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Wireless Sensor Networks: Network Life Time Enhancement using an improved Grey Wolf Optimization Algorithm
2022
Engineered Science
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In this paper, we have proposed an improved version of the grey wolf optimization (IGWO) algorithm to overcome the premature convergence of the basic GWO algorithm and it has been applied in optimizing ...
The proposed algorithm has been tested in terms of the number of rounds, number of operating nodes, number of transmissions, and energy levels used for communications. ...
[2] 1 Grey Wolf Optimization (GWO) algorithm GWO is a meta-heuristic algorithm inspired by the food searching behavior of grey wolves and it mimics the hunting mechanism and leadership hierarchy of grey ...
doi:10.30919/es8d717
fatcat:uludjygcdzhf3jwimi45kfyvlu
Improved RBF Network Intrusion Detection Model Based on Edge Computing with Multi-algorithm Fusion
2021
International Journal of Computers Communications & Control
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Then subtractive clustering algorithm(SCM) and grey wolf algorithm(GWO) are used to jointly optimize RBF neural network parameters to avoid falling into local optimum, reduce the calculation of model training ...
In this paper, an improved RBF network intrusion detection model based on multi-algorithm fusion is proposed. kernel principal component analysis (KPCA) is used to extract data dimension and simplify data ...
It is also suitable for network parameter optimization, such as Swarna, for intrusion detection system, DNN neural network parameters are optimized and adjusted by Grey Wolf algorithm, which reduces the ...
doi:10.15837/ijccc.2021.4.4232
fatcat:ufi5r66qk5bcpbczuq2kffiz4m
A New Energy-efficient Multi-hop Routing Protocol for Heterogeneous Wireless Sensor Networks
2021
International Journal of Advanced Computer Science and Applications
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Ming Gao and J. Zhao, An improved grey wolf optimization
algorithm, Springer,2019. ...
The sensor node's primary function is to detect data
that the proposed grey wolf optimizer with tabu Search from the environment and transmit it to the heterogeneous
Algorithm (GWO-TSA ...
doi:10.14569/ijacsa.2021.0121154
fatcat:zdcjxwxcmneifclfbolfuo3rru
Hybrid PSGWO Algorithm for Trust-Based Secure Routing in MANET
2019
Journal of Networking and Communication Systems (JNACS)
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The Particle Swarm-Grey Wolf Optimization Algorithm is the incorporation of Particle Swarm and Grey Wolf Optimization technique which takes over the faster global convergence. ...
In Mobile Ad Hoc Networks (MANETs), routing is considered an important issue because of the dynamic nature of the network. ...
Proposed AES-TPSGWO Protocol for Secure Communication By exploiting the proposed AES-TDCO method the routing starts and it depends on the chosen of the optimal routes and the data communication happening ...
doi:10.46253/jnacs.v2i3.a1
fatcat:ermhtvam2raidjv3qw2ln36esy
Intelligent Optimization of QoS in Wireless Sensor Networks Using Multiobjective Grey Wolf Optimization Algorithm
2022
Wireless Communications and Mobile Computing
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Therefore, we provided a multiobjective grey wolf optimization algorithm (QAMO-GWO) in order to optimize routing and improve QoS in WSNs. ...
The selection of cluster heads in each cluster is done using a multiobjective grey wolf optimization algorithm. ...
For the GWO algorithm, hunting (optimization) would be driven by α and β, and δ and ω wolves follow the above three wolves [23] . (2) Siege of Prey. As mentioned, grey wolves surround prey. ...
doi:10.1155/2022/5385502
fatcat:3g375eg4fja6lgv24xdwz6mhue
Minimizing Delay in Mobile Ad-Hoc Network Using Ingenious Grey Wolf Optimization Based Routing Protocol
2022
International Journal of Computer Networks And Applications
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Encircling and hunting characteristics of wolves are used in IGWORP to discover and utilize the route for data transmission. Standard network metrics are used in NS3 to evaluate IGWORP's performance. ...
Ingenious Grey Wolf Optimization-based Routing Protocol (IGWORP) is proposed in this paper to discover the most efficient path to a destination and reduce the amount of delay and energy spent. ...
Cross layers are used for enhancing communication using routing protocols. Better routes and reliable communication are improved for supporting data transmission. ...
doi:10.22247/ijcna/2022/212340
fatcat:i3byb6zujnh3rgibxdjcxpdd44
Application of Grey Wolf Optimization Algorithm: Recent Trends, Issues, and Possible Horizons
2021
GAZI UNIVERSITY JOURNAL OF SCIENCE
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This paper presents recent progress on Grey Wolf Optimization (GWO) algorithm, its variants and their applications, issues, and likely prospects. ...
Article Info Abstract The development of Grey Wolf Optimisation (GWO) Algorithm was motivated by the biological behaviours of swarm of wolves hunting for prey. ...
Hu, Pan and Chu [67] proposed an improved Binary Grey Wolf Optimizer that can be used for feature selection. The authors used five transfer functions improve the quality of their output. ...
doi:10.35378/gujs.820885
fatcat:3eucl76a2vbrfmsxrde3dh3w74
Energy-Efficient Cluster Head Selection in Wireless Sensor Networks Using an Improved Grey Wolf Optimization Algorithm
2023
Computers
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The dynamic formation of cluster heads and energy aware clustering schemes help in improving the lifetime of WSNs. ...
This data is processed as information and send to cloud servers through a base station, the challenge here is the consumption of minimum energy for processing and communication. ...
In this article, an improved version of the GWO algorithm is applied for an optimal CH selection in WSNs to minimize the energy levels used for computation and communication. ...
doi:10.3390/computers12020035
fatcat:bcomj7dlirhypfwx7nni6mm2su
Bio-Inspired Approaches for Energy-Efficient Localization and Clustering in UAV Networks for Monitoring Wildfires in Remote Areas
2021
IEEE Access
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In dynamic unmanned aerial vehicle (UAV) networks, localization and clustering are fundamental functions for cooperative control. ...
In this article, we propose bio-inspired localization (BIL) and clustering (BIC) schemes in UAV networks for wildfire detection and monitoring. ...
ACKNOWLEDGMENT The authors thank the editor and anonymous referees for their constructive comments for improving the quality of this article. ...
doi:10.1109/access.2021.3053605
fatcat:uvnwi5ug65gq7cy4lma5ohauzi
Taylor Based Grey Wolf Optimization Algorithm (TGWOA) For Energy Aware Secure Routing Protocol
2020
International Journal of Computer Networks And Applications
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Numerous clustering approaches developed for improving the energy of the WSN's as energy plays a significant role during data transmission in WSNs [6] . ...
The TGWOA proposed the combination of Taylor series with Grey Wolf Optimization (GWO) algorithm. ...
His main research work focuses on Computer Security, Genetic Algorithm, Steganography, Cryptography and Decision Support System. ...
doi:10.22247/ijcna/2020/196041
fatcat:5crcbzondfdcbj3p4piv4yyxmy
A Hybrid Optimization Algorithm and Shamir Secret Sharing Based Secure Data Transmission for IoT based WSN
2021
International Journal of Intelligent Engineering and Systems
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In this paper, the Hybrid Optimization Algorithm (HOA) based secure Cluster Head (CH) selection and routing path generation is obtained for secure data transmission. ...
The HOA is the combination of the Grey wolf optimization (GWO) and Moth Flame Optimization (MFO) whereas the fitness functions are trusted value, residual energy, distance and node degree. ...
algorithm The optimal sensor node as CH for each cluster is chosen using a hybrid GWO-MFO algorithm in this study. ...
doi:10.22266/ijies2021.1231.44
fatcat:txrlesamcbfmjfbjrhjjf6ja2q
Energy-Efficient Cluster based Routing for Hybrid Wireless Sensor Networks using Adaptive Hybrid Cuckoo Search and Grey Wolf Optimization Algorithm
2021
International Journal of Intelligent Engineering and Systems
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Inspired by the idea of position update of Grey Wolf Optimization (GWO) algorithm, this paper introduces the inertia weight w in the Lévy flight method of CS algorithm, and gives the new dynamic adjustment ...
Consequently, data transmission is one of the biggest reasons for energy depletion in HWSN. Clustering is one of the most effective techniques for energy efficient data transmission in HWSN. ...
Grey wolf optimization GWO is generally inspired by leadership and hunting behavior of the grey wolves. ...
doi:10.22266/ijies2021.1031.21
fatcat:sk55olpmlrdhrkwa7yrmodftwu
Reverse Path Nearby Cluster (Rpnc) Query Optimization using Trajectory Clustering With Ensemble Learning (Tcel) In Spatial Networks
2019
International Journal of Engineering and Advanced Technology
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Based on their highest distribution they are stored and they are scanned to minimum from maximum. Improved Weight based Grey Wolf Optimization Algorithm (IWGWOA) is used to compute these values. ...
In spatial network, optimal path planning in real time is an open problem. For complex queries, Query optimization is intensively used. ...
Improved weight based Grey Wolf Optimization Algorithm (IGWO). Depends on grey wolves nature, Grey wolf optimization algorithm (GWOA) is proposed. ...
doi:10.35940/ijeat.a1930.109119
fatcat:pryetlb3rvdblkz63kjkmkr2em
A multi‐objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm
2021
IET Communications
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This paper presents an energy-aware VM allocation method using the improved grey wolf optimization (IGWO) algorithm. Our key goals are to decrease both energy consumption and allocation time. ...
It aims to find a suitable location for VMs on physical machines (PMs) to attain predefined aims. So, the main purpose is to reduce energy consumption and improve resource utilization. ...
allocation using an improved ACO algorithm • Reducing communication cost over traffic-aware data center networks • Not evaluating VM algorithms with real trace data of the cloud platform López-Pires and ...
doi:10.1049/cmu2.12274
fatcat:nitxenf3lbgw7dxx5glrkbvxgq
Binary Grey Wolf Optimization based Topology Control for Wireless Sensor Networks
2019
IET Wireless Sensor Systems
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The proposed algorithm is compared with other TC algorithms. The result reduces a minimum of 10% of ANs and energy consumption by 6.84%. ...
It uses the active and inactive schedules of sensor nodes in binary format as well as introduces fitness function to minimise the number of active nodes (ANs) for achieving the target of lifetime expansion ...
An efficient and optimised TC algorithm plays a crucial role in data transmission and routeing while protecting connectivity and coverage. ...
doi:10.1049/iet-wss.2018.5169
fatcat:6av5oykszrfbpdtc4o6y6bzpgq
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