8th International Conference on Communications and Networking in China

Research Article

Analyzing the Performance of Localization Algorithms in Underwater Sensor Networks

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694647,
        author={Guangjie Han and Jun Xia and Jia Cao and Tongqing Liu and Lei Shu},
        title={Analyzing the Performance of Localization Algorithms in Underwater Sensor Networks},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={uwsns; localization algorithms; trust value; localization performance},
        doi={10.1109/ChinaCom.2013.6694647}
    }
    
  • Guangjie Han
    Jun Xia
    Jia Cao
    Tongqing Liu
    Lei Shu
    Year: 2013
    Analyzing the Performance of Localization Algorithms in Underwater Sensor Networks
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694647
Guangjie Han1, Jun Xia1, Jia Cao1, Tongqing Liu1, Lei Shu2,*
  • 1: Hohai University, China
  • 2: Guangdong University of Petrochemical Technology, China
*Contact email: lei.shu@lab.gdupt.edu.cn

Abstract

Under the background of the Age of Big Ocean, much emphasis have been paid on the marine development and utilization of the ocean. So the Underwater Wireless Networks (UWSNs) have been attracted much attention in the industrial community and the academic community. In this paper, we compare the performance of three localization algorithms: the DV-Hop, the 3D-RPE and the LSL which are suitable for many applications in the large scale UWSNs. The simulation results indicate that the average error and the average energy consumption of the DV-Hop are greater than those of the 3D-RPE and the LSL. In addition, the localization rate of the DV-Hop is affected by the trust value easily and only when the trust value is quite low, the localization rate can meet the requirement. In the same situation, the localization rate and the energy consumption of the 3D-RPE and the LSL are quite similar, while the average error of the LSL is smaller than that of the 3D-RPE.