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Energy-efficient clustering algorithm in underwater sensor networks based on Fuzzy C means and Moth-flame optimization method

Wang Fei, Bai Hexiang, Li Deyu, Wang Jianjun
2020 IEEE Access  
The results clearly show the significant impact of FCMMFO on energy-efficiency in UWSN. INDEX TERMS UWSN, clustering algorithm, fuzzy C means, moth-flame optimization.  ...  This paper proposes a novel hybrid clustering method based on fuzzy c means (FCM) and moth-flame optimization method (MFO) to improve the performance of the network(FCMMFO).  ...  The literature [17] used fuzzy clustering to join sensors in the network and the PSO algorithm to estimate the initial value of cluster heads.  ... 
doi:10.1109/access.2020.2997066 fatcat:dgx4dhakpjdbxhp2druyiubidq

Secure Routing using Multi-Objective Trust Aware Hybrid Optimization for Wireless Sensor Networks

2022 International Journal of Intelligent Engineering and Systems  
Nowadays, energy optimization and data security are considered important security challenges while designing the network topology of Wireless Sensor Networks (WSNs).  ...  whale optimization algorithm (GU-WOA) are used to evaluate the effectiveness of the MOTAHO method.  ...  Since the MOTAHO is the integration of the moth flame and chicken swarm optimization (CSO). Moth flame is generally a population-based optimization algorithm and it mimics the actions of the moths.  ... 
doi:10.22266/ijies2022.0228.49 fatcat:naeobvkw4vgkhabqykku62ttjq

Adaptive Node Clustering for Underwater Sensor Networks

Muhammad Fahad Khan, Muqaddas Bibi, Farhan Aadil, Jong-Weon Lee
2021 Sensors  
In this paper, we proposed a sensor node clustering technique for UWSNs named as adaptive node clustering technique (ANC-UWSNs).  ...  The proposed methodology correlates with other algorithms, for example the ant colony optimizer (ACO), comprehensive learning particle swarm optimizer (CLPSO), gray wolf optimizer (GWO) and moth flame  ...  It uses moth flame optimizer (MFO) which performs optimized clustering in cost effective way.  ... 
doi:10.3390/s21134514 pmid:34209456 fatcat:fdnbraob5fg7vmg7yu4caypuhm

A Controllable RSU and Vampire Moth to Support the Cluster Stability in VANET

Ronald Adrian, Selo Sulistyo, I Wayan Mustika, Sahirul Alam
2021 International Journal of Computer Networks & Communications  
In the previous research, the algorithm used for this process is based on moth flame optimization.  ...  Furthermore, the flame at the destination moth is created dynamically to approach the real conditions in VANET.  ...  ACKNOWLEDGEMENTS The research is funded by the RTA program in 2020 from the Research Directorate of Universitas Gadjah Mada.  ... 
doi:10.5121/ijcnc.2021.13305 fatcat:2pwxdytpgfc47ndns3gafgzv7a

DAMFO-Based Optimal Path Selection and Data Aggregation in WSN

S. Sudha Mercy, J. M. Mathana, J. S. Leena Jasmine
2022 Intelligent Automation and Soft Computing  
Wireless Sensor Network (WSN) encompasses several tiny devices termed as Sensor Nodes (SN) that have restriction in resources with lower energy, memory, together with computation.  ...  The Pompeiu Distance-centered Fuzzy C-Means (PDFCM) is employed for Cluster Formation (CF) in addition to Cluster Head Selection (CHS) and then DAMFO algorithm chooses the optimal path to gather the data  ...  This work proposed diversity centric adaptive moth flame optimization for OPS and DA in WSN.  ... 
doi:10.32604/iasc.2022.021068 fatcat:dvnlr3gdlnc2zm4nf3svp5q5se

Secure and load balanced routing protocol in wireless sensor network for disaster management

U Palani, G Amuthavalli, V Alamelumangai
2020 IET Information Security  
The proposed protocol consists of a logical clustering technique and an efficient key management system. The improved moth-flame optimisation algorithm is used to compute the balanced clusters.  ...  The authors propose a secure, load-balanced routing (SLBR) protocol using wireless sensor networks for disaster management.  ...  It is used for transmitting multimedia data streams in wireless multimedia sensor networks.  ... 
doi:10.1049/iet-ifs.2018.5057 fatcat:c3nowk5my5f5no5wdo6xvbwxcy

Energy Efficient Clustering Protocol for FANETS Using Moth Flame Optimization

Salil Bharany, Sandeep Sharma, Surbhi Bhatia, Mohammad Khalid Imam Rahmani, Mohammed Shuaib, Saima Anwar Lashari
2022 Sustainability  
Evolutionary algorithm-based clustering techniques, such as moth flame optimization, and ant colony optimization, can be used to solve these kinds of problems with routes.  ...  This paper employs a moth flame optimization algorithm for network building and node deployment. Then, we employ a variation of the K-Means Density clustering approach to choosing the cluster head.  ...  In addition, these ideas are based on the nodes' mobility. Peer et al. [23] discussed the routing method using the fuzziness in wireless multi-hop networks. Nadeem et al.  ... 
doi:10.3390/su14106159 fatcat:cu3vastrgncmfiag23ijmzsy34

Chaotic Search-and-Rescue-Optimization-Based Multi-Hop Data Transmission Protocol for Underwater Wireless Sensor Networks

Durairaj Anuradha, Neelakandan Subramani, Osamah Ibrahim Khalaf, Youseef Alotaibi, Saleh Alghamdi, Manjula Rajagopal
2022 Sensors  
routing protocol (EECRP), the fuzzy C-means and mothflame optimization (FCMMFO), the fuzzy scheme and particle swarm optimization (FBCPSO), the energy-efficient grid routing based on 3D cubes (EGRC),  ...  Underwater wireless sensor networks (UWSNs) have applications in several fields, such as disaster management, underwater navigation, and environment monitoring.  ...  The described approach makes use of a moth-flame optimizer (MFO) to calculate the near-optimal number of clusters that are required for routing to be effective.  ... 
doi:10.3390/s22082867 pmid:35458850 pmcid:PMC9028294 fatcat:idegqyii2neldhtstproz4l4ge

Deep Neural Glow Worm Swarm Optimized Soft C-Means Clustering for Energy Aware Route Discovery and Data Gathering in WSN

Sridhar Ramaiah, Global Academy of Technology, Guruprasad Nagraj, Global Academy of Technology
2021 International Journal of Intelligent Engineering and Systems  
Few research works have been designed to choose the best cluster head in wireless network using different optimization techniques.  ...  Cluster head selection enacts a prominent role in Wireless Sensor Network to optimize the energy usage during the data collection.  ...  A secure and energy aware clustering was performed in [11] with help of reliable moth flame optimization and genetic algorithm. However, optimal cluster head selection was not considered.  ... 
doi:10.22266/ijies2021.0228.08 fatcat:akbvq344qnbdzfetfdx77uq5h4

Optimized Routing Protocols- Enhancement in Mobile Adhoc Network

Priyanka Thakur, Sukhpreet Kaur
2021 CGC International Journal of Contemporary Technology and Research  
Because routing is the primary function of wireless networks, routing protocol design is critical in Adhoc networks.  ...  Mobile Adhoc Networks (MANET) is a fast-growing networking architecture used in emergency, disaster, and tactical operations applications.  ...  Garaaghaji and Alfi [35] used a fuzzy logic (FL) method, specifically the fuzzy hierarchical algorithm, to create an optimal allocation strategy in wireless networks.  ... 
doi:10.46860/cgcijctr.2021.12.31.253 fatcat:cxqacnm4fbcm5j37fpljvrqw3e

Load Balanced Node Clustering scheme using Improved Memetic Algorithm based Meta-heuristic Technique for Wireless Sensor Network

Vrajesh Kumar Chawra, Govind P. Gupta
2020 Procedia Computer Science  
In Wireless Sensor Network (WSN), the formation of the load-balanced clusters of the sensor nodes is very burning research issue.  ...  Abstract In Wireless Sensor Network (WSN), the formation of the load-balanced clusters of the sensor nodes is very burning research issue.  ...  In [13] , Moth Flame Optimization (MFO) is used for selection of the least number of CHs and for energy minimization and load balancing of selected CHs again MFO is applied.  ... 
doi:10.1016/j.procs.2020.03.256 fatcat:dtbfg4je6vhr7f4mdd5gjhtxgy

Paper Titles

2020 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)  
Discrete Moth-flame Optimization For Digital Forensic Audio Analysis Using Support Vector Machine Speaker Recognition Using Mel Frequency Cepstral Coefficient and Self-Organising Fuzzy Logic Speech Emotion  ...  Sensor Node-less Area Using A Genetic Algorithm for Wireless Sensor Network Development and Implementation of Kalman Filter for IoT Sensors: Towards a Better Precision Agriculture Development of Smart  ... 
doi:10.1109/isriti51436.2020.9315349 fatcat:7lctjs3x45apfgec42ra4u7l2e

Soft computing and intelligent systems: Techniques and applications

Sabu M. Thampi, El-Sayed M. El-Alfy, Ljiljana Trajkovic
2020 Journal of Intelligent & Fuzzy Systems  
The 232 approach in [36] applies unsupervised machine learn-233 ing techniques based on fuzzy c-means++ clustering 234 algorithm for designing routing protocol in wireless 235 sensor networks with low  ...  In [37], the authors 240 propose to optimize the length of the mobile sink's 241 traveling path to reduce the delay during data gath-242 ering in large-scale wireless sensor networks.  ... 
doi:10.3233/jifs-179700 fatcat:tgsh26r4hne5rdvtuqcajchnee

Ant Lion Optimizer based Clustering Algorithm for Wireless Body Area Networks in Livestock Industry

Fawad Saleem, Muhammad Nadeem Majeed, Jawaid Iqbal, Abdul Waheed, Abdul Rauf, Mahdi Zareei, Ehab Mahmoud Mohamed
2021 IEEE Access  
[21] suggested a clustering algorithm based on Ant Colony Optimization (ACO) for wireless sensors network having a mobile sink.  ...  [33] addressed the routing and clustering problems in wireless sensor networks through optimization methods.  ... 
doi:10.1109/access.2021.3104643 fatcat:bskeeilhfrajjprnenzrt7eay4

Modified Optimization for Efficient Cluster-based Routing Protocol in Wireless Sensor Network

Marwah Mohammad Almasri, Abrar Mohammed Alajlan
2022 Intelligent Automation and Soft Computing  
Wireless Sensor Networks (WSN) comprise numerous sensor nodes for monitoring specific areas. Great deals of efforts have been achieved to obtain effective routing approaches using clustering methods.  ...  an optimal cluster head in every cluster.  ...  An energy-efficient cluster head selection in wireless sensor networks for lifetime enhancement using hybrid grey wolf optimization algorithm based sunflower optimization algorithm was demonstrated by  ... 
doi:10.32604/iasc.2022.023240 fatcat:qmgsdnt4nzddfafturi3l54wrm
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