Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings

Research Article

Impact of Irregular Radio and Faulty Nodes on Localization in Industrial WSNs

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  • @INPROCEEDINGS{10.1007/978-3-319-72998-5_5,
        author={Xiaoman Ran and Lei Shu and Mithun Mukherjee and Yuntao Wu and Yuanfang Chen and Zhihong Sun},
        title={Impact of Irregular Radio and Faulty Nodes on Localization in Industrial WSNs},
        proceedings={Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings},
        proceedings_a={WICON},
        year={2018},
        month={1},
        keywords={Industrial wireless sensor networks Localization Irregular radio Faulty nodes},
        doi={10.1007/978-3-319-72998-5_5}
    }
    
  • Xiaoman Ran
    Lei Shu
    Mithun Mukherjee
    Yuntao Wu
    Yuanfang Chen
    Zhihong Sun
    Year: 2018
    Impact of Irregular Radio and Faulty Nodes on Localization in Industrial WSNs
    WICON
    Springer
    DOI: 10.1007/978-3-319-72998-5_5
Xiaoman Ran,*, Lei Shu,*, Mithun Mukherjee1,*, Yuntao Wu2,*, Yuanfang Chen1,*, Zhihong Sun,*
  • 1: Guangdong University of Petrochemical Technology
  • 2: Wuhan Institute of Technology
*Contact email: xiaoman.Ran@outlook.com, lei.shu@ieee.org, m.mukherjee@ieee.org, ytwu@sina.com, yuanfang_chen@ieee.org, zhihong.sun2016@outlook.com

Abstract

Location information of nodes is one of the basis for many applications in Wireless Sensor Networks (WSNs). In this paper, based on the implementation of the original DV-Hop localization algorithm and two variations: DV-Hop with Correction (CDV-Hop) and Improved DV-Hop (IDV-Hop), we investigate the impact of Irregular Radio and Faulty Nodes on the performance of localization. This study designs a new system model by considering Irregular Radio and random Faulty Nodes. With this new model, extensive experiments are used to conduct the investigation. From the simulation results, it is observed that both Irregular Radio and Faulty Nodes adversely affect the localization accuracy. By this investigation, the obtained conclusion can be used to direct localization algorithm design under a more realistic scenario and providing better parameter configuration for a given WSN.