TY - GEN
T1 - Simulation and Research of DV-Hop Algorithm Based on Wireless Sensor Network
AU - Hu, Jinwen
AU - Xu, Ameng
AU - Zhao, Chunhui
AU - Pan, Quan
AU - Cheng, Lan
AU - Sun, Kaixuan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - The technology of, up to the present day, the infinite sensor network has been developed more and more comprehensive. It has not only the ability of sensor to sense the external information, the feature of network information sharing and information fusion but also it can replace the human's five senses to feel collection of data from places where humans can't reach. It is more convenient for human beings to understand the world and change the world. There is no doubt that the position of the sensor is important. This paper based on the classical DV-Hop localization algorithm to improve the classical DV-Hop localization algorithm by reading the research results and papers at home and abroad. It absorbs the idea of the sum of mathematical averages. The positioning accuracy of the algorithm is mainly improved.
AB - The technology of, up to the present day, the infinite sensor network has been developed more and more comprehensive. It has not only the ability of sensor to sense the external information, the feature of network information sharing and information fusion but also it can replace the human's five senses to feel collection of data from places where humans can't reach. It is more convenient for human beings to understand the world and change the world. There is no doubt that the position of the sensor is important. This paper based on the classical DV-Hop localization algorithm to improve the classical DV-Hop localization algorithm by reading the research results and papers at home and abroad. It absorbs the idea of the sum of mathematical averages. The positioning accuracy of the algorithm is mainly improved.
KW - Average
KW - Classical DV-Hop localization algorithm
KW - Wireless Sensor Network
UR - http://www.scopus.com/inward/record.url?scp=85080941294&partnerID=8YFLogxK
U2 - 10.1109/ICUS48101.2019.8995988
DO - 10.1109/ICUS48101.2019.8995988
M3 - 会议稿件
AN - SCOPUS:85080941294
T3 - Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
SP - 920
EP - 924
BT - Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
Y2 - 17 October 2019 through 19 October 2019
ER -