{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T06:34:11Z","timestamp":1777012451591,"version":"3.51.4"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T00:00:00Z","timestamp":1647216000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T00:00:00Z","timestamp":1647216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Telecommun Syst"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s11235-022-00883-5","type":"journal-article","created":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T03:02:53Z","timestamp":1647226973000},"page":"105-121","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Hybrid algorithm optimization for coverage problem in wireless sensor networks"],"prefix":"10.1007","volume":"80","author":[{"given":"Han-Dong","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shu-Chuan","family":"Chu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"LingPing","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"XiaoPeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V\u00e1clav","family":"Sn\u00e1\u0161el","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong-Bang","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3128-9025","authenticated-orcid":false,"given":"Jeng-Shyang","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,14]]},"reference":[{"issue":"2","key":"883_CR1","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s11235-020-00712-7","volume":"76","author":"A Panchal","year":"2021","unstructured":"Panchal, A., & Singh, R. K. (2021). Ehcr-fcm: energy efficient hierarchical clustering and routing using fuzzy c-means for wireless sensor networks. Telecommunication Systems, 76(2), 251\u2013263.","journal-title":"Telecommunication Systems"},{"issue":"3","key":"883_CR2","doi-asserted-by":"publisher","first-page":"2450","DOI":"10.3390\/s100302450","volume":"10","author":"MK Khan","year":"2010","unstructured":"Khan, M. K., & Alghathbar, K. (2010). Cryptanalysis and security improvements of - two-factor user authentication in wireless sensor networks. Sensors, 10(3), 2450\u20132459.","journal-title":"Sensors"},{"key":"883_CR3","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.adhoc.2014.11.018","volume":"27","author":"S Kumari","year":"2015","unstructured":"Kumari, S., Khan, M. K., & Atiquzzaman, M. (2015). User authentication schemes for wireless sensor networks: a review. Ad Hoc Networks, 27, 159\u2013194.","journal-title":"Ad Hoc Networks"},{"issue":"19","key":"883_CR4","doi-asserted-by":"publisher","first-page":"4112","DOI":"10.3390\/s19194112","volume":"19","author":"N Liu","year":"2019","unstructured":"Liu, N., Pan, J.-S., Wang, J., et al. (2019). An adaptation multi-group quasi-affine transformation evolutionary algorithm for global optimization and its application in node localization in wireless sensor networks. Sensors, 19(19), 4112.","journal-title":"Sensors"},{"issue":"3","key":"883_CR5","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/s11235-020-00659-9","volume":"74","author":"TA Alghamdi","year":"2020","unstructured":"Alghamdi, T. A. (2020). Energy efficient protocol in wireless sensor network: optimized cluster head selection model. Telecommunication Systems, 74(3), 331\u2013345.","journal-title":"Telecommunication Systems"},{"key":"883_CR6","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1007\/s11235-021-00831-9","volume":"78","author":"K Jaiswal","year":"2021","unstructured":"Jaiswal, K., & Anand, V. (2021). A qos aware optimal node deployment in wireless sensor network using grey wolf optimization approach for iot applications. Telecommunication Systems, 78, 559\u2013576.","journal-title":"Telecommunication Systems"},{"key":"883_CR7","doi-asserted-by":"crossref","unstructured":"Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of ICNN\u201995-international conference on neural networks 4 (pp. 1942\u20131948). IEEE","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"2","key":"883_CR8","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s40747-020-00134-7","volume":"6","author":"Q Shufen","year":"2020","unstructured":"Shufen, Q., Chaoli, S., Zhang, G., He, X., & Tan, Y. (2020). A modified particle swarm optimization based on decomposition with different ideal points for many-objective optimization problems. Complex & Intelligent Systems, 6(2), 263\u2013274.","journal-title":"Complex & Intelligent Systems"},{"key":"883_CR9","unstructured":"Pan, J.-S., Tsai, P.-W., & Liao, Y.-B. (2010). Fish migration optimization based on the fishy biology. In 2010 fourth international conference on genetic and evolutionary computing (pp. 783\u2013786). IEEE"},{"key":"883_CR10","doi-asserted-by":"crossref","unstructured":"Song, P.-C., Chu, S.-C., Pan, J.-S., & Yang, H. (2020). Phasmatodea population evolution algorithm and its application in length-changeable incremental extreme learning machine. In 2020 2nd international conference on industrial artificial intelligence (IAI) (pp. 1\u20135). IEEE","DOI":"10.1109\/IAI50351.2020.9262236"},{"key":"883_CR11","doi-asserted-by":"crossref","unstructured":"Chu, S.-C., Tsai, P.-W., & Pan, J.-S. (2006). Cat swarm optimization. In Pacific rim international conference on artificial intelligence (pp. 854\u2013858). Springer","DOI":"10.1007\/978-3-540-36668-3_94"},{"key":"883_CR12","doi-asserted-by":"crossref","unstructured":"Santosa, B., & Ningrum, M.K. (2009). Cat swarm optimization for clustering. In 2009 international conference of soft computing and pattern recognition (pp. 54\u201359). IEEE","DOI":"10.1109\/SoCPaR.2009.23"},{"issue":"6","key":"883_CR13","first-page":"540","volume":"68","author":"L Pappula","year":"2014","unstructured":"Pappula, L., & Ghosh, D. (2014). Linear antenna array synthesis using cat swarm optimization. AEU-International Journal of Electronics and Communications, 68(6), 540\u2013549.","journal-title":"AEU-International Journal of Electronics and Communications"},{"key":"883_CR14","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.knosys.2018.04.034","volume":"155","author":"Z Meng","year":"2018","unstructured":"Meng, Z., & Pan, J.-S. (2018). Quasi-affine transformation evolution with external archive (quatre-ear): an enhanced structure for differential evolution. Knowledge-Based Systems, 155, 35\u201353.","journal-title":"Knowledge-Based Systems"},{"key":"883_CR15","doi-asserted-by":"crossref","first-page":"5591543","DOI":"10.1155\/2021\/5591543","volume":"2021","author":"T-W Sung","year":"2021","unstructured":"Sung, T.-W., Zhao, B., & Zhang, X. (2021). Quasi-affine transformation evolutionary with double excellent guidance. Wireless Communications and Mobile Computing, 2021, 5591543.","journal-title":"Wireless Communications and Mobile Computing"},{"key":"883_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-021-08934-x","author":"E Malathy","year":"2021","unstructured":"Malathy, E., Asaithambi, M., Dheeraj, A., & Arputharaj, K. (2021). Hybrid bird swarm optimized quasi affine algorithm based node location in wireless sensor networks. Wireless Personal Communications. https:\/\/doi.org\/10.1007\/s11277-021-08934-x","journal-title":"Wireless Personal Communications"},{"key":"883_CR17","doi-asserted-by":"crossref","unstructured":"Glover, F., & Laguna, M. (1998). Tabu search. In Handbook of combinatorial optimization (pp. 2093\u20132229). Springer","DOI":"10.1007\/978-1-4613-0303-9_33"},{"issue":"16","key":"883_CR18","doi-asserted-by":"publisher","first-page":"3379","DOI":"10.1016\/j.ins.2011.04.007","volume":"181","author":"H-C Huang","year":"2011","unstructured":"Huang, H.-C., Chu, S.-C., Pan, J.-S., Huang, C.-Y., & Liao, B.-Y. (2011). Tabu search based multi-watermarks embedding algorithm with multiple description coding. Information Sciences, 181(16), 3379\u20133396.","journal-title":"Information Sciences"},{"key":"883_CR19","doi-asserted-by":"crossref","unstructured":"Yang, X.-S., & Deb, S. (2009). Cuckoo search via l\u00e9vy flights. In 2009 world congress on nature & biologically inspired computing (NaBIC) (pp. 210\u2013214). IEEE","DOI":"10.1109\/NABIC.2009.5393690"},{"key":"883_CR20","doi-asserted-by":"publisher","first-page":"106443","DOI":"10.1016\/j.asoc.2020.106443","volume":"94","author":"P-C Song","year":"2020","unstructured":"Song, P.-C., Pan, J.-S., & Chu, S.-C. (2020). A parallel compact cuckoo search algorithm for three-dimensional path planning. Applied Soft Computing, 94, 106443.","journal-title":"Applied Soft Computing"},{"issue":"9","key":"883_CR21","doi-asserted-by":"publisher","first-page":"3349","DOI":"10.1007\/s00500-015-1726-1","volume":"20","author":"G-G Wang","year":"2016","unstructured":"Wang, G.-G., Deb, S., Gandomi, A. H., Zhang, Z., & Alavi, A. H. (2016). Chaotic cuckoo search. Soft Computing, 20(9), 3349\u20133362.","journal-title":"Soft Computing"},{"issue":"3","key":"883_CR22","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s11235-016-0237-4","volume":"65","author":"J-S Pan","year":"2017","unstructured":"Pan, J.-S., Meng, Z., Chu, S.-C., & Xu, H.-R. (2017). Monkey king evolution: an enhanced ebb-tide-fish algorithm for global optimization and its application in vehicle navigation under wireless sensor network environment. Telecommunication Systems, 65(3), 351\u2013364.","journal-title":"Telecommunication Systems"},{"issue":"19","key":"883_CR23","doi-asserted-by":"publisher","DOI":"10.4108\/eai.29-7-2019.163970","volume":"5","author":"DL Balasubramanian","year":"2019","unstructured":"Balasubramanian, D. L., & Govindasamy, V. (2019). Binary monkey-king evolutionary algorithm for single objective target based wsn. EAI Endorsed Transactions on Internet of Things, 5(19), 163970.","journal-title":"EAI Endorsed Transactions on Internet of Things"},{"issue":"1","key":"883_CR24","first-page":"129","volume":"7","author":"T Kalaipriyan","year":"2017","unstructured":"Kalaipriyan, T., Rajaguru, D., Amudhavel, J., Vengattaraman, T., & Sujatha, P. (2017). Monkey king algorithm for solving minimum energy broadcast in wireless sensor network. Advances and Applications in Mathematical Sciences, 7(1), 129\u2013145.","journal-title":"Advances and Applications in Mathematical Sciences"},{"key":"883_CR25","doi-asserted-by":"publisher","first-page":"32018","DOI":"10.1109\/ACCESS.2020.2973411","volume":"8","author":"X Wang","year":"2020","unstructured":"Wang, X., Pan, J.-S., & Chu, S.-C. (2020). A parallel multi-verse optimizer for application in multilevel image segmentation. IEEE Access, 8, 32018\u201332030.","journal-title":"IEEE Access"},{"issue":"2","key":"883_CR26","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/s00521-015-1870-7","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili, S., Mirjalili, S. M., & Hatamlou, A. (2016). Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Computing and Applications, 27(2), 495\u2013513.","journal-title":"Neural Computing and Applications"},{"issue":"4","key":"883_CR27","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1007\/s00521-017-3131-4","volume":"31","author":"A.A Ewees","year":"2019","unstructured":"Ewees, A. .A., Abd El\u00a0Aziz, M., & Hassanien, A. .E. (2019). Chaotic multi-verse optimizer-based feature selection. Neural computing and applications, 31(4), 991\u20131006.","journal-title":"Neural computing and applications"},{"issue":"2","key":"883_CR28","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1504\/IJBIC.2010.032124","volume":"2","author":"X-S Yang","year":"2010","unstructured":"Yang, X.-S. (2010). Firefly algorithm, stochastic test functions and design optimisation. International Journal of Bio-inspired Computation, 2(2), 78\u201384.","journal-title":"International Journal of Bio-inspired Computation"},{"key":"883_CR29","doi-asserted-by":"publisher","first-page":"2855","DOI":"10.1007\/s10115-020-01443-6","volume":"62","author":"X Xue","year":"2020","unstructured":"Xue, X. (2020). A compact firefly algorithm for matching biomedical ontologies. Knowledge and Information Systems, 62, 2855\u20132871.","journal-title":"Knowledge and Information Systems"},{"issue":"2","key":"883_CR30","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1007\/s10462-020-09867-w","volume":"54","author":"S Talatahari","year":"2021","unstructured":"Talatahari, S., & Azizi, M. (2021). Chaos game optimization: a novel metaheuristic algorithm. Artificial Intelligence Review, 54(2), 917\u20131004.","journal-title":"Artificial Intelligence Review"},{"key":"883_CR31","doi-asserted-by":"publisher","first-page":"51582","DOI":"10.1109\/ACCESS.2021.3069939","volume":"9","author":"A Ramadan","year":"2021","unstructured":"Ramadan, A., Kamel, S., Hussein, M. M., & Hassan, M. H. (2021). A new application of chaos game optimization algorithm for parameters extraction of three diode photovoltaic model. IEEE Access, 9, 51582\u201351594.","journal-title":"IEEE Access"},{"issue":"3","key":"883_CR32","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1007\/s10489-020-01893-z","volume":"51","author":"FA Hashim","year":"2021","unstructured":"Hashim, F. A., Hussain, K., Houssein, E. H., Mabrouk, M. S., & Al-Atabany, W. (2021). Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems. Applied Intelligence, 51(3), 1531\u20131551.","journal-title":"Applied Intelligence"},{"key":"883_CR33","doi-asserted-by":"publisher","first-page":"120795","DOI":"10.1109\/ACCESS.2021.3108533","volume":"9","author":"AS Desuky","year":"2021","unstructured":"Desuky, A. S., Hussain, S., Kausar, S., Islam, M. A., & El Bakrawy, L. M. (2021). Eaoa: an enhanced archimedes optimization algorithm for feature selection in classification. IEEE Access, 9, 120795\u2013120814.","journal-title":"IEEE Access"},{"key":"883_CR34","doi-asserted-by":"publisher","first-page":"53883","DOI":"10.1109\/ACCESS.2020.2981196","volume":"8","author":"N Covic","year":"2020","unstructured":"Covic, N., & Lacevic, B. (2020). Wingsuit flying search-a novel global optimization algorithm. IEEE Access, 8, 53883\u201353900.","journal-title":"IEEE Access"},{"key":"883_CR35","doi-asserted-by":"crossref","unstructured":"Du, L., Zhang, Y., Sato, S., Todo, Y., Tang, Z., & Gao, S. (2020). Differential evolution-based wingsuit flying search for optimization. In 2020 13th international symposium on computational intelligence and design (ISCID) (pp. 7\u201312). IEEE","DOI":"10.1109\/ISCID51228.2020.00009"},{"issue":"3","key":"883_CR36","doi-asserted-by":"publisher","first-page":"328","DOI":"10.3390\/e22030328","volume":"22","author":"H.S Naji\u00a0Alwerfali","year":"2020","unstructured":"Naji\u00a0Alwerfali, H. .S., AA\u00a0Al-qaness, M., Abd\u00a0Elaziz, M., Ewees, A. .A., Oliva, D., & Lu, S. (2020). Multi-level image thresholding based on modified spherical search optimizer and fuzzy entropy. Entropy, 22(3), 328.","journal-title":"Entropy"},{"issue":"13","key":"883_CR37","doi-asserted-by":"publisher","first-page":"9777","DOI":"10.1007\/s00521-019-04510-4","volume":"32","author":"J Zhao","year":"2020","unstructured":"Zhao, J., Tang, D., Liu, Z., Cai, Y., & Dong, S. (2020). Spherical search optimizer: a simple yet efficient meta-heuristic approach. Neural Computing and Applications, 32(13), 9777\u20139808.","journal-title":"Neural Computing and Applications"},{"issue":"2","key":"883_CR38","doi-asserted-by":"publisher","first-page":"533","DOI":"10.3934\/jimo.2019122","volume":"17","author":"G Zhou","year":"2021","unstructured":"Zhou, G., Zhou, Y., & Zhao, R. (2021). Hybrid social spider optimization algorithm with differential mutation operator for the job-shop scheduling problem. Journal of Industrial & Management Optimization, 17(2), 533.","journal-title":"Journal of Industrial & Management Optimization"},{"key":"883_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2020.100664","volume":"54","author":"G Zhang","year":"2020","unstructured":"Zhang, G., Hu, Y., Sun, J., & Zhang, W. (2020). An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints. Swarm and Evolutionary Computation, 54, 100664.","journal-title":"Swarm and Evolutionary Computation"},{"issue":"2","key":"883_CR40","doi-asserted-by":"publisher","first-page":"65","DOI":"10.4156\/ijiip.vol1.issue2.7","volume":"1","author":"L Sun","year":"2010","unstructured":"Sun, L., Cheng, X., & Liang, Y. (2010). Solving job shop scheduling problem using genetic algorithm with penalty function. International Journal of Intelligent information processing, 1(2), 65\u201377.","journal-title":"International Journal of Intelligent information processing"},{"key":"883_CR41","doi-asserted-by":"publisher","first-page":"4177","DOI":"10.1007\/s12652-020-01698-5","volume":"11","author":"H ZainEldin","year":"2020","unstructured":"ZainEldin, H., Badawy, M., Elhosseini, M., Arafat, H., & Abraham, A. (2020). An improved dynamic deployment technique based-on genetic algorithm (iddt-ga) for maximizing coverage in wireless sensor networks. Journal of Ambient Intelligence and Humanized Computing, 11, 4177\u20134194.","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"883_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.106994","volume":"167","author":"Y Xiu-Wu","year":"2020","unstructured":"Xiu-Wu, Y., Hao, Y., Yong, L., & Ren-rong, X. (2020). A clustering routing algorithm based on wolf pack algorithm for heterogeneous wireless sensor networks. Computer Networks, 167, 106994.","journal-title":"Computer Networks"},{"key":"883_CR43","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.jnca.2013.07.010","volume":"39","author":"X Liu","year":"2014","unstructured":"Liu, X., & He, D. (2014). Ant colony optimization with greedy migration mechanism for node deployment in wireless sensor networks. Journal of Network and Computer Applications, 39, 310\u2013318.","journal-title":"Journal of Network and Computer Applications"},{"issue":"7","key":"883_CR44","doi-asserted-by":"publisher","first-page":"7873","DOI":"10.1007\/s12652-020-02514-w","volume":"12","author":"F Gul","year":"2021","unstructured":"Gul, F., Rahiman, W., Alhady, S., Ali, A., Mir, I., & Jalil, A. (2021). Meta-heuristic approach for solving multi-objective path planning for autonomous guided robot using pso-gwo optimization algorithm with evolutionary programming. Journal of Ambient Intelligence and Humanized Computing, 12(7), 7873\u20137890.","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"883_CR45","doi-asserted-by":"publisher","first-page":"15569","DOI":"10.1007\/s00521-021-06179-0","volume":"33","author":"F Kiani","year":"2021","unstructured":"Kiani, F., Seyyedabbasi, A., Aliyev, R., Gulle, M. U., Basyildiz, H., & Shah, M. A. (2021). Adapted-rrt: novel hybrid method to solve three-dimensional path planning problem using sampling and metaheuristic-based algorithms. Neural Computing and Applications, 33, 15569\u201315599.","journal-title":"Neural Computing and Applications"},{"issue":"3","key":"883_CR46","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1007\/s10846-013-9884-9","volume":"76","author":"H-C Huang","year":"2014","unstructured":"Huang, H.-C. (2014). Fpga-based parallel metaheuristic pso algorithm and its application to global path planning for autonomous robot navigation. Journal of Intelligent & Robotic Systems, 76(3), 475\u2013488.","journal-title":"Journal of Intelligent & Robotic Systems"},{"key":"883_CR47","doi-asserted-by":"crossref","unstructured":"Luong, D.K., Hu, Y.-F., Li, J.-P., & Ali, M. (2020). Metaheuristic approaches to the joint controller and gateway placement in 5g-satellite sdn networks. In: ICC 2020-2020 IEEE international conference on communications (ICC) (pp. 1\u20136). IEEE","DOI":"10.1109\/ICC40277.2020.9149373"},{"key":"883_CR48","doi-asserted-by":"publisher","first-page":"102986","DOI":"10.1016\/j.jnca.2021.102986","volume":"178","author":"MSA Shuvo","year":"2021","unstructured":"Shuvo, M. S. A., Munna, M. A. R., Sarker, S., Adhikary, T., Razzaque, M. A., Hassan, M. M., Aloi, G., & Fortino, G. (2021). Energy-efficient scheduling of small cells in 5g: a meta-heuristic approach. Journal of Network and Computer Applications, 178, 102986.","journal-title":"Journal of Network and Computer Applications"},{"issue":"11","key":"883_CR49","doi-asserted-by":"publisher","first-page":"1318","DOI":"10.3390\/electronics8111318","volume":"8","author":"H Ganame","year":"2019","unstructured":"Ganame, H., Yingzhuang, L., Ghazzai, H., & Kamissoko, D. (2019). 5g base station deployment perspectives in millimeter wave frequencies using meta-heuristic algorithms. Electronics, 8(11), 1318.","journal-title":"Electronics"},{"key":"883_CR50","unstructured":"Wang, Z., Kung, S.-Y., Zhang, J., Khan, J., Xuan, J., & Wang, Y. (2003). Computational intelligence approach for gene expression data mining and classification. In 2003 international conference on multimedia and expo. ICME\u201903. Proceedings (Cat. No. 03TH8698), 3 (pp. III\u2013449). IEEE"},{"issue":"14","key":"883_CR51","doi-asserted-by":"publisher","first-page":"1","DOI":"10.17485\/ijst\/2015\/v8i14\/72685","volume":"8","author":"P Suganya","year":"2015","unstructured":"Suganya, P., & Sumathi, C. (2015). A novel metaheuristic data mining algorithm for the detection and classification of parkinson disease. Indian Journal of Science and Technology, 8(14), 1\u20139.","journal-title":"Indian Journal of Science and Technology"},{"key":"883_CR52","doi-asserted-by":"crossref","unstructured":"Nezhad, S.E., Kamali, H.J., & Moghaddam, M.E. (2010). Solving k-coverage problem in wireless sensor networks using improved harmony search. In 2010 international conference on broadband, wireless computing, communication and applications (pp. 49\u201355).","DOI":"10.1109\/BWCCA.2010.47"},{"key":"883_CR53","doi-asserted-by":"crossref","unstructured":"Akshay, N., Kumar, M.P., Harish, B., & Dhanorkar, S. (2010). An efficient approach for sensor deployments in wireless sensor network. In INTERACT-2010 (pp. 350\u2013355).","DOI":"10.1109\/INTERACT.2010.5706178"},{"key":"883_CR54","doi-asserted-by":"crossref","unstructured":"So, A.M.-C., & Ye, Y. (2005). On solving coverage problems in a wireless sensor network using voronoi diagrams. In X. Deng & Y. Ye (Eds.), Internet and Network Economics (pp. 584\u2013593). Springer.","DOI":"10.1007\/11600930_58"},{"issue":"2","key":"883_CR55","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1080\/09720529.2020.1729511","volume":"23","author":"Manju","year":"2020","unstructured":"Manju, Bhambu, P., & Kuma, S. (2020). Target k-coverage problem in wireless sensor networks. Journal of Discrete Mathematical Sciences and Cryptography, 23(2), 651\u2013659.","journal-title":"Journal of Discrete Mathematical Sciences and Cryptography"},{"issue":"4","key":"883_CR56","first-page":"809","volume":"21","author":"S-C Chu","year":"2005","unstructured":"Chu, S.-C., Roddick, J. F., & Pan, J.-S. (2005). A parallel particle swarm optimization algorithm with communication strategies. Journal of Information Science and Engineering, 21(4), 809\u2013818.","journal-title":"Journal of Information Science and Engineering"},{"issue":"1","key":"883_CR57","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1109\/TSMCC.2013.2258336","volume":"44","author":"S Temel","year":"2014","unstructured":"Temel, S., Unaldi, N., & Kaynak, O. (2014). On deployment of wireless sensors on 3-d terrains to maximize sensing coverage by utilizing cat swarm optimization with wavelet transform. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(1), 111\u2013120.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"883_CR58","unstructured":"Liu, X. .-W., & Tu, X. .-M. (2001). Generalizing bresenham\u2019s algorithm to 3d straight-line. Journal of Computer Aided Design & Computer Graphics, 13(9), 779\u2013782."},{"issue":"1","key":"883_CR59","first-page":"13","volume":"22","author":"M Gao","year":"2021","unstructured":"Gao, M., Pan, J.-S., Li, J.-P., Zhang, Z.-P., & Chai, Q.-W. (2021). 3-d terrains deployment of wireless sensors network by utilizing parallel gases brownian motion optimization. Journal of Internet Technology, 22(1), 13\u201329.","journal-title":"Journal of Internet Technology"},{"key":"883_CR60","doi-asserted-by":"crossref","unstructured":"Shi, Y., & Eberhart, R.C. (1999). Empirical study of particle swarm optimization. In Proceedings of the 1999 congress on evolutionary computation-CEC99 (Cat. No. 99TH8406), 3 (pp. 1945\u20131950). IEEE","DOI":"10.1109\/CEC.1999.785511"},{"key":"883_CR61","unstructured":"Liang, J., Qu, B., Suganthan, P., & Hern\u00e1ndez-D\u00edaz, A. G. (2013). Problem definitions and evaluation criteria for the cec 2013 special session on real-parameter optimization. Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou, China and Nanyang Technological University, Singapore, Technical Report, 201212(34), 281\u2013295."}],"container-title":["Telecommunication Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11235-022-00883-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11235-022-00883-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11235-022-00883-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T05:37:16Z","timestamp":1726810636000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11235-022-00883-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,14]]},"references-count":61,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["883"],"URL":"https:\/\/doi.org\/10.1007\/s11235-022-00883-5","relation":{},"ISSN":["1018-4864","1572-9451"],"issn-type":[{"value":"1018-4864","type":"print"},{"value":"1572-9451","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,14]]},"assertion":[{"value":"18 January 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None. No fundings to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Fundings"}},{"value":"The authors declare that they have no conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}