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1

Tariq, Rehan, Zeshan Iqbal, and Farhan Aadil. "IMOC: Optimization Technique for Drone-Assisted VANET (DAV) Based on Moth Flame Optimization." Wireless Communications and Mobile Computing 2020 (November 7, 2020): 1–29. http://dx.doi.org/10.1155/2020/8860646.

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Technology advancement in the field of vehicular ad hoc networks (VANETs) improves smart transportation along with its many other applications. Routing in VANETs is difficult as compared to mobile ad hoc networks (MANETs); topological constraints such as high mobility, node density, and frequent path failure make the VANET routing more challenging. To scale complex routing problems, where static and dynamic routings do not work well, AI-based clustering techniques are introduced. Evolutionary algorithm-based clustering techniques are used to solve such routing problems; moth flame optimization
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Correa, Blanca Alicia, Laura Ospina, and Roberto Carlos Hincapié. "Survey of clustering techniques for mobile ad hoc networks." Revista Facultad de Ingeniería Universidad de Antioquia, no. 41 (March 31, 2014): 145–61. http://dx.doi.org/10.17533/udea.redin.19022.

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Clustering methods allow fast connection and also better routing and topology management of mobile ad hoc networks (MANET). In this paper a survey of clustering techniques for MANET is presented and some preliminary concepts for designing clustering algorithms are introduced. These concepts relate to network topology, routing schemes, graph partitioning and mobility algorithms. In addition, some of the most popular clustering techniques, such as Lowest-ID heuristic, Highest degree heuristic, DMAC (distributed mobility-adaptive clustering), and WCA (weighted clustering algorithm), among other t
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González Vargas, Guillermo, and Felipe González Aristizábal. "Metaheuristics applied to vehicle routing. A case study. Part 3: Genetic Clustering and Tabu Routing." Ingeniería e Investigación 27, no. 2 (2007): 106–13. http://dx.doi.org/10.15446/ing.investig.v27n2.14838.

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This paper presents hybrid meta-heuristics called Genetic Clustering and Tabu Routing for solving a vehicle routing problem using two phases methodology: first clustering and then routing. The results are compared with those obtained using meta-heuristics and heuristic techniques presented in previous papers. Genetic clustering and Tabu routing average results were 23% and 9.1% better, respectively.
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AWASTHI, PRACHI, and DR JUGNESH KUMAR. "INVESTIGATION AND SIMULATION OF ENERGY-SAVING METHODS FOR WIRELESS SENSOR NETWORKS." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–9. https://doi.org/10.55041/isjem02764.

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The expeditious advances in the field of networking and communication technologies, have made wireless sensor networks (WSNs) a very important technology of recent times. The range of applications in which WSN is used has only broadened over the years. Since the sensor nodes are battery operated and they are generally deployed in a harsh environment, therefore replenishment or replacement of sensor nodes is almost impossible. Hence design of energy efficient techniques has remained as the most important challenge for researchers. A sensor node consumes maximum energy in communication i.e. tran
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Jadoon, Rab Nawaz, WuYang Zhou, Iftikhar Ahmed Khan, Muhammad Amir Khan, Shahbaz Akhtar Abid, and Nauman Ali Khan. "Performance Evaluation of Zone-Based Routing with Hierarchical Routing in Wireless Sensor Networks." Wireless Communications and Mobile Computing 2019 (October 13, 2019): 1–10. http://dx.doi.org/10.1155/2019/7152858.

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Routing remains a most challenging task in sensor networks because of constrained resources like battery power, processing, and memory. Many energy efficiency techniques for the sensor networks have been proposed, among which hierarchical routing is considered the most energy-efficient and extended network lifetime technique. This technique has a lesser number of transmissions in the network. On the contrary, zone-based routing claims lesser control and routing overhead on the overall network lifetime. In this research, a simulation-based comparison of zone-based routing with static clustering
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Bharany, Salil, Sandeep Sharma, Surbhi Bhatia, Mohammad Khalid Imam Rahmani, Mohammed Shuaib, and Saima Anwar Lashari. "Energy Efficient Clustering Protocol for FANETS Using Moth Flame Optimization." Sustainability 14, no. 10 (2022): 6159. http://dx.doi.org/10.3390/su14106159.

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FANET (flying ad-hoc networks) is currently a trending research topic. Unmanned aerial vehicles (UAVs) have two significant challenges: short flight times and inefficient routing due to low battery power and high mobility. Due to these topological restrictions, FANETS routing is considered more complicated than MANETs or VANETs. Clustering approaches based on artificial intelligence (AI) approaches can be used to solve complex routing issues when static and dynamic routings fail. Evolutionary algorithm-based clustering techniques, such as moth flame optimization, and ant colony optimization, c
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Susila, S. G., and J. Arputhavijayaselvi. "Multipart Layer Node Deployment and Computational Technique with Finest Cluster Head Selection for Network Lifetime Enhancement." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 6642–48. http://dx.doi.org/10.1166/jctn.2016.5609.

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The continual research and development in wireless sensor networks, power is most vital resource because each sensor node has limited battery power. Numerous clustering concept routing protocols have been developed to balance and enhance lifetime of the sensor nodes in wireless sensor networks. Available clustering routing protocols are select cluster heads periodically and they considered only how can select cluster heads energy-efficiently and the most excellent selection of cluster heads, without considering energy-efficient period of the cluster heads replacement. Herein paper, it is emplo
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D, Rajesh, and G. S. Rajanna. "Fuzzy clustering and energy resourceful routing protocol (FCER2P) for smart dust." BOHR International Journal of Smart Computing and Information Technology 4 (2023): 26–33. http://dx.doi.org/10.54646/bijscit.2023.22.

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Sensor nodes in smart dust are used to track and identify data that is being transferred to a sink. The accessibility of node energy poses a significant challenge for smart dust and may have an impact on the long-term viability of the network. As a result, constructing smart dust must take into account the need for algorithms and techniques that enable the most use of scarce resources, especially energy resources. For instance, routing algorithms are distinctive algorithms because they have a clear and direct connection with network longevity and energy. The offered routing techniques use clus
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D., Rajesh, and Rajanna G. S. "Fuzzy clustering and energy resourceful routing protocol (FCER2P) for smart dust." BOHR International Journal of Smart Computing and Information Technology 4 (2020): 26–33. http://dx.doi.org/10.54646/bijscit.22.

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Sensor nodes in smart dust are used to track and identify data that is being transferred to a sink. The accessibility of node energy poses a significant challenge for smart dust and may have an impact on the long-term viability of the network. As a result, constructing smart dust must take into account the need for algorithms and techniques that enable the most use of scarce resources, especially energy resources. For instance, routing algorithms are distinctive algorithms because they have a clear and direct connection with network longevity and energy. The offered routing techniques use clus
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10

D, Rajesh, and S. Rajanna G. "Fuzzy clustering and energy resourceful routing protocol (FCER2P) for smart dust." BOHR International Journal of Smart Computing and Information Technology 3, no. 1 (2022): 1–8. http://dx.doi.org/10.54646/bijscit.2022.21.

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Sensor nodes in smart dust are used to track and identify data that is being transferred to a sink. The accessibility of node energy poses a significant challenge for smart dust and may have an impact on the long-term viability of the network. As a result, constructing smart dust must take into account the need for algorithms and techniques that enable the most use of scarce resources, especially energy resources. For instance, routing algorithms are distinctive algorithms because they have a clear and direct connection with network longevity and energy. The offered routing techniques use clus
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11

Reehanaparveen, M. "RESEARCH INTO AND ASSESSMENT OF CLUSTERING-BASED ROUTING TECHNIQUES FOR MANETS." international journal of advanced research in computer science 15, no. 5 (2024): 66–73. http://dx.doi.org/10.26483/ijarcs.v15i5.7121.

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Wireless Sensor Network (WSN) plays a crucial role in the current infrastructure of the Internet of Things (IoT) by enabling the continuous collection of data across various applications. One of the primary challenges in WSNs is effectively managing energy to prolong its lifespan while maintaining optimal performance. Therefore, there is a need for the synthesis of clustering and routing protocol as a method to achieve energy balance and enhance the lifespan of WSNs. By aggregating and processing data from a large number of sensor nodes, clustering techniques can significantly cut down on ener
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George, Alan, and Deepa Jose. "Comparative Anlysis of Clustering Techniques for Various Models of Node Deployment Strategies." Oriental journal of computer science and technology 10, no. 1 (2017): 232–37. http://dx.doi.org/10.13005/ojcst/10.01.32.

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Energy efficiency has always remained a pressing matter in the world of Wireless Sensor Networks. Irrespective of the number of routing protocols that exist for Wireless Sensor Networks, only a handful can be named as efficient. Yet above all these routing protocols stands the emblematic one, the LEACH protocol. This research work is aimed at bringing forth a new routing strategy based on the LEACH protocol, which aims at improving the energy efficiency in Wireless Sensor Networks and applying the given clustering technique, in randomly deployed and fixed sensor network simulation environment
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Akhand, M. A. H., Tanzima Sultatana, M. I. R. Shuvo, and Al-Mahmud Al-Mahmud. "Constructive and Clustering Methods to Solve Capacitated Vehicle Routing Problem." Oriental journal of computer science and technology 10, no. 3 (2017): 549–62. http://dx.doi.org/10.13005/ojcst/10.03.02.

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Vehicle Routing Problem (VRP) is a real life constraint satisfaction problem to find minimal travel distances of vehicles to serve customers. Capacitated VRP (CVRP) is the simplest form of VRP considering vehicle capacity constraint. Constructive and clustering are the two popular approaches to solve CVRP. A constructive approach creates routes and attempts to minimize the cost at the same time. Clarke and Wright’s Savings algorithm is a popular constructive method based on savings heuristic. On the other hand, a clustering based method first assigns nodes into vehicle wise cluster and then ge
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Fallo, Kristoforus, and Budiman Baso. "Analisis Perbandingan Teknik Pemilihan Cluster Head Pada Wireless Sensor Network Berbasis Clustering Menggunakan Algoritma Routing Protocol LEACH dan G-LEACH." Journal of Information and Technology 3, no. 1 (2023): 1–5. http://dx.doi.org/10.32938/jitu.v3i1.3795.

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Wireless Sensor Network (WSN) is a series of wireless networks consisting of several nodes in a limited area. Low Energy Adaptive Clustering Hierarchy (LEACH) and Grid-Based Low Energy Adaptive Clustering Hierarchy (G-LEACH) methods are clustering methods used to collet data by clustering nodes in the WSN area. The clustering process for both methods is the same, namely by select node as the Cluster head (CH) whose job is to collet data from other nodes to the sink. The selection of CH is carried out in each round by taking into account the probability formula used and the largest the remainin
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15

Sourlas, Vasilis, Ioannis Psaras, Lorenzo Saino, and George Pavlou. "Efficient Hash-routing and Domain Clustering Techniques for Information-Centric Networks." Computer Networks 103 (July 2016): 67–83. http://dx.doi.org/10.1016/j.comnet.2016.04.001.

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16

Ahmad, Iman Ameer, Muna Mohammed Jawad Al-Nayar, and Ali M. Mahmood. "Investigation of Energy Efficient Clustering Algorithms in WSNs: A Review." Mathematical Modelling of Engineering Problems 9, no. 6 (2022): 1693–703. http://dx.doi.org/10.18280/mmep.090631.

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In recent years, Wireless Sensor Networks (WSNs) are attracting more attention in many fields as they are extensively used in a wide range of applications, such as environment monitoring, the Internet of Things, industrial operation control, electric distribution, and the oil industry. One of the major concerns in these networks is the limited energy sources. Clustering and routing algorithms represent one of the critical issues that directly contribute to power consumption in WSNs. Therefore, optimization techniques and routing protocols for such networks have to be studied and developed. Thi
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Perumal, V., and K. Meenakshi Sundaram. "An energy efficient based hybrid clustering (EEBHC) approaches in wireless sensor network." International Journal of Engineering & Technology 7, no. 2.31 (2018): 150. http://dx.doi.org/10.14419/ijet.v7i2.31.13429.

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Recently, much amount of research work has been carried out to improve the network lifespan in the Wireless Sensor Network (WSN) using Energy consumption process. In our proposed hierarchical based Hybrid clustering approaches has been designed, so as to limit the network traffic towards the Base Station. It reduced energy in the primary role of data transmission, reception, sensing and aggregation. To collect the data in the surrounding information based on hybrid clustering techniques. In this techniques are combination of equal and unequal Clustering. Even though equal and unequal clusterin
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18

Gao, Lu, Zhong Min Li, and Jing Jing Wu. "A Survey on Clustering and Routing on LEACH for Wireless Sensor Network." Applied Mechanics and Materials 336-338 (July 2013): 248–52. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.248.

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In recent years, Wireless Sensor Networks (WSNs) have been promising approaches for a variety of application monitoring and capturing the required data from the environment. Due to the restricted communication range and high density of sensor nodes, routing in WSNs has been considered an important field of research over the past decade. The most popular protocol for clustering in WSNs is Low Energy Adaptive Clustering Hierarchy (LEACH) which is based on adaptive clustering technique. The factors affecting LEACH efficiency include Cluster Head (CH), topology structure and routing algorithm. Thi
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Rubeena, Fathima, and Raghavendra Patidar. "Routing and clustering based energy optimization techniques in 5G networks for improving the performance and lifetime." Journal of Autonomous Intelligence 7, no. 5 (2024): 1134. http://dx.doi.org/10.32629/jai.v7i5.1134.

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<p>The 5G networks are the integral components of Wireless sensor networks also known as WSNs, providing critical data collection and monitoring capabilities. However, the limited energy resources of sensor nodes pose a significant challenge in maintaining the network’s efficiency and longevity. To address this challenge, routing and clustering techniques have been extensively studied and employed to optimize energy consumption in WSNs. In the context of 5G networks, these techniques are tailored to improve the lifetime and overall performance of the network. Routing and clustering techn
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Wang, Li Fu, Jian Ding, and Zhi Kong. "A New Clustering Routing Algorithm for WSN Based on PSO." Advanced Materials Research 850-851 (December 2013): 689–92. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.689.

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A wireless sensor network (WSN) consists of spatially distributed wireless sensor nodes. The node power constrains the development of WSN. Employing techniques of clustering can reduce energy consumption of wireless sensor nodes and prolong the network lifetime. Therefore, in the study a new clustering routing algorithm is presented. The clustering algorithm uses the double-layer sensor nodes to communicate. And in order to optimize power energy consumption for WSN node energy, PSO algorithm is employed to find cluster head in each layer. Simulation results show that the algorithm not only can
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Gummadi, Annapurna, and Dr K Raghava Rao. "EECLA: Clustering and Localization Techniques to Improve Energy Efficient Routing in Vehicle Tracking using Wireless Sensor Networks." International Journal of Engineering & Technology 7, no. 2.7 (2018): 926. http://dx.doi.org/10.14419/ijet.v7i2.7.11425.

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Abstract: The applications of wireless sensor networks became more usable in daily life. In spite of many proposed techniques and methods, energy efficient routing in WSN is still an open issue. In this paper we made an attempt to give one of the solution for this problem in vehicle tracking system based on the vehicle sensor nodes. We studied many existing works, were failed in handling location and energy efficient routing of vehicle tracking properly. We proposed an algorithm which handles clustering and location at time and improves the performance of the system. This algorithm uses the fu
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Чорна, O. С., П. Ю. Дідик, С. В. Тітов, and О. В. Тітова. "Usage of clustering algorithms for automating route planning in transportation routing tasks." Системи обробки інформації, no. 1 (176) (May 21, 2024): 115–23. http://dx.doi.org/10.30748/soi.2024.176.14.

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This scientific paper explores the comprehensive evaluation of clustering results applied to the geographical settlements of Ukraine. Diverse clustering methods, including K-means, DBSCAN, Agglomerative, Spectral, and Birch, were employed to analyze the spatial distribution of settlements. The assessment of each clustering method involved the application of relevant quality criteria, contributing to a thorough understanding of their performance in the context of Ukrainian settlements. The findings from this study offer valuable insights into the strengths and limitations of each clustering app
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Jubair, Ahmed Mahdi, Rosilah Hassan, Azana Hafizah Mohd Aman, et al. "Optimization of Clustering in Wireless Sensor Networks: Techniques and Protocols." Applied Sciences 11, no. 23 (2021): 11448. http://dx.doi.org/10.3390/app112311448.

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Recently, Wireless Sensor Network (WSN) technology has emerged extensively. This began with the deployment of small-scale WSNs and progressed to that of larger-scale and Internet of Things-based WSNs, focusing more on energy conservation. Network clustering is one of the ways to improve the energy efficiency of WSNs. Network clustering is a process of partitioning nodes into several clusters before selecting some nodes, which are called the Cluster Heads (CHs). The role of the regular nodes in a clustered WSN is to sense the environment and transmit the sensed data to the selected head node; t
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Asha, R. N., and S. Venkatesan. "Data-Mining Techniques for Routing Attacks in Wireless Sensor Networks." Journal of Network Security Computer Networks 5, no. 2 (2019): 17–23. https://doi.org/10.5281/zenodo.3340571.

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<em>As the Wireless sensor networks are getting complex, with the increasing deployment of wirelesssensor devices and networks, security becomes a critical challenge for sensor networks. In this work, a technique is proposed to detect anomaly nodes in WSN using association with rules and applying clustering algorithm to improve routing in wireless sensor networks. The scheme uses the ANN algorithm to extract traffic patterns from both routing table and network traffic packets and subsequently the K-means cluster algorithm adaptively generates a detection model. Through the combination of these
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Sun, Lina, Ning Huang, Yue Zhang, and Yannan Bai. "An improved global dynamic routing strategy for scale-free network with tunable clustering." Modern Physics Letters B 30, no. 22 (2016): 1650302. http://dx.doi.org/10.1142/s0217984916503024.

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An efficient routing strategy can deliver packets quickly to improve the network capacity. Node congestion and transmission path length are inevitable real-time factors for a good routing strategy. Existing dynamic global routing strategies only consider the congestion of neighbor nodes and the shortest path, which ignores other key nodes’ congestion on the path. With the development of detection methods and techniques, global traffic information is readily available and important for the routing choice. Reasonable use of this information can effectively improve the network routing. So, an imp
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Vasudha and Bhola Anoop. "Comprehensive Analysis on Cluster based Hierarchical Routing Protocols for Wireless Sensor Networks." Journal of Switching Hub 4, no. 1 (2019): 1–9. https://doi.org/10.5281/zenodo.2537434.

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<em>The most important key issuefor research purpose in WSN is the </em><em>Routing protocol. As indicated by organized network the routing protocols can be broadly described as flat and hierarchical routing protocol.The paper presents a few common progressive hierarchical routing protocols in detail and is investigated on their performance in network. Likewise, routing protocols share prominent role in terms of competence in WSN.Due to restrictions of resources in the sensors, it is difficult to plan an effective design of efficient routing protocol. The paper investigated Hierarchical based
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Azizi, Ridha. "Consumption of Energy and Routing Protocols in Wireless Sensor Network." Network Protocols and Algorithms 8, no. 3 (2016): 76. http://dx.doi.org/10.5296/npa.v8i3.10257.

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Extend the life of a wireless sensor network (WSN) is a fundamental challenge, as they have a limited supply. Multiple protocols and approaches have been proposed to minimize power consumption. Routing protocols and especially the hierarchical approach is one of the techniques used to minimize energy consumption and to improve the duration of network life. In this paper we propose a new approach to transfer and select the CH (Cluster Head). ART-LEACH (Advanced Routing Transfer- Low-Energy Adaptive Clustering Hierarchy) is a self-organizing protocol based on clustering. Our approach is to use e
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Mohanad Ali Meteab Al-Obaidi, Basim Jamil Ali, and Shajan M. Mahdi. "Survey broach for clustering in wireless sensors protocols and types." Global Journal of Engineering and Technology Advances 20, no. 3 (2024): 118–24. http://dx.doi.org/10.30574/gjeta.2024.20.3.0158.

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Sensor network applications have become part of everyday life applications. Creating such networks needs to meet its own constraints, such as: the energy consumption, scalability, fault tolerance, estimated cost, and the possibility of changing the network topography and the environment. In this work, a survey on hierarchical routing protocols in Wireless Sensor Networks (WSN) was performed. WSNs hold tiny nodes with ability of sensing, communications, and computation. Due to the power limitation of the sensor unit, several hierarchical routing protocols have been proposed for minimizing power
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V., Abilasha, and Karthikeyan A. "A Review of Wireless Sensor Networks with Cognitive Radio Techniques and Applications." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9s (2023): 402–15. http://dx.doi.org/10.17762/ijritcc.v11i9s.7436.

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The advent of Wireless Sensor Networks (WSNs) has inspired various sciences and telecommunication with its applications, there is a growing demand for robust methodologies that can ensure extended lifetime. Sensor nodes are small equipment which may hold less electrical energy and preserve it until they reach the destination of the network. The main concern is supposed to carry out sensor routing process along with transferring information. Choosing the best route for transmission in a sensor node is necessary to reach the destination and conserve energy. Clustering in the network is considere
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Ismail, Nahidah Hussein, and Basheer Yousif Mohsin. "Qualnet performances of grid-based clustering For WSN's routing protocols." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (2020): 448. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp448-456.

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&lt;span&gt;The wireless sensor networks (WSNs) believed to be as a hot research area due to their ranges in various fields of applications. Clustering is the more efficient techniques considered to resolve the problems of energy consumption in WSNs. The clustering has assured its effectiveness, specifically with high dynamic networks at which all nodes are represented in the clustering and all the data value can be collecting by sensor nodes with a cluster head (CH). The energy consumption as well as network traffic are balancing, the (CH) must be exchanged between all sensor nodes and the cl
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Nahidah, Hussein Ismail AL-Rekabi, and Yousif Mohsin AL-Sultani Basheer. "Qualnet performances of grid-based clustering for WSN's routing protocols." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 1 (2020): 448–56. https://doi.org/10.11591/ijeecs.v17.i1.pp448-456.

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The wireless sensor networks (WSNs) believed to be as a hot research area due to their ranges in various fields of applications. Clustering is the more efficient techniques considered to resolve the problems of energy consumption in WSNs. The clustering has assured its effectiveness, specifically with high dynamic networks at which all nodes are represented in the clustering and all the data value can be collecting by sensor nodes with a cluster head (CH). The energy consumption as well as network traffic are balancing, the (CH) must be exchanged between all sensor nodes and the clustering siz
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Xue, Xingsi, Ramalingam Shanmugam, SatheeshKumar Palanisamy, Osamah Ibrahim Khalaf, Dhanasekaran Selvaraj, and Ghaida Muttashar Abdulsahib. "A Hybrid Cross Layer with Harris-Hawk-Optimization-Based Efficient Routing for Wireless Sensor Networks." Symmetry 15, no. 2 (2023): 438. http://dx.doi.org/10.3390/sym15020438.

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Efficient clustering and routing is a main challenge in a wireless sensor network (WSN). To achieve better quality-of-service (QoS) performance, this work introduces k-medoids with improved artificial-bee-colony (K-IABC)-based energy-efficient clustering and the cross-layer-based Harris-hawks-optimization-algorithm (CL-HHO) routing protocol for WSN. To overcome the power-asymmetry problem in wireless sensor networks, a cross-layer-based optimal-routing solution is proposed. The goal of cross-layer routing algorithms is to decrease network-transmission delay and power consumption. This algorith
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Rajesh, D., and G. S. Rajanna. "Fuzzy clustering and energy resourceful routing protocol(FCER2P) for smart dust." BOHR International Journal of Smart Computing and Information Technology 3, no. 1 (2022): 15–22. http://dx.doi.org/10.54646/bijscit.2022.22.

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Sensor nodes in smart dust are used to track and identify data that is being transferred to a sink. The accessibilityof node energy poses a significant challenge for smart dust and may have an impact on the long-term viability ofthe network. As a result, constructing smart dust must take into account the need for algorithms and techniquesthat enable the most use of scarce resources, especially energy resources. For instance, routing algorithms aredistinctive algorithms because they have a clear and direct connection with network longevity and energy. Theoffered routing techniques use clusterin
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34

Kiran, W. S. "Performance Analysis of Multi-Layered Clustering Routing Protocol for Wireless Sensor Networks." March 2022 4, no. 1 (2022): 11–22. http://dx.doi.org/10.36548/jsws.2022.1.002.

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Wireless Sensor Networks are the most efficient networks today, and they are used in many industrial, medical, and security applications. The major drawback of the sensor network is energy consumption due to the smaller size of the sensor node. To overcome the energy consumption, this paper proposes a new routing protocol called Multi-Layered Clustering Routing Protocol. This proposed routing protocol contributes to network’s long life and energy efficiency. During data transmission between the source and destination, the clustering approach is used in each layer. This assists in identifying t
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Sindhwani, Manoj, Shippu Sachdeva, Krishan Arora, et al. "Soft Computing Techniques Aware Clustering-Based Routing Protocols in Vehicular Ad Hoc Networks: A Review." Applied Sciences 12, no. 15 (2022): 7922. http://dx.doi.org/10.3390/app12157922.

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The vehicular ad hoc network is an emerging area of technology that provides intelligent transportation systems with vast advantages and applications. Frequent disconnections between the vehicular nodes due to high-velocity vehicles impact network performance. This can be addressed by efficient clustering techniques. Several recent studies have attempted to develop optimal clustering algorithms to improve network performance metrics using soft computing techniques. Although sufficient work on soft computing techniques has been carried out, it seems less commonplace to find an analysis of vario
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Alsarhan, Yazeed, Nidal Turab, Hasan Abualese, and Hamza Abu Owida. "A review of energy-efficient clustering and routing techniques in wireless sensor networks: Key metrics and future trend." International Journal of Innovative Research and Scientific Studies 8, no. 4 (2025): 1250–59. https://doi.org/10.53894/ijirss.v8i4.8053.

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Wireless Sensor Networks (WSNs) have become a cornerstone of modern technology, especially in applications like the Internet of Things (IoT), where they provide scalable and effective solutions for communication and monitoring applications. However, the finite energy of sensor nodes introduces a significant challenge, as it directly influences the network's lifespan and reliability. Routing protocols and clustering solutions have emerged as ideal ways to address these energy concerns. By forming sensors into clusters and enhancing data transmission routes, these protocols reduce energy consump
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Haider, Syed Kamran, Ali Nauman, Muhammad Ali Jamshed, Aimin Jiang, Sahar Batool, and Sung Won Kim. "Internet of Drones: Routing Algorithms, Techniques and Challenges." Mathematics 10, no. 9 (2022): 1488. http://dx.doi.org/10.3390/math10091488.

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In the past decades, unmanned aerial vehicles (UAVs), also known as drones, have drawn more attention in the academic domain and exploration in the research fields of wireless sensor networks (WSNs). Moreover, applications of drones aid operations related to military support, agriculture industry, and smart Internet-of-Things (IoT). Currently, the use of drone based IoT, also known as Internet-of-Drones (IoD), and their design challenges and techniques are being probed by researchers around the globe. The placement of drones (nodes) is an important consideration in a IoD environment and is clo
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38

Raju, M., and K. P. Lochanambal. "An Insight on Clustering Protocols in Wireless Sensor Networks." Cybernetics and Information Technologies 22, no. 2 (2022): 66–85. http://dx.doi.org/10.2478/cait-2022-0017.

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Abstract Wireless Sensor Networks (WSN) have drawn the attention of many researchers as well as general users in recent years. Since WSN has a wide range of applications, including environmental monitoring, medical applications, and surveillance, their usage is not limited. As energy is a major constraint in WSN, it is necessary to employ techniques that reduce energy consumption in order to extend the network’s lifetime. Clustering, data aggregation, duty cycling, load balancing, and efficient routing are some of the techniques used to reduce energy consumption. In this paper, we discuss in d
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Et. al., P. Suman Prakash,. "Machine Learning-Based Optimized Hierarchical Routing Protocols for WSN Lifetime: A Review." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 289–307. http://dx.doi.org/10.17762/itii.v9i2.346.

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In Wireless Sensor Networks, network lifetime optimization has challenging and significant issue. Subsequently, most of the existing works delineate several factors to improve the network lifetime: by decreasing the amount of the consumption of energy, reducing latency, load balancing, clustering, efficient data aggregating and by minimizing the data transmission delays. This paper provides a review of recent techniques and presents a Machine Learning-based Optimized Hierarchical Routing Protocols for WSN Lifetime. Research has been done, and reviews have been studied to explore the energy man
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Abdullah, Manal, Ahlam Al-Thobaity, Afnan Bawazir, and Nouf Al-Harbe. "Energy Efficient Ensemble K-means and SVM for Wireless Sensor Network." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 9 (2013): 3034–42. http://dx.doi.org/10.24297/ijct.v11i9.3409.

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A wireless sensor network (WSN) consists of a large number of small sensors with limited energy. For many WSN applications, prolonged network lifetime is important requirements. There are different techniques have already been proposed to improve energy consumption rate such as clustering ,efficient routing , and data aggregation. In this paper, we present a novel technique using clustering .The different clustering algorithms also differ in their objectives. Sometimes Clustering suffers from more overlapping and redundancy data since sensor node's position is in a critical position does n
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Faizan Ullah, Muhammad, Junaid Imtiaz, and Khawaja Maqbool. "Enhanced Three Layer Hybrid Clustering Mechanism for Energy Efficient Routing in IoT." Sensors 19, no. 4 (2019): 829. http://dx.doi.org/10.3390/s19040829.

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Recently, different routing techniques were proposed for three layer clustering topology in Wireless Sensor Network (WSN) which outperform the basic two layer clustering hierarchy. The problem that remains in these approaches is the heavy control packet exchange between nodes after every round in order to choose efficient lower layer heads. Among these techniques is Hybrid Hierarchical Clustering Approach (HHCA), in which a distributed approach is proposed. According to HHCA, the upper layer heads are centrally selected by base station, while sensor nodes only have to select lower layer heads
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42

Saleh, Mohammed Mehdi, Ruslan Saad Abdulrahman, and Aymen Jaber Salman. "Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 2 (2021): 910. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp910-920.

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Wireless sensor networks are regarded as the most essential components of contemporary technologies since they are in charge of sensing and monitoring processes, which are the primary functions of these technologies. Because these nodes rely on an unchangeable battery and are randomly deployed in the environment, node energy management is the most essential issue to consider when designing algorithms to enhance the network's life. Clustering is a wireless sensor network (WSN) routing technique that has been implemented in order to extend network lifetime. Also, it is trendy to increase the ene
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Mahdi Azooz, Salam, Jaber H. Majeed, Raed Khalid Ibrahim, and Adnan Hussein Ali. "Implementation of energy-efficent routing protocol within real time clustering wireless sensor networks." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 2062–70. http://dx.doi.org/10.11591/eei.v11i4.3916.

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Wireless sensor networks (WSNs) are characterized by huge sensors that are having a limited amount of energy and specifying their behavior. Sensor networks combine distributed sensing, processing, and communication capabilities to create a powerful system. There are issues with the length of sensors connected to the network since features inside the sensors frequently require energy, which is likely to limit WSN performance. In creating WSN application architectures, extending network longevity, scalability, and load balancing are important factors. Using clustering techniques, the challenge o
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Mishra, Vikas Kumar, and Dr Sangeeta Shukla. "Clustering Algorithms and Optimization Strategies in WSNs: A State-of-the-Art Review." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 09 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem25879.

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Wireless Sensor Networks (WSNs) have emerged as a groundbreaking technology for collecting data on various physical phenomena, offering the potential to revolutionize infrastructure systems. The paper provides an exhaustive exploration of the existing literature on clustering algorithms within WSNs and the diverse optimization techniques proposed for cluster head selection. A comprehensive analysis of various routing protocols, mobility-based solutions, and energy conservation strategies is presented, shedding light on their respective strengths and limitations. The examination encompasses a w
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Zhemin, Ding, and Mounir Hamdi. "Routing and Wavelength Assignment in Multi-Segment WDM Optical Networks using Clustering Techniques." Photonic Network Communications 8, no. 1 (2004): 55–67. http://dx.doi.org/10.1023/b:pnet.0000031618.73418.a4.

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Khriji, Sabrine, Dhouha El Houssaini, Ines Kammoun, Kamel Besbes, and Olfa Kanoun. "Energy-Efficient Routing Algorithm Based on Localization and Clustering Techniques for Agricultural Applications." IEEE Aerospace and Electronic Systems Magazine 34, no. 3 (2019): 56–66. http://dx.doi.org/10.1109/maes.2019.2905947.

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Roy, Pranab, Hafizur Rahaman, and Parthasarathi Dasgupta. "Two-level clustering-based techniques for intelligent droplet routing in digital microfluidic biochips." Integration 45, no. 3 (2012): 316–30. http://dx.doi.org/10.1016/j.vlsi.2011.11.006.

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48

Subramani, Neelakandan, Prakash Mohan, Youseef Alotaibi, Saleh Alghamdi, and Osamah Ibrahim Khalaf. "An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks." Sensors 22, no. 2 (2022): 415. http://dx.doi.org/10.3390/s22020415.

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In recent years, the underwater wireless sensor network (UWSN) has received a significant interest among research communities for several applications, such as disaster management, water quality prediction, environmental observance, underwater navigation, etc. The UWSN comprises a massive number of sensors placed in rivers and oceans for observing the underwater environment. However, the underwater sensors are restricted to energy and it is tedious to recharge/replace batteries, resulting in energy efficiency being a major challenge. Clustering and multi-hop routing protocols are considered en
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Fathima Rubeena, Et al. "Revolutionizing 5G Networks: A Synergy of Routing, Clustering, and Energy Optimization for Unprecedented Performance and Extended Lifespan." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 3926–36. http://dx.doi.org/10.17762/ijritcc.v11i9.9719.

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The concept of revolutionizing 5G (Fifth Generation) networks through a synergy of routing, clustering, and energy optimization is indeed a promising approach to enhancing the performance and lifespan of wireless networks. Exciting changes will occur in the physical, digital, and biological worlds over the next ten years. Although the needs for Beyond 5G (B5G) are not yet fully understood, an effort has been made to stratify 5G progression and B5G. This work highlights the focus on revolutionizing 5G networks through the integration of routing, clustering, and energy optimization techniques. B
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50

Fathima Rubeena, Et al. "Revolutionizing 5G Networks: A Synergy of Routing, Clustering, and Energy Optimization for Unprecedented Performance and Extended Lifespan." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 528–37. http://dx.doi.org/10.17762/ijritcc.v11i10.8520.

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The concept of revolutionizing 5G (Fifth Generation) networks through a synergy of routing, clustering, and energy optimization is indeed a promising approach to enhancing the performance and lifespan of wireless networks. Exciting changes will occur in the physical, digital, and biological worlds over the next ten years. Although the needs for Beyond 5G (B5G) are not yet fully understood, an effort has been made to stratify 5G progression and B5G. This work highlights the focus on revolutionizing 5G networks through the integration of routing, clustering, and energy optimization techniques. B
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