple Mobile Sinks. In: Wang, G., Han, Y., Martínez Pérez, G. (eds) Advances in Services Computing. APSCC 2016. Lecture Notes in Computer Science(), vol 10065. Springer, Cham. https://doi.org/10.1007/978-3-319-49178-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-49178-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49177-6

  • Online ISBN: 978-3-319-49178-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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