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A Location Prediction Based Data Gathering Protocol for Wireless Sensor Networks Using a Mobile Sink

  • Chuan Zhu
  • Yao Wang
  • Guangjie Han
  • Joel J. P. C. Rodrigues
  • Hui Guo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8629)

Abstract

Traditional data gathering protocols in wireless sensor networks are mainly based on static sink, and data are routed in a multi-hop manner towards sink. In this paper, we proposed a location predictable data gathering protocol with a mobile sink. A sink’s location prediction principle based on loose time synchronization is introduced. By calculating the mobile sink location information, every source node in the network is able to route data packets timely to the mobile sink through multi-hop relay. This study also suggests a dwelling time dynamic adjustment method, which takes the situation that different areas may generate different amount of data into account, resulting in a balanced energy consumption among nodes. Simulation results show that our data gathering protocol enables data routing with less data transmitting time delay and balance energy consumption among nodes.

Keywords

Location prediction Data gathering Mobile sink Wireless sensor networks 

Notes

Acknowledgement

The work is supported by the Science & Technology Pillar Program of Changzhou (Social Development), NO.CE20135052 and Jiangsu Province Ordinary University Graduate Innovation Project, NO.CXLX13_227. Part of this work is supported by the Instituto de Telecomunicações, Next Generation Networks and Applications Group (NetGNA), Portugal, and by National Funding from the FCT – Fundação para a Ciência e a Tecnologia through the PEst-OE/EEI/LA0008/2013 Project.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Chuan Zhu
    • 1
    • 2
  • Yao Wang
    • 1
  • Guangjie Han
    • 1
    • 2
    • 3
  • Joel J. P. C. Rodrigues
    • 4
  • Hui Guo
    • 1
  1. 1.College of Internet of Things EngineeringHohai UniversityChangzhouChina
  2. 2.Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault DiagnosisGuangdong University of Petrochemical TechnologyMaomingChina
  3. 3.Changzhou Key Laboratory of Photovoltaic System Integration and Production Equipment TechnologyChangzhouChina
  4. 4.Instituto de TelecomunicaçõesUniversity of Beira InteriorCovilhãPortugal

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