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Meta-Heuristic Device-Free Localization Algorithm under Multiple Path Effect
2023
Entropy
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In the scenario of device-free localization under multiple effects, the accuracy of localization based on compressed sensing theory is severely affected. ...
Most existing localization techniques directly ignore multiple path effects. ...
The main contributions made in this paper are as follows: (a) In order to improve the performance of the device-free localization algorithm under multiple path effects, the optimization problem of the ...
doi:10.3390/e25071025
pmid:37509972
pmcid:PMC10377885
fatcat:tvizfetqp5ajdj7uxk4c4hdwe4
Investigation On Novel Based Metaheuristic Algorithms For Combinatorial Optimization Problems In Ad Hoc Networks
2014
Zenodo
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This paper presents a survey on few meta-heuristic algorithms and naturally-inspired algorithms. ...
In order to efficiently transmit data to destinations, the applicable routing algorithms must be implemented in mobile ad-hoc networks. ...
Devices in a MANET are free to move independently in any direction, and also can change its links to any other devices frequently. ...
doi:10.5281/zenodo.1096161
fatcat:jtnbmkm5vbdbvigaigvkx6zb34
An improved multipath MANET routing using link estimation and swarm intelligence
2015
EURASIP Journal on Wireless Communications and Networking
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The optimal path is selected using BAT meta-heuristic optimization. Simulation shows improved performance compared to AOMDV. ...
Current on-demand ad hoc routing algorithms start route discovery after path break, incurring high cost to detect the disconnection and to establish a new route. ...
Popular meta-heuristic algorithms including genetic algorithm and particle swarm optimization (PSO) have shown to have drawbacks when the solution to be found is multimodal. ...
doi:10.1186/s13638-015-0385-3
fatcat:bko7ouunvbfy3opn5vs3ocjbra
A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches
2023
Drones
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Wireless communication networks have been witnessing unprecedented demand due to the increasing number of connected devices and emerging bandwidth-hungry applications. ...
In this regard, various optimization techniques are identified from the related literature, and they are presented under the above-mentioned classes of employed optimization methods. ...
For more information on meta-heuristic algorithms, the studies in [126] can be examined. In the following paragraphs, we examine meta-heuristic algorithms in three categories. ...
doi:10.3390/drones7030214
fatcat:qgfsumlj2bbtjfh4ri4r5x7ofy
Critical analysis of swarm intelligence based routing protocols in adhoc and sensor wireless networks
2011
International Conference on Computer Networks and Information Technology
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The Swarm Intelligence based algorithmic approaches; Particle Swarm Optimization (PSO) and Ant Co lony Optimization (A CO) are more p ro mising in provid ing loop free, energy-aware, and mult i-path routing ...
Th is survey provides collection of Swarm Intelligence based algorithms for mobile ad hoc an d sensor networks and their critical analysis. ...
Individual devices in a mobile ad hoc network are free to move in any direct ion and frequently devices links changes occur. ...
doi:10.1109/iccnit.2011.6020945
fatcat:4vscn74lrzc43mdb4grhsehr64
A Review of Path-Planning Approaches for Multiple Mobile Robots
2022
Machines
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The multi-robot path-planning approaches have been classified as classical approaches, heuristic algorithms, bio-inspired techniques, and artificial intelligence approaches. ...
This paper reviews multi-robot path-planning approaches and decision-making strategies and presents the path-planning algorithms for various types of robots, including aerial, ground, and underwater robots ...
Other Heuristic Algorithms A constructive heuristic approach is presented to perceive multiple regions of interest. ...
doi:10.3390/machines10090773
fatcat:bojo6szg7jcqzkipleoxj4e3qi
A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches
[article]
2022
arXiv
pre-print
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Wireless communication networks have been witnessing an unprecedented demand due to the increasing number of connected devices and emerging bandwidth-hungry applications. ...
In this regard, various optimization techniques are identified from the related literature, and they are presented under the above mentioned classes of employed optimization methods. ...
His research interests are in IoT networking and applications, underwater communication, device-to-device communication, sensor networks and the applications of AI in wireless communication and networking ...
arXiv:2204.07967v1
fatcat:2x7dyojlvjfknibfsliiq4ozw4
A Survey on Model-based, Heuristic, and Machine Learning Optimization Approaches in RIS-aided Wireless Networks
[article]
2023
arXiv
pre-print
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This work provides a comprehensive survey on optimization techniques for RIS-aided wireless communications, including model-based, heuristic, and machine learning (ML) algorithms. ...
Next, heuristic optimization is discussed, which applies heuristic rules for obtaining low-complexity solutions. ...
Meta-heuristic and ML algorithms also present promising solutions. ...
arXiv:2303.14320v2
fatcat:mtwntlcidnam7b436tjyqkq67i
Optimizing quantum heuristics with meta-learning
2021
Quantum Machine Intelligence
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AbstractVariational quantum algorithms, a class of quantum heuristics, are promising candidates for the demonstration of useful quantum computation. ...
Here, we evaluate the optimization of quantum heuristics with an existing class of techniques called "meta-learners." ...
We also appreciate support from the AFRL Information Directorate under grant F4HBKC4162G001 and the Office of the Director of National Intelligence (ODNI) and the Intelligence Advanced Research Projects ...
doi:10.1007/s42484-020-00022-w
fatcat:xoqjlh5phndx3itiosrq4dheti
Review on path planning algorithm for unmanned aerial vehicles
2021
Indonesian Journal of Electrical Engineering and Computer Science
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Several algorithms have been proposed and outlined in the various literature for the path planning of autonomous vehicle especially for unmanned aerial vehicles (UAV). ...
The algorithms are not guaranteed to give full performance in each path planning cases but each one of them has their own specification which makes them suitable in sophisticated situation. ...
Genetic algorithm (GA) A genetic algorithm (GA) resides to meta-heuristic search algorithms [4] , [7] that is motivated by the principle of natural evolution of Charles Darwin. ...
doi:10.11591/ijeecs.v24.i2.pp1017-1026
fatcat:bauxajrw7jhethvzieylywoer4
VANET Clustering-Based Routing Protocol for Vehicular Ad-Hoc Network Using Two Metaheuristic Algorithms
2022
Science Journal of University of Zakho
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In this paper two algorithms were used together (Harris Hawks optimization algorithm (HHO) and Artificial Bee Colony algorithm (ABC)), taking into account the best parameters such as (the amount of free ...
speed of nodes, node degree, and the quality of link connection) to improve the results compared to the rest of the articles and HIR. the simulation results indicated that the methodology improves other algorithms ...
Because in both methods, two meta-heuristic algorithms are used for clustering and selection of clustered nodes as well as routing between nodes, and since meta-heuristic algorithms have a long execution ...
doi:10.25271/sjuoz.2022.10.2.878
doaj:6a046ac6eb864a2c8e4805615348add1
fatcat:rhubrrvenrdkpn2y63gkbxz6mm
Solving School Bus Routing Problem using Genetic Algorithm-based Model
2018
International Journal of Intelligent Systems and Applications
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One of such methods used in solving school bus routing problems is meta-heuristic method which has proven better results in terms of optimal solution and reduced time complexity. ...
The algorithm is implemented in C# programming language and tested using secondary data obtained from Ondo State Free-School Bus Shuttle Scheme, Akure, Nigeria. ...
The result shows that hybrid genetic algorithm for VRP is cost-effective and very competitive when compared to the best-known VRP meta-heuristics. ...
doi:10.5815/ijisa.2018.03.06
fatcat:45fpgj75q5fmvgkccofsz3kblm
A Survey of Controller Placement Problem in Software Defined Networks
[article]
2019
arXiv
pre-print
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As finding these optimal fronts is known to be NP-hard, the strategy is thus to find an approximation using heuristics or evolutionary (meta-heuristic) algorithms. ...
[116] Linear programming Computed the number of controllers that need to be deployed using PSO based meta-heuristic algorithm. ...
arXiv:1905.04649v1
fatcat:cqu3jm5ct5fdlmrv5zeicdhmie
A GRASP-based network re-optimization strategy for improving RWA in multi-constrained optical transport infrastructures
2010
Computer Communications
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We propose an efficient re-optimization technique based on a GRASP meta-heuristic. ...
Our work is focused on a hybrid online-offline scenario: connections are ordinarily routed dynamically using one of the available algorithms for online routing, but occasionally, when reorganization of ...
GRASP meta-heuristic may be customized to solve any problem for which simple construction and local search algorithms are available. ...
doi:10.1016/j.comcom.2010.05.003
fatcat:bkzxql6qijaldbs2tbvn5k5lya
Optimizing quantum heuristics with meta-learning
[article]
2019
arXiv
pre-print
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Variational quantum algorithms, a class of quantum heuristics, are promising candidates for the demonstration of useful quantum computation. ...
Here, we evaluate the optimization of quantum heuristics with an existing class of techniques called 'meta-learners'. ...
We also appreciate support from the AFRL Information Directorate under grant F4HBKC4162G001 and the Office of the Director of National Intelligence (ODNI) and the Intelligence Advanced Research Projects ...
arXiv:1908.03185v1
fatcat:o6ps4i2xgvgxnnzpmghiwvkn2u
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