An improved Cuckoo search localization algorithm for UWB sensor networks
Conventional Cuckoo search (CS) localization method can obtain good positioning results that are highly accurate and robust. However, its positioning performance is constrained by the limited distance information available between the unknown node and the anchor node. In order to further enhance the...
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| Published in | Wireless networks Vol. 27; no. 1; pp. 527 - 535 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.01.2021
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1022-0038 1572-8196 |
| DOI | 10.1007/s11276-020-02465-2 |
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| Abstract | Conventional Cuckoo search (CS) localization method can obtain good positioning results that are highly accurate and robust. However, its positioning performance is constrained by the limited distance information available between the unknown node and the anchor node. In order to further enhance the positioning accuracy of the CS method, an improved CS localization algorithm is proposed that can take advantage of all of the distance information available. In the positioning process, an objective function which contains the distance information among the unknown nodes is given. Firstly, we use this distance information between the anchor node and the unknown node to determine an initial position through the conventional CS method. Then, based on the initial position, all of the distance information available is used to compute a more precise position. The simulation results demonstrate that the proposed algorithm can enhance the positioning accuracy in comparison with the conventional CS algorithm. |
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| AbstractList | Conventional Cuckoo search (CS) localization method can obtain good positioning results that are highly accurate and robust. However, its positioning performance is constrained by the limited distance information available between the unknown node and the anchor node. In order to further enhance the positioning accuracy of the CS method, an improved CS localization algorithm is proposed that can take advantage of all of the distance information available. In the positioning process, an objective function which contains the distance information among the unknown nodes is given. Firstly, we use this distance information between the anchor node and the unknown node to determine an initial position through the conventional CS method. Then, based on the initial position, all of the distance information available is used to compute a more precise position. The simulation results demonstrate that the proposed algorithm can enhance the positioning accuracy in comparison with the conventional CS algorithm. |
| Author | Ding, Tian Qin, Xiaofeng Zhao, Lei Xia, Bin |
| Author_xml | – sequence: 1 givenname: Xiaofeng surname: Qin fullname: Qin, Xiaofeng organization: School of Computer Science and Technology, Shandong University of Technology – sequence: 2 givenname: Bin orcidid: 0000-0003-4117-5117 surname: Xia fullname: Xia, Bin email: xiabin@sdut.edu.cn organization: School of Computer Science and Technology, Shandong University of Technology – sequence: 3 givenname: Tian surname: Ding fullname: Ding, Tian organization: School of Computer Science and Technology, Shandong University of Technology – sequence: 4 givenname: Lei surname: Zhao fullname: Zhao, Lei organization: School of Computer Science and Technology, Shandong University of Technology |
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| CitedBy_id | crossref_primary_10_1007_s11227_022_04341_6 crossref_primary_10_1007_s11036_022_02026_1 crossref_primary_10_1007_s11227_022_04320_x crossref_primary_10_3934_era_2024296 crossref_primary_10_1155_2022_3398071 crossref_primary_10_1007_s11276_023_03634_9 crossref_primary_10_3390_su142013670 crossref_primary_10_1007_s11277_024_11402_x crossref_primary_10_1016_j_adhoc_2023_103123 crossref_primary_10_1007_s11277_024_11175_3 |
| Cites_doi | 10.1109/ACCESS.2019.2920279 10.3390/s16091390 10.1007/978-3-319-91146-5_11 10.1007/978-3-642-17994-5_32 10.1109/TMTT.2004.834184 10.1007/978-3-030-14350-3_10 10.1007/s12204-018-1952-7 10.1007/s11277-019-06507-7 10.1109/TASE.2006.877401 10.1007/s12668-016-0384-9 10.1109/ACCESS.2017.2713802 10.1007/s11276-015-1158-y 10.1007/s11277-014-1850-8 10.1504/IJMMNO.2010.035430 10.23919/ChiCC.2017.8027742 10.1109/ICASSP.2012.6288267 10.1007/s11277-019-06821-0 10.1109/MILCOM.2013.290 10.1109/CITS.2019.8862139 10.1109/COMPEM.2018.8496471 10.1186/s13638-017-0990-4 10.1109/IAEAC.2017.8054521 10.1109/ACTEA.2019.8851085 10.1109/MedCom.2014.7006019 |
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| Keywords | Localization algorithm Cuckoo search Non line of sight |
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| Title | An improved Cuckoo search localization algorithm for UWB sensor networks |
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