The Journal of Supercomputing

, Volume 70, Issue 3, pp 1142–1155 | Cite as

UAV-assisted data gathering in wireless sensor networks

  • Mianxiong DongEmail author
  • Kaoru Ota
  • Man Lin
  • Zunyi Tang
  • Suguo Du
  • Haojin Zhu


An unmanned aerial vehicle (UAV) is a promising carriage for data gathering in wireless sensor networks since it has sufficient as well as efficient resources both in terms of time and energy due to its direct communication between the UAV and sensor nodes. On the other hand, to realize the data gathering system with UAV in wireless sensor networks, there are still some challenging issues remain such that the highly affected problem by the speed of UAVs and network density, also the heavy conflicts if a lot of sensor nodes concurrently send its own data to the UAV. To solve those problems, we propose a new data gathering algorithm, leveraging both the UAV and mobile agents (MAs) to autonomously collect and process data in wireless sensor networks. Specifically, the UAV dispatches MAs to the network and every MA is responsible for collecting and processing the data from sensor nodes in an area of the network by traveling around that area. The UAV gets desired information via MAs with aggregated sensory data. In this paper, we design a itinerary of MA migration with considering the network density. Simulation results demonstrate that our proposed method is time- and energy-efficient for any density of the network.


Unmanned aerial vehicle (UAV) Wireless sensor networks  Data gathering Mobile agents 



This work is partially supported by JSPS KAKENHI Grant Number 25880002, JSPS A3 Foresight Program, NEC C&C Foundation, National Science Foundation of China (Grant No. 70971086, 61003218, 61272444, 61161140320, 61033014, 71061005), Doctoral Fund of Ministry of Education of China (Grant No. 20100073120065) and Sino-Japan project (ZR2012-03) sponsored by The State Key Lab of Integrated Services Networks, Xidian University, China. The main part of this work was done when Mianxiong Dong was with The University of Aizu, Japan.


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Mianxiong Dong
    • 1
    • 2
    Email author
  • Kaoru Ota
    • 2
    • 3
  • Man Lin
    • 4
  • Zunyi Tang
    • 5
  • Suguo Du
    • 6
  • Haojin Zhu
    • 6
  1. 1.National Institute of Information and Communications TechnologyKyotoJapan
  2. 2.The State Key Lab of Integrated Services NetworksXidian UniversityXi’anChina
  3. 3.Muroran Institute of TechnologyMuroranJapan
  4. 4.St. Francis Xavier UniversityAntigonishCanada
  5. 5.Osaka Electro-Communication UniversityNeyagawaJapan
  6. 6.Shanghai Jiao Tong UniversityShanghaiChina

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