{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T00:34:34Z","timestamp":1779928474941,"version":"3.53.1"},"reference-count":85,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1007\/s11063-022-10851-4","type":"journal-article","created":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T14:08:37Z","timestamp":1653487717000},"page":"2587-2611","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["A Review on Multi-objective Optimization in Wireless Sensor Networks Using Nature Inspired Meta-heuristic Algorithms"],"prefix":"10.1007","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2913-3459","authenticated-orcid":false,"family":"Gunjan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,5,25]]},"reference":[{"key":"10851_CR1","volume-title":"Wireless sensor and actuator networks: technologies, analysis and design","author":"R Verdone","year":"2010","unstructured":"Verdone R, Dardari D, Mazzini G, Conti A (2010) Wireless sensor and actuator networks: technologies, analysis and design. Academic Press, Cambridge"},{"key":"10851_CR2","unstructured":"Jiang X, Li S (2017) Bas: Beetle antennae search algorithm for optimization problems. arXiv preprint arxiv:1710.10724 [abs]"},{"key":"10851_CR3","unstructured":"Zhang J, Huang Y, Ma G, Nener B (2020) Multi-objective beetle antennae search algorithm. arXiv preprint arXiv:2002.10090"},{"key":"10851_CR4","unstructured":"Jiang X, Li S (2017) Beetle antennae search without parameter tuning (bas-wpt) for multi-objective optimization, arXiv preprint arXiv:1711.02395"},{"key":"10851_CR5","doi-asserted-by":"crossref","first-page":"107149","DOI":"10.1016\/j.knosys.2021.107149","volume":"226","author":"J Qian","year":"2021","unstructured":"Qian J, Wang P, Pu C, Chen G (2021) Joint application of multi-object beetle antennae search algorithm and bas-bp fuel cost forecast network on optimal active power dispatch problems\u2019\u2019. Knowled Based Syst 226:107149","journal-title":"Knowled Based Syst"},{"issue":"2","key":"10851_CR6","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1109\/JAS.2020.1003048","volume":"7","author":"AH Khan","year":"2020","unstructured":"Khan AH, Cao X, Li S, Katsikis VN, Liao L (2020) Bas-adam: an adam based approach to improve the performance of beetle antennae search optimizer. IEEE\/CAA J Autom Sinica 7(2):461\u2013471","journal-title":"IEEE\/CAA J Autom Sinica"},{"issue":"16","key":"10851_CR7","doi-asserted-by":"crossref","first-page":"10595","DOI":"10.1007\/s00500-021-05991-z","volume":"25","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Li S, Xu B (2021) Convergence analysis of beetle antennae search algorithm and its applications. Soft Comput 25(16):10595\u201310608","journal-title":"Soft Comput"},{"issue":"5","key":"10851_CR8","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1016\/0045-7949(93)90513-D","volume":"48","author":"M Sunar","year":"1993","unstructured":"Sunar M, Rao S (1993) Simultaneous passive and active control design of structures using multiobjective optimization strategies. Comput Struct 48(5):913\u2013924","journal-title":"Comput Struct"},{"issue":"2\u20134","key":"10851_CR9","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/S0045-7825(99)00393-X","volume":"186","author":"V Coverstone-Carroll","year":"2000","unstructured":"Coverstone-Carroll V, Hartmann J, Mason W (2000) Optimal multi-objective low-thrust spacecraft trajectories. Comput Methods Appl Mech Eng 186(2\u20134):387\u2013402","journal-title":"Comput Methods Appl Mech Eng"},{"key":"10851_CR10","doi-asserted-by":"crossref","unstructured":"Aryal RG, Altmann J (2018) Dynamic application deployment in federations of clouds and edge resources using a multiobjective optimization ai algorithm, In: 2018 Third international conference on fog and mobile edge computing (FMEC). IEEE, pp 147\u2013154","DOI":"10.1109\/FMEC.2018.8364057"},{"issue":"4","key":"10851_CR11","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1007\/s13198-017-0659-8","volume":"9","author":"N Rehani","year":"2018","unstructured":"Rehani N, Garg R (2018) Meta-heuristic based reliable and green workflow scheduling in cloud computing. Int J Syst Assur Eng Manag 9(4):811\u2013820","journal-title":"Int J Syst Assur Eng Manag"},{"key":"10851_CR12","unstructured":"Chen D, Li X, Li S (2021) A novel convolutional neural network model based on beetle antennae search optimization algorithm for computerized tomography diagnosis, IEEE Trans Neural Netw Learn Syst"},{"issue":"1","key":"10851_CR13","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1109\/JAS.2020.1003381","volume":"8","author":"Z Li","year":"2021","unstructured":"Li Z, Li S, Luo X (2021) An overview of calibration technology of industrial robots. IEEE\/CAA J Autom Sinica 8(1):23","journal-title":"IEEE\/CAA J Autom Sinica"},{"issue":"4","key":"10851_CR14","doi-asserted-by":"crossref","first-page":"1776","DOI":"10.1109\/TNNLS.2020.2991088","volume":"32","author":"D Chen","year":"2020","unstructured":"Chen D, Li S, Wu Q (2020) A novel supertwisting zeroing neural network with application to mobile robot manipulators. IEEE Trans Neural Netw Learn Syst 32(4):1776\u20131787","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10851_CR15","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/j.neucom.2021.06.089","volume":"460","author":"D Chen","year":"2021","unstructured":"Chen D, Cao X, Li S (2021) A multi-constrained zeroing neural network for time-dependent nonlinear optimization with application to mobile robot tracking control. Neurocomputing 460:331\u2013344","journal-title":"Neurocomputing"},{"key":"10851_CR16","doi-asserted-by":"crossref","unstructured":"Khan AT, Li S (2021) Human guided cooperative robotic agents in smart home using beetle antennae search, Science China Information Sciences","DOI":"10.1007\/s11432-020-3073-5"},{"key":"10851_CR17","doi-asserted-by":"crossref","unstructured":"Khan AT, Li S, Li Z (2021) Obstacle avoidance and model-free tracking control for home automation using bio-inspired approach. Engineering and Industrial Systems, Advanced Control for Applications, p e63","DOI":"10.1002\/adc2.63"},{"key":"10851_CR18","doi-asserted-by":"crossref","first-page":"113324","DOI":"10.1016\/j.enconman.2020.113324","volume":"224","author":"H Liu","year":"2020","unstructured":"Liu H, Li Y, Duan Z, Chen C (2020) A review on multi-objective optimization framework in wind energy forecasting techniques and applications. Energy Convers Manage 224:113324","journal-title":"Energy Convers Manage"},{"issue":"5","key":"10851_CR19","first-page":"1","volume":"64","author":"AT Khan","year":"2021","unstructured":"Khan AT, Cao X, Li S, Hu B, Katsikis VN (2021) Quantum beetle antennae search: a novel technique for the constrained portfolio optimization problem. Science China Inf Sci 64(5):1\u201314","journal-title":"Science China Inf Sci"},{"issue":"6","key":"10851_CR20","first-page":"772","volume":"19","author":"KJ Aval","year":"2012","unstructured":"Aval KJ, Abd Razak S (2012) A review on the implementation of multiobjective algorithms in wireless sensor network. World Appl Sci J 19(6):772\u2013779","journal-title":"World Appl Sci J"},{"issue":"7","key":"10851_CR21","doi-asserted-by":"crossref","first-page":"17572","DOI":"10.3390\/s150717572","volume":"15","author":"M Iqbal","year":"2015","unstructured":"Iqbal M, Naeem M, Anpalagan A, Ahmed A, Azam M (2015) Wireless sensor network optimization: multi-objective paradigm. Sensors 15(7):17572\u201317620","journal-title":"Sensors"},{"issue":"1","key":"10851_CR22","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1109\/COMST.2016.2610578","volume":"19","author":"Z Fei","year":"2016","unstructured":"Fei Z, Li B, Yang S, Xing C, Chen H, Hanzo L (2016) A survey of multi-objective optimization in wireless sensor networks: metrics, algorithms, and open problems. IEEE Commun Surv Tutor 19(1):550\u2013586","journal-title":"IEEE Commun Surv Tutor"},{"key":"10851_CR23","doi-asserted-by":"crossref","unstructured":"Kandris D, Alexandridis A, Dagiuklas T, Panaousis E, Vergados DD (2020) Multiobjective optimization algorithms for wireless sensor networks","DOI":"10.1155\/2020\/4652801"},{"key":"10851_CR24","doi-asserted-by":"crossref","unstructured":"Balasubramanian DL, Govindasamy V (2020) Study on evolutionary approaches for improving the energy efficiency of wireless sensor networks applications, EAI Endorsed Trans Internet of Things. 5(20)","DOI":"10.4108\/eai.13-7-2018.164856"},{"key":"10851_CR25","doi-asserted-by":"crossref","first-page":"100342","DOI":"10.1016\/j.cosrev.2020.100342","volume":"39","author":"A Singh","year":"2021","unstructured":"Singh A, Sharma S, Singh J (2021) Nature-inspired algorithms for wireless sensor networks: a comprehensive survey. Comput Sci Rev 39:100342","journal-title":"Comput Sci Rev"},{"issue":"7","key":"10851_CR26","doi-asserted-by":"crossref","first-page":"810","DOI":"10.1049\/iet-com.2009.0164","volume":"4","author":"Y Liu","year":"2010","unstructured":"Liu Y, Xiong N, Zhao Y, Vasilakos AV, Gao J, Jia Y (2010) Multi-layer clustering routing algorithm for wireless vehicular sensor networks. IET Commun 4(7):810\u2013816","journal-title":"IET Commun"},{"key":"10851_CR27","doi-asserted-by":"crossref","unstructured":"Patnaik S, Li X, Yang Y-M (2015) Recent development in wireless sensor and ad-hoc networks. Springer","DOI":"10.1007\/978-81-322-2129-6"},{"key":"10851_CR28","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.jnca.2013.05.003","volume":"38","author":"LT Lilien","year":"2014","unstructured":"Lilien LT, Ben Othmane L, Angin P, DeCarlo A, Salih RM, Bhargava B (2014) A simulation study of ad hoc networking of uavs with opportunistic resource utilization networks. J Netw Comput Appl 38:3\u201315","journal-title":"J Netw Comput Appl"},{"key":"10851_CR29","doi-asserted-by":"crossref","unstructured":"Bachuwar V, Ghodake U, Lakhssassi A, Suryavanshi S (2018) Wsn\/wi-fi microchip-based agriculture parameter monitoring using iot, In: 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE, pp 214\u2013219","DOI":"10.1109\/ICSSIT.2018.8748638"},{"key":"10851_CR30","doi-asserted-by":"crossref","unstructured":"Prakash A, Tripathi R (2008) Vehicular ad hoc networks toward intelligent transport systems, In: TENCON 2008-2008 IEEE Region 10 Conference. IEEE, pp 1\u20136","DOI":"10.1109\/TENCON.2008.4766817"},{"key":"10851_CR31","doi-asserted-by":"crossref","unstructured":"Kumar M, Gupta I, Tiwari S, Tripathi R (2013) A comparative study of reactive routing protocols for industrial wireless sensor networks. International Conference on Heterogeneous Networking for Quality. Reliability, Security and Robustness. Springer, pp 248\u2013260","DOI":"10.1007\/978-3-642-37949-9_21"},{"issue":"10","key":"10851_CR32","doi-asserted-by":"crossref","first-page":"4519","DOI":"10.1109\/TII.2018.2793350","volume":"14","author":"J-S Fu","year":"2018","unstructured":"Fu J-S, Liu Y, Chao H-C, Bhargava BK, Zhang Z-J (2018) Secure data storage and searching for industrial iot by integrating fog computing and cloud computing. IEEE Trans Industr Inf 14(10):4519\u20134528","journal-title":"IEEE Trans Industr Inf"},{"key":"10851_CR33","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.comnet.2017.03.008","volume":"118","author":"S Yang","year":"2017","unstructured":"Yang S, Wieder P, Yahyapour R, Fu X (2017) Energy-aware provisioning in optical cloud networks. Comput Netw 118:78\u201395","journal-title":"Comput Netw"},{"issue":"11","key":"10851_CR34","doi-asserted-by":"crossref","first-page":"4372","DOI":"10.1109\/JSEN.2018.2826040","volume":"18","author":"R Zafar","year":"2018","unstructured":"Zafar R, Nawaz S, Singh G, d\u2019Alessandro A, Salim M (2018) Plasmonics-based refractive index sensor for detection of hemoglobin concentration. IEEE Sens J 18(11):4372\u20134377","journal-title":"IEEE Sens J"},{"key":"10851_CR35","unstructured":"Lahane SR, Jariwala KN (2021) Integrating beetle swarm optimization in cross layer design routing protocol to improve quality of service in clustered wsn. Adhoc Sensor Wirel Netw, 49"},{"key":"10851_CR36","doi-asserted-by":"crossref","unstructured":"Shende DK, Sonavane S (2020) Crowwhale-etr: Crowwhale optimization algorithm for energy and trust aware multicast routing in wsn for iot applications. Wirel Netw, pp 1\u201319","DOI":"10.1007\/s11276-020-02299-y"},{"issue":"2","key":"10851_CR37","first-page":"514","volume":"14","author":"D Wu","year":"2020","unstructured":"Wu D, Geng S, Cai X, Zhang G, Xue F (2020) A many-objective optimization wsn energy balance model\u2019\u2019. KSII Trans Internet Inf Syst (TIIS) 14(2):514\u2013537","journal-title":"KSII Trans Internet Inf Syst (TIIS)"},{"key":"10851_CR38","unstructured":"Edgeworth FY, Mathematical psychics: An essay on the application of mathematics to the moral sciences. CK Paul, 1881, (10)"},{"key":"10851_CR39","unstructured":"Rudolph G, Agapie A (2000) Convergence properties of some multi-objective evolutionary algorithms, In: Proceedings of the 2000 congress on evolutionary computation. CEC00 (Cat. No. 00TH8512), 2. IEEE, pp 1010\u20131016"},{"issue":"3\u20134","key":"10851_CR40","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/0025-5564(70)90126-4","volume":"7","author":"RS Rosenberg","year":"1970","unstructured":"Rosenberg RS (1970) Stimulation of genetic populations with biochemical properties: I. The model. Math Biosci 7(3\u20134):223\u2013257","journal-title":"Math Biosci"},{"key":"10851_CR41","unstructured":"Schaffer JD (1985) Multiple objective optimization with vector evaluated genetic algorithms, In: Proceedings of the first international conference on genetic algorithms and their applications, 1985. Lawrence Erlbaum Associates. Inc., Publishers"},{"issue":"3","key":"10851_CR42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2729974","volume":"24","author":"W Mkaouer","year":"2015","unstructured":"Mkaouer W, Kessentini M, Shaout A, Koligheu P, Bechikh S, Deb K, Ouni A (2015) Many-objective software remodularization using nsga-iii. ACM Trans Softw Eng Methodol (TOSEM) 24(3):1\u201345","journal-title":"ACM Trans Softw Eng Methodol (TOSEM)"},{"key":"10851_CR43","unstructured":"Coello CC, Lechuga MS (2020) Mopso: a proposal for multiple objective particle swarm optimization,\u201d In: Proceedings of the 2002 Congress on Evolutionary Computation. CEC\u201902 (Cat. No. 02TH8600), 2. IEEE, pp 1051\u20131056"},{"key":"10851_CR44","unstructured":"Higham DJ, Higham NJ (2016) MATLAB guide. SIAM"},{"key":"10851_CR45","doi-asserted-by":"crossref","unstructured":"Issariyakul T, Hossain E (2009) Introduction to network simulator 2 (ns2), In: Introduction to network simulator NS2. Springer, pp 1\u201318","DOI":"10.1007\/978-0-387-71760-9_2"},{"key":"10851_CR46","doi-asserted-by":"crossref","unstructured":"Chang X (1999) Network simulations with opnet, In: WSC\u201999. 1999 Winter Simulation Conference Proceedings.\u2019Simulation-A Bridge to the Future\u2019(Cat. No. 99CH37038), 1. IEEE, (1999), pp 307\u2013314","DOI":"10.1145\/324138.324232"},{"key":"10851_CR47","doi-asserted-by":"crossref","unstructured":"Rossman LA (2010) An overview of epanet version 3.0, Water distribution systems analysis 2010, pp 14\u201318","DOI":"10.1061\/41203(425)3"},{"key":"10851_CR48","unstructured":"Stehl\u00edk M (2011) Comparison of simulators for wireless sensor networks, Ph.D. dissertation, Masarykova univerzita, Fakulta informatiky"},{"key":"10851_CR49","doi-asserted-by":"crossref","unstructured":"Veeramachaneni KK, Osadciw LA (2004) Dynamic sensor management using multi-objective particle swarm optimizer,\u201d In: Multisensor, multisource information fusion: architectures, algorithms, and applications 2004, vol. 5434. International Society for Optics and Photonics, pp 205\u2013216","DOI":"10.1117\/12.542927"},{"key":"10851_CR50","unstructured":"Xue F, Sanderson A, Graves R (2006) Multi-objective routing in wireless sensor networks with a differential evolution algorithm, In: 2006 IEEE International conference on networking, sensing and control. IEEE, pp 880\u2013885"},{"key":"10851_CR51","doi-asserted-by":"crossref","unstructured":"Konstantinidis A, Yang K, Zhang Q (2008) An evolutionary algorithm to a multi-objective deployment and power assignment problem in wireless sensor networks, In: IEEE GLOBECOM 2008-2008 IEEE Global Telecommunications Conference. IEEE, pp 1\u20136","DOI":"10.1109\/GLOCOM.2008.ECP.98"},{"issue":"11\u201312","key":"10851_CR52","doi-asserted-by":"crossref","first-page":"1767","DOI":"10.1016\/j.camwa.2008.10.037","volume":"57","author":"J Jia","year":"2009","unstructured":"Jia J, Chen J, Chang G, Wen Y, Song J (2009) Multi-objective optimization for coverage control in wireless sensor network with adjustable sensing radius. Comput Math Appl 57(11\u201312):1767\u20131775","journal-title":"Comput Math Appl"},{"key":"10851_CR53","doi-asserted-by":"crossref","unstructured":"EkbataniFard GH, Monsefi R, Akbarzadeh-T M-R, Yaghmaee MH (2010) A multi-objective genetic algorithm based approach for energy efficient qos-routing in two-tiered wireless sensor networks,\u201d In: IEEE 5th International Symposium on Wireless Pervasive Computing 2010. IEEE, pp. 80\u201385","DOI":"10.1109\/ISWPC.2010.5483775"},{"key":"10851_CR54","doi-asserted-by":"crossref","unstructured":"Aitsaadi N, Achir N, Boussetta K, Pujolle G (2010) Multi-objective wsn deployment: quality of monitoring, connectivity and lifetime, In: 2010 IEEE International Conference on Communications. IEEE, pp 1\u20136","DOI":"10.1109\/ICC.2010.5502276"},{"issue":"1","key":"10851_CR55","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.comcom.2010.08.011","volume":"34","author":"A Konstantinidis","year":"2011","unstructured":"Konstantinidis A, Yang K (2011) Multi-objective k-connected deployment and power assignment in wsns using a problem-specific constrained evolutionary algorithm based on decomposition. Comput Commun 34(1):83\u201398","journal-title":"Comput Commun"},{"issue":"3","key":"10851_CR56","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1109\/JSEN.2010.2048897","volume":"11","author":"FV Martins","year":"2010","unstructured":"Martins FV, Carrano EG, Wanner EF, Takahashi RH, Mateus GR (2010) A hybrid multiobjective evolutionary approach for improving the performance of wireless sensor networks\u2019\u2019. IEEE Sens J 11(3):545\u2013554","journal-title":"IEEE Sens J"},{"issue":"7","key":"10851_CR57","doi-asserted-by":"crossref","first-page":"1913","DOI":"10.1016\/j.asoc.2011.05.036","volume":"12","author":"H Ali","year":"2012","unstructured":"Ali H, Shahzad W, Khan FA (2012) Energy-efficient clustering in mobile ad-hoc networks using multi-objective particle swarm optimization\u2019\u2019. Appl Soft Comput 12(7):1913\u20131928","journal-title":"Appl Soft Comput"},{"key":"10851_CR58","doi-asserted-by":"crossref","unstructured":"He D, Portilla J, Riesgo T (2013) A 3d multi-objective optimization planning algorithm for wireless sensor networks, In: IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society. IEEE, pp 5428\u20135433","DOI":"10.1109\/IECON.2013.6700019"},{"key":"10851_CR59","doi-asserted-by":"crossref","unstructured":"Abidin HZ, Din NM, Jalil YE (2013) Multi-objective optimization (moo) approach for sensor node placement in wsn, In: 2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, pp 1\u20135","DOI":"10.1109\/ICSPCS.2013.6723994"},{"issue":"1","key":"10851_CR60","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.engappai.2012.05.018","volume":"26","author":"S Sengupta","year":"2013","unstructured":"Sengupta S, Das S, Nasir M, Panigrahi BK (2013) Multi-objective node deployment in wsns: in search of an optimal trade-off among coverage, lifetime, energy consumption, and connectivity. Eng Appl Artif Intell 26(1):405\u2013416","journal-title":"Eng Appl Artif Intell"},{"key":"10851_CR61","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.procs.2014.08.086","volume":"35","author":"Y Lu","year":"2014","unstructured":"Lu Y, Chen J, Comsa I, Kuonen P, Hirsbrunner B (2014) Construction of data aggregation tree for multi-objectives in wireless sensor networks through jump particle swarm optimization\u2019\u2019. Procedia Comput Sci 35:73\u201382","journal-title":"Procedia Comput Sci"},{"key":"10851_CR62","doi-asserted-by":"crossref","unstructured":"Sharawi M, Emary E, Saroit IA, El-Mahdy H (2015) Wsn\u2019s energy-aware coverage preserving optimization model based on multi-objective bat algorithm, In: 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, 472\u2013479","DOI":"10.1109\/CEC.2015.7256927"},{"key":"10851_CR63","doi-asserted-by":"crossref","unstructured":"Elsersy M, Ahmed MH, Elfouly TM, Abdaoui A (2015) Multi-objective sensor placement using the effective independence model (spem) for wireless sensor networks in structural health monitoring, In: 2015 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 576\u2013580","DOI":"10.1109\/IWCMC.2015.7289147"},{"issue":"2","key":"10851_CR64","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1007\/s10732-014-9261-2","volume":"21","author":"D He","year":"2015","unstructured":"He D, Mujica G, Portilla J, Riesgo T (2015) Modelling and planning reliable wireless sensor networks based on multi-objective optimization genetic algorithm with changeable length. J Heuristics 21(2):257\u2013300","journal-title":"J Heuristics"},{"key":"10851_CR65","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/j.asoc.2015.12.007","volume":"40","author":"R Murugeswari","year":"2016","unstructured":"Murugeswari R, Radhakrishnan S, Devaraj D (2016) A multi-objective evolutionary algorithm based qos routing in wireless mesh networks. Appl Soft Comput 40:517\u2013525","journal-title":"Appl Soft Comput"},{"issue":"3","key":"10851_CR66","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1007\/s11235-015-0009-6","volume":"61","author":"SM Jameii","year":"2016","unstructured":"Jameii SM, Faez K, Dehghan M (2016) Amof: adaptive multi-objective optimization framework for coverage and topology control in heterogeneous wireless sensor networks. Telecommun Syst 61(3):515\u2013530","journal-title":"Telecommun Syst"},{"key":"10851_CR67","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.engappai.2016.03.004","volume":"53","author":"M Khalesian","year":"2016","unstructured":"Khalesian M, Delavar MR (2016) Wireless sensors deployment optimization using a constrained pareto-based multi-objective evolutionary approach. Eng Appl Artif Intell 53:126\u2013139","journal-title":"Eng Appl Artif Intell"},{"issue":"8","key":"10851_CR68","doi-asserted-by":"crossref","first-page":"2385","DOI":"10.1007\/s11276-014-0743-9","volume":"20","author":"N Bahl","year":"2014","unstructured":"Bahl N, Sharma AK, Verma HK (2014) On the energy utilization for wsn based on bpsk over the generalized-k shadowed fading channel. Wireless Netw 20(8):2385\u20132393","journal-title":"Wireless Netw"},{"key":"10851_CR69","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.eswa.2016.04.016","volume":"59","author":"G Hacioglu","year":"2016","unstructured":"Hacioglu G, Kand VFA, Sesli E (2016) Multi objective clustering for wireless sensor networks. Expert Syst Appl 59:86\u2013100","journal-title":"Expert Syst Appl"},{"issue":"5","key":"10851_CR70","doi-asserted-by":"crossref","first-page":"12275","DOI":"10.1007\/s10586-017-1608-7","volume":"22","author":"K Vijayalakshmi","year":"2019","unstructured":"Vijayalakshmi K, Anandan P (2019) A multi objective tabu particle swarm optimization for effective cluster head selection in wsn. Clust Comput 22(5):12275\u201312282","journal-title":"Clust Comput"},{"key":"10851_CR71","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.comnet.2018.03.023","volume":"138","author":"K Singh","year":"2018","unstructured":"Singh K, Singh K, Aziz A et al (2018) Congestion control in wireless sensor networks by hybrid multi-objective optimization algorithm. Comput Netw 138:90\u2013107","journal-title":"Comput Netw"},{"key":"10851_CR72","doi-asserted-by":"crossref","first-page":"4913","DOI":"10.1109\/ACCESS.2018.2885934","volume":"7","author":"Y Chang","year":"2018","unstructured":"Chang Y, Yuan X, Li B, Niyato D, Al-Dhahir N (2018) \u201cMachine-learning-based parallel genetic algorithms for multi-objective optimization in ultra-reliable low-latency wsns. IEEE Access 7:4913\u20134926","journal-title":"IEEE Access"},{"key":"10851_CR73","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.asoc.2019.01.034","volume":"77","author":"Z Sun","year":"2019","unstructured":"Sun Z, Wei M, Zhang Z, Qu G (2019) Secure routing protocol based on multi-objective ant-colony-optimization for wireless sensor networks. Appl Soft Comput 77:366\u2013375","journal-title":"Appl Soft Comput"},{"issue":"15","key":"10851_CR74","doi-asserted-by":"crossref","first-page":"3334","DOI":"10.3390\/s19153334","volume":"19","author":"F Li","year":"2019","unstructured":"Li F, Liu M, Xu G (2019) A quantum ant colony multi-objective routing algorithm in wsn and its application in a manufacturing environment. Sensors 19(15):3334","journal-title":"Sensors"},{"issue":"6","key":"10851_CR75","doi-asserted-by":"crossref","first-page":"e4270","DOI":"10.1002\/dac.4270","volume":"34","author":"SB Sasi","year":"2021","unstructured":"Sasi SB, Santhosh R (2021) Multiobjective routing protocol for wireless sensor network optimization using ant colony conveyance algorithm. Int J Commun Syst 34(6):e4270","journal-title":"Int J Commun Syst"},{"key":"10851_CR76","doi-asserted-by":"crossref","first-page":"105793","DOI":"10.1109\/ACCESS.2020.2999157","volume":"8","author":"SE Bouzid","year":"2020","unstructured":"Bouzid SE, Seresstou Y, Raoof K, Omri MN, Mbarki M, Dridi C (2020) Moonga: multi-objective optimization of wireless network approach based on genetic algorithm. IEEE Access 8:105793\u2013105814","journal-title":"IEEE Access"},{"issue":"5","key":"10851_CR77","doi-asserted-by":"crossref","first-page":"3637","DOI":"10.1007\/s11276-020-02281-8","volume":"26","author":"G Sharma","year":"2020","unstructured":"Sharma G, Ajay K, Karan V (2020) Nsga-ii with enlu inspired clustering for wireless sensor networks\u2019\u2019. Wireless Netw 26(5):3637\u20133655","journal-title":"Wireless Netw"},{"issue":"6","key":"10851_CR78","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1007\/s12083-020-00945-y","volume":"13","author":"A Prasanth","year":"2020","unstructured":"Prasanth A, Jayachitra S (2020) A novel multi-objective optimization strategy for enhancing quality of service in iot-enabled wsn applications. Peer-to-Peer Netw Appl 13(6):1905\u20131920","journal-title":"Peer-to-Peer Netw Appl"},{"key":"10851_CR79","doi-asserted-by":"crossref","first-page":"107347","DOI":"10.1016\/j.comnet.2020.107347","volume":"179","author":"M Jeske","year":"2020","unstructured":"Jeske M, Rosset V, Nascimento MC (2020) Determining the trade-offs between data delivery and energy consumption in large-scale wsns by multi-objective evolutionary optimization. Comput Netw 179:107347","journal-title":"Comput Netw"},{"key":"10851_CR80","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1016\/j.ins.2018.06.055","volume":"509","author":"C Hu","year":"2020","unstructured":"Hu C, Dai L, Yan X, Gong W, Liu X, Wang L (2020) Modified nsga-iii for sensor placement in water distribution system. Inf Sci 509:488\u2013500","journal-title":"Inf Sci"},{"key":"10851_CR81","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.procs.2020.05.035","volume":"172","author":"SS Chakravarthi","year":"2020","unstructured":"Chakravarthi SS, Kumar GH (2020) Optimization of network coverage and lifetime of the wireless sensor network based on pareto optimization using non-dominated sorting genetic approach. Procedia Comput Sci 172:225\u2013228","journal-title":"Procedia Comput Sci"},{"issue":"2","key":"10851_CR82","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/s11277-020-07874-2","volume":"117","author":"TM Thekkil","year":"2021","unstructured":"Thekkil TM, Prabakaran N (2021) Optimization based multi-objective weighted clustering for remote monitoring system in wsn. Wirel Pers Commun 117(2):387\u2013404","journal-title":"Wirel Pers Commun"},{"issue":"2","key":"10851_CR83","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1007\/s40747-019-0113-4","volume":"6","author":"CA Coello Coello","year":"2020","unstructured":"Coello Coello CA, Gonz\u00e1lez Brambila S, Figueroa Gamboa J, Castillo Tapia MG, Hern\u00e1ndez G\u00f3mez R (2020) Evolutionary multiobjective optimization: open research areas and some challenges lying ahead. Complex Intell Syst 6(2):221\u2013236","journal-title":"Complex Intell Syst"},{"issue":"11","key":"10851_CR84","doi-asserted-by":"crossref","first-page":"5931","DOI":"10.1109\/TII.2019.2909142","volume":"15","author":"H Lu","year":"2019","unstructured":"Lu H, Jin L, Luo X, Liao B, Guo D, Xiao L (2019) Rnn for solving perturbed time-varying underdetermined linear system with double bound limits on residual errors and state variables. IEEE Trans Industr Inf 15(11):5931\u20135942","journal-title":"IEEE Trans Industr Inf"},{"issue":"1","key":"10851_CR85","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1109\/TBDATA.2019.2916868","volume":"7","author":"X Luo","year":"2019","unstructured":"Luo X, Zhou M, Li S, Wu D, Liu Z, Shang M (2019) Algorithms of unconstrained non-negative latent factor analysis for recommender systems. IEEE Trans Big Data 7(1):227\u2013240","journal-title":"IEEE Trans Big Data"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-10851-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-022-10851-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-10851-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,22]],"date-time":"2023-11-22T05:58:25Z","timestamp":1700632705000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-022-10851-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,25]]},"references-count":85,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["10851"],"URL":"https:\/\/doi.org\/10.1007\/s11063-022-10851-4","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,25]]},"assertion":[{"value":"15 April 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}