journal article·2021Open access

Hybrid Metamodeling/Metaheuristic Assisted Multi-Transmitters Placement Planning

Amir Parnianifard, Muhammad Saadi, Manus Pengnoo, Muhammad Ali Imran, Sattam Al Otaibi, Pruk Sasithong, Pisit Vanichchanunt, Tuchsanai Polysuwan, Lunchakorn Wuttisittikulkij

Computers, Materials & Continua· Volume 68· Issue 1

Abstract

With every passing day, the demand for data traffic is increasing, and this urges the research community not only to look for an alternating spectrum for communication but also urges radio frequency planners to use the existi... | Find, read and cite all the research you need on Tech Science Press
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Research context

OpenAlex topics: VLSI and FPGA Design Techniques · Advanced Multi-Objective Optimization Algorithms · Manufacturing Process and Optimization

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References (52)

Show source-provided references
1. Optimal placement and number of energy transmitters in wireless sensor networks for RF energy transfer
2. Coverage-based node placement optimization in wireless sensor network with linear topology
3. IoT enabled quality of experience measurement for next generation networks in smart cities10.1016/j.scs.2020.102266 ↗
4. Narrowband internet of things (NB-IoT): From physical (PHY) and media access control (MAC) layers perspectives10.3390/s19112613 ↗
5. Multiobjective optimization in 5G hybrid networks10.1109/JIOT.2017.2788362 ↗
6. Grey wolf optimizer with an enhanced hierarchy and its application to the wireless sensor network coverage optimization problem10.1016/j.asoc.2020.106602 ↗
7. A virtual force algorithm-Lévy-embedded grey wolf optimization algorithm for wireless sensor network coverage optimization10.3390/s19122735 ↗
8. Optimization problems in wireless sensor networks
9. Ant colony optimization based sensor deployment protocol for wireless sensor networks10.1016/j.eswa.2010.11.079 ↗
10. ACO for optimal sensor layout
11. Routing in wireless sensor networks using an ant colony optimization (ACO) router chip10.3390/s90200909 ↗
12. Ant colony inspired self-optimized routing protocol based on cross layer architecture for wireless sensor networks
13. Millimeter wave communications for future mobile networks (guest editorial), Part I10.1109/JSAC.2017.2698698 ↗
14. A wireless sensor network coverage optimization algorithm based on particle swarm optimization and Voronoi diagram
15. Coverage optimization of wireless sensor networks based on chaos particle swarm algorithm10.3724/SP.J.1087.2011.00338 ↗
16. Study on coverage in wireless sensor network using grid based strategy and particle swarm optimization
17. Decentralized beam pair selection in multi-beam millimeter-wave networks10.1109/TCOMM.2018.2800756 ↗
18. Comparative study of metamodeling and sampling design for expensive and semi-expensive simulation models under uncertainty10.1177/0037549719846988 ↗
19. Review of metamodeling techniques in support of engineering design optimization10.1115/1.2429697 ↗
20. Metamodels for computer-based engineering design: Survey and recommendations10.1007/PL00007198 ↗
21. Kriging for localized spatial interpolation in sensor networks
22. Kriging-Assisted robust black-box simulation optimization in direct speed control of DC motor under uncertainty10.1109/TMAG.2018.2829767 ↗
23. Robust tuning and sensitivity analysis of stochastic integer and fractional-order PID control systems: Application of surrogate-based robust simulation-optimization
24. Robust optimal design of FOPID controller for five bar linkage robot in a Cyber-Physical System: A new simulation-optimization approach10.1371/journal.pone.0242613 ↗
25. Sequential improvement for robust optimization using an uncertainty measure for radial basis functions10.1007/s00158-016-1572-5 ↗
26. A kriging assisted direct torque control of brushless DC motor for electric vehicles
27. Metamodel-based robust simulation-optimization assisted optimal design of multiloop integer and fractional-order PID controller10.1002/jnm.2679 ↗
28. Kriging assisted on-line torque calculation for brushless DC motors used in electric vehicles10.1007/s12239-016-0015-z ↗
29. An indicator kriging method for distributed estimation in wireless sensor networks10.1002/dac.2344 ↗
30. Visible light-based indoor localization using k-means clustering and linear regression10.1002/ett.3480 ↗
31. Algorithm for wireless sensor network data fusion based on radial basis function neural networks10.4028/www.scientific.net/AMM.577.873 ↗
32. BEGIN: Big data enabled energy-efficient vehicular edge computing10.1109/MCOM.2018.1700910 ↗
33. A novel multilayer neural network model for TOA-based localization in wireless sensor networks
34. Analysis of radial basis function network for localization framework in wireless sensor networks
35. Optimal design of fractional-order PID controller for five bar linkage robot using a new particle swarm optimization algorithm10.1007/s00500-015-1741-2 ↗
36. Design of a fractional order PID controller for an AVR using particle swarm optimization10.1016/j.conengprac.2009.07.005 ↗
37. Simulation metamodeling through artificial neural networks10.1016/S0952-1976(03)00043-5 ↗
38. Computing confidence intervals for stochastic simulation using neural network metamodels10.1016/S0360-8352(99)00139-4 ↗
39. Advances in neural network modeling of phytoplankton primary production10.1016/S0304-3800(01)00294-0 ↗
40. A comparison of experimental designs in the development of a neural network simulation metamodel10.1016/j.simpat.2003.10.006 ↗
41. Buhmann · Radial Basis Functions: Theory and Implementations · 200310.1017/CBO9780511543241 ↗
42. Radial basis function neural networks: A topical state-of-the-art survey10.1515/comp-2016-0005 ↗
43. Particle swarm optimization10.1109/ICNN.1995.488968 ↗
44. A comprehensive review of swarm optimization algorithms10.1371/journal.pone.0122827 ↗
45. Particle swarm optimization: Basic concepts, variants and applications in power systems10.1109/TEVC.2007.896686 ↗
46. Surrogate-assisted hierarchical particle swarm optimization10.1016/j.ins.2018.04.062 ↗
47. A sequential metamodel-based method for structural optimization under uncertainty10.1016/j.istruc.2020.04.009 ↗
48. Particle swarm with radial basis function surrogates for expensive black-box optimization10.1016/j.jocs.2013.07.004 ↗
49. Miettinen · Nonlinear Multiobjective Optimization · 2012 · 12
50. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state of the art10.1016/S0045-7825(01)00323-1 ↗
51. The ant lion optimizer10.1016/j.advengsoft.2015.01.010 ↗
52. Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets10.1016/j.asoc.2017.07.060 ↗