{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T00:32:18Z","timestamp":1761611538084,"version":"build-2065373602"},"reference-count":22,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T00:00:00Z","timestamp":1628294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2017PF009"],"award-info":[{"award-number":["ZR2017PF009"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The DV-Hop algorithm is widely used because of its simplicity and low cost, but it has the disadvantage of a large positioning error. In recent years, although some improvement measures have been proposed, such as hop correction, distance-weighted correction, and improved coordinate solution, there is room for improvement in location accuracy, and the accuracy is affected in anisotropic networks. A location algorithm based on beacon filtering combining DV-Hop and multidimensional support vector regression (MSVR) is proposed in this paper. In the process of estimating the coordinates of unknown nodes, received signal strength indication (RSSI), MSVR, and weighted least squares method are combined. In addition, the verification error of beacon nodes is proposed, which can select the beacon nodes with smaller errors to reduce the location error. Simulation results show that in different distributions, the location accuracy of the proposed algorithm is at least 34% higher than that of the classical DV-Hop algorithm and at least 28% higher than that of the localization based on multidimensional support vector regression (LMSVR) algorithm. The proposed algorithm has the potential of application in small-scale anisotropic networks.<\/jats:p>","DOI":"10.3390\/s21165335","type":"journal-article","created":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T21:35:40Z","timestamp":1628458540000},"page":"5335","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Research on Location Algorithm Based on Beacon Filtering Combining DV-Hop and Multidimensional Support Vector Regression"],"prefix":"10.3390","volume":"21","author":[{"given":"Dejing","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264209, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangcheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264209, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengfeng","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264209, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,7]]},"reference":[{"key":"ref_1","unstructured":"Wen, W. (2019). Research on Node Localization Algorithm in Anisotropic Wireless Sensor Networks. [Master\u2019s Thesis, Tianjin University of Technology]."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2220","DOI":"10.1109\/COMST.2016.2544751","article-title":"A survey on mobile anchor node assisted localization in wireless sensor networks","volume":"18","author":"Guangjie","year":"2016","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_3","unstructured":"Xiumei, C., Kexin, H., Fangjuan, Z., Wei, L., Yiran, L., and Zichao, Z. (2019, January 6\u20139). Research on node location technology based on improved particle swarm optimization. Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence, Xiamen, China."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Qi, Q., and Linghua, Z. (2019, January 19\u201321). An efficient localization algorithm for wireless sensor networks. Proceedings of the 2019 International Conference on Communication and Information Systems, Wuhan, China.","DOI":"10.1109\/ICCIS49662.2019.00021"},{"key":"ref_5","unstructured":"Pingzhang, G., Fengzhen, L., Xiuhong, H., and Xiangdong, J. (2018, January 26\u201327). An improved DV-HOP localization algorithm based on high-precision in WSN. Proceedings of the 2018 International Conference on Robots & Intelligent System, Changsha, China."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Dalong, X. (2019). Research of localization algorithm for wireless sensor network based on DV-Hop. J. Wirel. Commun. Netw., 1\u20138.","DOI":"10.1186\/s13638-019-1539-5"},{"key":"ref_7","unstructured":"Qing, T., and Jian, W. (2017, January 14\u201316). An improved DV-hop localization algorithm for wireless sensor network based on TDOA quantization. Proceedings of the 2017 International Conference on Network and Information Systems for Computers, Shanghai, China."},{"key":"ref_8","unstructured":"Yaping, H., and Linghua, Z. (2019, January 14\u201317). Weighted DV-hop localization algorithm for wireless sensor network based on differential evolution algorithm. Proceedings of the 2019 IEEE International Conference on Information and Computer Technologies, Kahului, HI, USA."},{"key":"ref_9","unstructured":"Liu, Y., and Yaming, Z. (2016, January 4\u20136). A better range-free localization algorithm in wireless sensor networks. Proceedings of the 2016 International Symposium on Computer, Consumer and Control, Xi\u2019an, China."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Khelifi, F., Bradai, A., Benslimane, A., Kaddachi, M.L., and Atri, M. (2017, January 4\u20138). Energy-saving performance of an improved DV-hop localization algorithm for wireless sensor networks. Proceedings of the 2017 IEEE Global Communications Conference, Singapore.","DOI":"10.1109\/GLOCOM.2017.8254471"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1049\/cje.2019.03.013","article-title":"On improved DV-hop localization algorithm for accurate node localization in wireless sensor networks","volume":"28","author":"Shikai","year":"2019","journal-title":"Chin. J. Electron."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"200","DOI":"10.23919\/JCC.2019.06.016","article-title":"An improved DV-Hop localization algorithm based on hop distances correction","volume":"16","author":"Guiqi","year":"2019","journal-title":"China Commun."},{"key":"ref_13","unstructured":"Hui, W., and Linghua, Z. (2018, January 28\u201330). An improved simulated annealing localization algorithm for WSN. Proceedings of the 2018 IEEE International Conference on Communication and Information Systems (ICCIS), Singapore."},{"key":"ref_14","unstructured":"Youjun, Y., and Lanting, D. (2017, January 6\u20139). Study on DV-hop node location algorithm for wireless sensor networks. Proceedings of the 2017 IEEE International Conference on Mechatronics and Automation, Takamatsu, Japan."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1099","DOI":"10.1109\/TNNLS.2013.2250996","article-title":"Novel range-free localization based on multidimensional support vector regression trained in the primal space","volume":"24","author":"Jaehun","year":"2013","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"442","DOI":"10.3103\/S0146411617060104","article-title":"An anisotropic-tolerant and error control localization algorithm in wireless sensor network","volume":"51","author":"Jiandong","year":"2017","journal-title":"Autom. Control Comput. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"6221","DOI":"10.1007\/s11277-017-4835-6","article-title":"MSVR based range-free localization technique for 3-D sensor networks","volume":"97","author":"Anand","year":"2017","journal-title":"Wirel. Pers. Commun."},{"key":"ref_18","unstructured":"Paria, M., Shahla, M.F., Ghanbar, A., and Mohammad, A.T. (May, January 30). Location estimation of sensor nodes in 3-d wireless sensor networks based on multidimensional support vector regression. Proceedings of the 27th Iranian Conference on Electrical Engineering (ICEE), Yazd, Iran."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/JCN.2019.000005","article-title":"Coverage Protocols for Wireless Sensor Networks: Review and Future Directions","volume":"21","author":"Elhabyan","year":"2019","journal-title":"J. Commun. Netw."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1023\/A:1023403323460","article-title":"DV based positioning in ad hoc networks","volume":"22","author":"Niculescu","year":"2003","journal-title":"Telecommun. Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1023\/A:1009715923555","article-title":"A Tutorial on support vector machines for pattern recognition","volume":"2","author":"Christopher","year":"1998","journal-title":"Data Min. Knowl. Discov."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Jie, L., Tianzheng, W., Hua, Y., and Fan, H. (2017, January 14\u201317). Location mechanism for wireless sensor networks in Mine. Proceedings of the 2017 International Conference on Electrical Materials and Power Equipment, Xi\u2019an, China.","DOI":"10.1109\/ICEMPE.2017.7982107"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/16\/5335\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:42:06Z","timestamp":1760164926000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/16\/5335"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,7]]},"references-count":22,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["s21165335"],"URL":"https:\/\/doi.org\/10.3390\/s21165335","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2021,8,7]]}}}