{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:04:02Z","timestamp":1760241842698,"version":"build-2065373602"},"reference-count":15,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2018,9,30]],"date-time":"2018-09-30T00:00:00Z","timestamp":1538265600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Aiming at optimal placement of wireless sensor network (WSN) nodes of wind turbine blade for health inspection, a weighted centroid artificial fish swarm algorithm (WC-AFSA) is proposed. A weighted centroid algorithm is applied to construct an initial fish population so to enhance the fish diversity and improve the search precision. Adaptive step based on dynamic parameter is used to jump out local optimal solution and improve the convergence speed. Optimal sensor placement is realized by minimizing the maximum off-diagonal elements of the modal assurance criterion as the objective function. Five typical test functions are applied to verify the effectiveness of the algorithm, and optimal placement of WSNs nodes on wind turbine blade is carried out. The results show that WC-AFSA has better optimization effect than AFSA, which can solve the problem of optimal arrangement of blade WSNs nodes.<\/jats:p>","DOI":"10.3390\/a11100147","type":"journal-article","created":{"date-parts":[[2018,10,2]],"date-time":"2018-10-02T08:23:50Z","timestamp":1538468630000},"page":"147","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["WSN Nodes Placement Optimization Based on a Weighted Centroid Artificial Fish Swarm Algorithm"],"prefix":"10.3390","volume":"11","author":[{"given":"Hong","family":"Yin","sequence":"first","affiliation":[{"name":"School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"He","sequence":"additional","affiliation":[{"name":"School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,30]]},"reference":[{"key":"ref_1","first-page":"1726","article-title":"A Novel Method and Its Field Tests for Monitoring and Diagnosing Blade Health for Wind Turbines","volume":"64","author":"Oh","year":"2015","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1177\/1475921707081971","article-title":"A Structural Neural System for Real-time Health Monitoring of Composite Materials","volume":"7","author":"Kirikera","year":"2008","journal-title":"Struct. Health Monit."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2292","DOI":"10.1016\/j.comnet.2008.04.002","article-title":"Wireless sensor network survey","volume":"52","author":"Yick","year":"2008","journal-title":"Comput. Netw."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.jnca.2018.08.012","article-title":"Learning automaton based topology control protocol for extending wireless sensor networks lifetime","volume":"122","author":"Javadi","year":"2018","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.adhoc.2018.05.006","article-title":"Topology control game algorithm based on Markov lifetime prediction model for wireless sensor network","volume":"78","author":"Hao","year":"2018","journal-title":"Ad Hoc Netw."},{"key":"ref_6","unstructured":"Chen, L.D. (2012). Research on Topology Control of Wireless Sensor Networks, Nanjing University of Posts and Telecommunications."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1007\/s11227-016-1785-9","article-title":"P-SEP: A prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks","volume":"73","author":"Naranjo","year":"2017","journal-title":"J. Supercomput."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1007\/s11227-013-1054-0","article-title":"An efficient routing algorithm to preserve k -coverage in wireless sensor networks","volume":"68","author":"Ahmadi","year":"2014","journal-title":"J. Supercomput."},{"key":"ref_9","first-page":"210","article-title":"Self-adaptive improved artificial fish swarm algorithm with changing step","volume":"42","author":"Zhu","year":"2015","journal-title":"Comput. Sci."},{"key":"ref_10","first-page":"32","article-title":"An optimizing method based on autonomous animates: Fish-swarm Algorithm","volume":"11","author":"Li","year":"2002","journal-title":"Syst. Eng. Theory Pract."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Chen, J., Ge, W., and Tao, L. (2010, January 25\u201327). A weighted compensated localization algorithm of nodes in Wireless Sensor Networks. Proceedings of the IEEE International Workshop on Advanced Computational Intelligence, Suzhou, China.","DOI":"10.1109\/IWACI.2010.5585131"},{"key":"ref_12","first-page":"927","article-title":"A Modal Test Design Strategy for Model Correlation","volume":"2460","author":"Carne","year":"1994","journal-title":"Proc. SPIE Int. Soc. Opt. Eng."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"423","DOI":"10.14257\/ijca.2016.9.1.36","article-title":"Chaotic monkey algorithm based optimal sensor placement","volume":"9","author":"Peng","year":"2016","journal-title":"Int. J. Control Autom."},{"key":"ref_14","first-page":"1276","article-title":"An Improved Weighted Centroid Location Algorithm Based on Virtual Static Anchor Nodes","volume":"26","author":"Yu","year":"2013","journal-title":"Chin. J. Sens. Actuators"},{"key":"ref_15","first-page":"1","article-title":"Optimal Layout of Sensors on Wind Turbine Blade Based on Combinational Algorithm","volume":"2016","author":"Gu","year":"2016","journal-title":"Int. J. Distrib. Sens. Netw."}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/11\/10\/147\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:23:20Z","timestamp":1760196200000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/11\/10\/147"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,30]]},"references-count":15,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2018,10]]}},"alternative-id":["a11100147"],"URL":"https:\/\/doi.org\/10.3390\/a11100147","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2018,9,30]]}}}