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Artykuły w czasopismach na temat „Secure Ant Colony Optimization”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Maheshwari, Somesh. "Secure Route Selection in Manet Using Ant Colony Optimization." American Journal of Networks and Communications 4, no. 3 (2015): 54. http://dx.doi.org/10.11648/j.ajnc.s.2015040301.19.

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Wang, Xueli. "Low-Energy Secure Routing Protocol for WSNs Based on Multiobjective Ant Colony Optimization Algorithm." Journal of Sensors 2021 (October 22, 2021): 1–9. http://dx.doi.org/10.1155/2021/7633054.

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As one of the three pillars of information technology, wireless sensor networks (WSNs) have been widely used in environmental detection, healthcare, military surveillance, industrial data sampling, and many other fields due to their unparalleled advantages in deployment cost, network power consumption, and versatility. The advent of the 5G standard and the era of Industry 4.0 have brought new opportunities for the development of wireless sensor networks. However, due to the limited power capacity of the sensor nodes themselves, the harsh deployment environment will bring a great difficulty to

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Ameen, Nabeena, Najumnissa Jamal, and L. Arun Raj. "Comparative analysis of energy based optimized dynamic source multipath routing protocol in WSNs." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 1 (2019): 441. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp441-455.

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<p>Wireless Sensor Network (WSN) has been considered to be a formula for overcoming various requirements like surveillance, health care, traffic surveillance and defense systems. As an aid to the demands for Wireless sensor network, research has been going on the efficient consumption of energy and secure communication areas for WSN. Here introducing Ant colony optimization based Optimized dynamic Secure multipath routing protocol (ODMRP) have improvised WSN in terms of energy efficiency, performance, strength and scalability. This paper proposed mechanism of Ant Colony Optimization base

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4

B, Vatchala, and G. Preethi. "Enhanced Ant Colony Optimization Based Secured Routing in Cloud Computing." International Journal of Science and Research (IJSR) 10, no. 7 (2021): 231–39. https://doi.org/10.21275/sr21616115833.

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Panda, Niranjan, and Pankajini Panda. "A secure and energy efficient ant routing algorithm." Intelligent Decision Technologies 14, no. 3 (2020): 325–36. http://dx.doi.org/10.3233/idt-190042.

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In Mobile Ad hoc Networks (MANETs), setting up an ideal and proficient route linking the conveying bodies is the essential objective of the routing protocols. But any assault during the routing stage may upset the communication, paralyzing the whole network. So, providing security in routing for a protected communication between nodes has become a prime concern. In the present study, we propose a Secure Energy Efficient Ant Routing Algorithm (SEEARA) based on Ant Colony Optimization (ACO) algorithm and cryptographic primitives that exercises on power control and secure routing between a pair o

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Pande, Suyog Vinayak, K. Nattarkannan, M. Rama Bai, et al. "Lightweight Artificial Intelligence for Secure Data Communication in Energy-Constrained Healthcare Devices." Computational Intelligence and Neuroscience 2022 (August 31, 2022): 1–9. http://dx.doi.org/10.1155/2022/7934582.

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Logistics is the transfer of goods from one place to another, mostly from the production house to the customers. A logistics network is a set of operations that involve designing, production, and marketing the goods. Cold-chain logistics are those that needed to be transported in a cold refrigeration right from the production house to the customer. A secured networking model is essential to handle the logistics networks. In this article, we are going to see an intelligent secured networking model to identify the optimal path for cold-chain logistics to hospitals. The optimal pathfinder is used

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Hevin Rajesh, D., and B. Paramasivan. "Cluster based secure authentication technique using ant colony optimization in wireless sensor networks." Journal of Intelligent & Fuzzy Systems 31, no. 1 (2016): 423–32. http://dx.doi.org/10.3233/ifs-162155.

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8

Saleem, Kashif, and Iftikhar Ahmad. "Ant Colony Optimization ACO Based Autonomous Secure Routing Protocol for Mobile Surveillance Systems." Drones 6, no. 11 (2022): 351. http://dx.doi.org/10.3390/drones6110351.

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Sensing plays a vital role in enabling smart cities. The mobile surveillance of different sectors, the retransmission of radio signals, and package delivery are the main applications conducted by unmanned vehicles in smart cities. Multiple unmanned vehicles or miniaturized real-time flying machines with onboard sensors, whether land- or air-based, communicate with each other to form a flying sensor network. Almost all of these machines are battery-operated. Therefore, power preservation is an extremely important factor to be taken into consideration. This paper proposes a power-aware biologica

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9

Djalal, Muhammad Ruswandi, and Herman HR. "Speed Control Series Dc Motor Using Ant Colony Optimization." Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) 20, no. 2 (2019): 105. http://dx.doi.org/10.30595/techno.v20i2.4531.

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Motor DC yang terhubung dengan seri atau shunt banyak digunakan dalam berbagai aplikasi. Karena memiliki torsi yang relatif tinggi untuk memikul beban dibandingkan dengan motor permanen magnet dengan ukuran yang sama. Motor permanen magnet bersifat linear sedangkan motor DC bersifat non linear. Karakteristik non linear dari motor DC seperti saturasi dan gesekan dapat menurunkan kinerja dari konvensional Kontrol. Algoritma Ant Coloni pada prinsipnya mencari sumber makanan berdasarkan jejak feromone yang kemudian secara berkelompok akan mengikuti jejak yang memiliki feromone yang terbesar. Denga

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10

Sun, Ziwen, Min Wei, Zhiwei Zhang, and Gang Qu. "Secure Routing Protocol based on Multi-objective Ant-colony-optimization for wireless sensor networks." Applied Soft Computing 77 (April 2019): 366–75. http://dx.doi.org/10.1016/j.asoc.2019.01.034.

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Gupta, Punit, Ujjwal Goyal, and Vaishali Verma. "Cost-Aware Ant Colony Optimization for Resource Allocation in Cloud Infrastructure." Recent Advances in Computer Science and Communications 13, no. 3 (2020): 326–35. http://dx.doi.org/10.2174/2213275912666190124101714.

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Background: Cloud Computing is a growing industry for secure and low cost pay per use resources. Efficient resource allocation is the challenging issue in cloud computing environment. Many task scheduling algorithms used to improve the performance of system. It includes ant colony, genetic algorithm & Round Robin improve the performance but these are not cost efficient at the same time. Objective: In early proven task scheduling algorithms network cost are not included but in this proposed ACO network overhead or cost is taken into consideration which thus improves the efficiency of the al

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12

Siyamtining Tyas, Yuliyani, and Widodo Prijodiprodjo. "Aplikasi Pencarian Rute Terbaik dengan Metode Ant Colony Optimazation (ACO)." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 7, no. 1 (2013): 55. http://dx.doi.org/10.22146/ijccs.3052.

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AbstrakPengawalan Lalu Lintas adalah suatu kegiatan penyelenggaran pengamanan bergerak di jalan dalam rangka melindungi keselamatan jiwa manusia, harta benda, kegiatan VVIP/VIP/ Protokol kenegaraan secara terus menerus selama perjalanan dari satu tempat ke tempat lain dengan menggunakan kendaraan bermotor sehingga kegiatan dapat berjalan aman, tertib dan lancar. Pengambilan keputusan rute jalan yang akan dilalui berdasarkan pertimbangan situasi jalan (jarak tempuh, banyak lubang, banyak tikungan dan kepadatan arus lalu lintas).Ant Colony Optimization (ACO) merupakan teknik probabilistik untuk

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13

Fallo, Diana Yanni. "PENCARIAN JALUR TERPENDEK MENGGUNAKAN ALGORITMA ANT COLONY OPTIMIZATION." Jurnal Pendidikan Teknologi Informasi (JUKANTI) 1, no. 1 (2018): 28–32. http://dx.doi.org/10.37792/jukanti.v1i1.8.

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Ant Colony Optimization (ACO) merupakan algoritma heuristic yang telah terbukti diterapkan ke sejumlah masalah Travelling Salesman Problem (TSP) dan mampu menemukan jalur terpendek dengan baik. Dari hasil uji coba yang dilakukan di temukan bahwa hasil jalur terpendek menggunakan ACO di temukan total waktu tempuh lebih cepat. ACO bekerja dengan sangat cepat dalam menemukan rute terpendek karena ACO tidak tergantung pada iterasi yang diberikan. Jika hasil nya telah di ketahui maka secara otomatis akan di tampilkan hasilnya.

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14

Vijaiprabhu, G., P. Pandia Rajammal, S. Rema Devi, and P. Karthika. "Secured Optimal Path to Identify the Networking Model using Cold Chain Logistics in Hospital Environment." IOP Conference Series: Earth and Environmental Science 1057, no. 1 (2022): 012005. http://dx.doi.org/10.1088/1755-1315/1057/1/012005.

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Abstract Logistics refers to moving commodities from one location to another, typically from a manufacturing facility to a client. A logistics network is a collection of activities that include product creation, production, and distribution. Chain of custody Logistics are items that must be carried chilled from the manufacturing facility to the customer. Because of work with logistics networks, a secure networking model is required. This post will look at an intelligent secured networking model for determining the best route for cold chain logistics to a hospital setting. The best and shortest

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15

Kaur, Supreet, and Vijay Kumar Joshi. "Secure clustering-based energy efficient protocol using hybrid soft computing." Modern Physics Letters B 34, no. 18 (2020): 2050203. http://dx.doi.org/10.1142/s0217984920502036.

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A hybrid protocol is proposed which utilizes secure clustering and hybrid soft computing to improve the network lifetime. Ant colony optimization (ACO) and Particle swam optimization (PSO) with crossover operator are used to design a hybrid soft computing-based inter-cluster data aggregation. Initially, cluster heads are selected based upon adaptive threshold function. Recommendation-based signatures are then assigned to every aggregated data. Then, tree-based data aggregation comes in action and collects sensing information directly from cluster heads by utilizing short distance obtained from

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16

Shankar, K., and E. Perumal. "ANT COLONY OPTIMIZATION BASED OPTIMAL STEGANOGRAPHY TECHNIQUE FOR SECRET IMAGE SHARING SCHEME." Advances in Mathematics: Scientific Journal 10, no. 1 (2021): 453–61. http://dx.doi.org/10.37418/amsj.10.1.45.

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Data hiding earlier to transmission remains as an essential process for reducing the security issues in the cloud based environment. Image encryption and steganography techniques verify the safety of secret data during the transmission over the Internet. This paper presents a new multiple secret share creation (SSC) with ant colony optimization (ACO) based image steganography (SSC-ACO) technique to achieve security over image transmission. Initially, SSC algorithm is applied to generate a set of different shares for the applied image. Then, the ACO algorithm based image steganography technique

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17

Desai, Dhwani, Hosam El-Ocla, and Surbhi Purohit. "Data Dissemination in VANETs Using Particle Swarm Optimization." Sensors 23, no. 4 (2023): 2124. http://dx.doi.org/10.3390/s23042124.

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A vehicular Ad-Hoc Network (VANET) is a type of Mobile Ad-Hoc Networks (MANETs) that uses wireless routers inside each vehicle to act as a node. The need for effective solutions to urban traffic congestion issues has increased recently due to the growing number of automobile connections in the car communications system. To ensure a high level of service and avoid unsafe situations brought on by congestion or a broadcast storm, data dissemination in a VANET network requires an effective approach. Effective multi-objective optimization methods are required to tackle this because of the implied c

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18

Pushpa Lakshmi, R., and A. Vincent Antony Kumar. "A fuzzy based secure QoS routing protocol using ant colony optimization for mobile Ad hoc network." Journal of Intelligent & Fuzzy Systems 27, no. 1 (2014): 317–29. http://dx.doi.org/10.3233/ifs-130999.

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Abdulrahman, Yadgar Sirwan. "Network Intrusion Detection using a Combination of Fuzzy Clustering and Ant Colony Algorithm." UHD Journal of Science and Technology 5, no. 2 (2021): 11–19. http://dx.doi.org/10.21928/uhdjst.v5n2y2021.pp11-19.

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As information technology grows, network security is a significant issue and challenge. The intrusion detection system (IDS) is known as the main component of a secure network. An IDS can be considered a set of tools to help identify and report abnormal activities in the network. In this study, we use data mining of a new framework using fuzzy tools and combine it with the ant colony optimization algorithm (ACOR) to overcome the shortcomings of the k-means clustering method and improve detection accuracy in IDSs. Introduced IDS. The ACOR algorithm is recognized as a fast and accurate meta-meth

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20

Dhende, Sandeep, and Suresh Shirbahadurkar. "MACO-DHKE Based Secure Data Transmission in MANETs." International journal of electrical and computer engineering systems 13, no. 4 (2022): 245–52. http://dx.doi.org/10.32985/ijeces.13.4.1.

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Mobile ad hoc networks (MANETs) are the self-sufficient nodes with their unique characteristics, such as open wireless mediums and self-motivated topology, which suffers from security weaknesses. Due to the complexity of the MANET security architecture, it is difficult to detect and prevent security issues in the wired networks. Hence, this paper proposes a secure and QoS-aware data transmission in the MANET that improves the efficiency of the transmission. The optimal route, which is the shortest possible path, is chosen using the modified ant colony optimization algorithm (MACO algorithm) an

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Gupta, Ankit, Anand Kumar, Ishrat Ali, Geetanjali ., and Uma Shankar. "Enhancement of Computer Network Communication Security Encryption System Based on Ant colony optimization Algorithm." International Research Journal of Computer Science 11, no. 10 (2024): 609–12. https://doi.org/10.26562/irjcs.2024.v1110.03.

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In the digital era, the exponential growth of computer networks has heightened the need for robust communication security to protect sensitive data from breaches and cyber attacks. This research explores the enhancement of network communication security by developing an encryption system inspired by the Ant Colony Optimization (ACO) algorithm. ACO, a bio-inspired met heuristic, is particularly effective in solving combinatorial optimization problems, making it well-suited for the dynamic and complex nature of cryptographic key generation and data encryption. This research contributes to the fi

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Rathee, Manisha, Sushil Kumar, Amir H. Gandomi, Kumar Dilip, Balamurugan Balusamy, and Rizwan Patan. "Ant Colony Optimization Based Quality of Service Aware Energy Balancing Secure Routing Algorithm for Wireless Sensor Networks." IEEE Transactions on Engineering Management 68, no. 1 (2021): 170–82. http://dx.doi.org/10.1109/tem.2019.2953889.

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Ankita, Yadav, and Arif Mohammad. "An Approach to Smart Parking Algorithm using ant Colony Optimization and Decision Tree Algorithm." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 12 (2021): 58–63. https://doi.org/10.35940/ijitee.J7607.10101221.

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This research is conducted in order to deal with the main problem of traffic congestion and road accidents that is basically caused because of the improper parking management. . Hence, it is important that cities have a well-managed parking system. In the past various researches has been done to design a suitable smart paring algorithm. However, each research had their own pros and cons. Our research leads to a smart algorithm that is secure and is convenient enough to develop a system that can be manage the available slots and can notify the users about the available parking slot beforehand t

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Yang, Xiaoqing. "A Quality of Service Routing Algorithm in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 13, no. 07 (2017): 47. http://dx.doi.org/10.3991/ijoe.v13i07.7280.

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<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">An Quality of Service(QOS) secure routing algorithm based on ant colony optimization is put forward to solve a variety of security problems in wireless sensor networks. The algorithm combines the ant colony optimization algorithm with the cr</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 'Times New Roman'; mso-far

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Katuri, Rayudu, Guduri Yesuratnam, and Askani Jayalaxmi. "BAT algorithm and Ant Colony Optimization based Optimal Reactive Power Dispatch to Improve Voltage Stability." European Journal of Engineering Research and Science 2, no. 6 (2017): 27. http://dx.doi.org/10.24018/ejers.2017.2.6.378.

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One of the important tasks of a power system engineer is to run the system in safe and reliable mode for secure operation with increase in loading. So, it is significant to perform voltage stability analysis by optimal reactive power dispatch with Artificial Intelligence (AI) techniques. This paper presents the application of Ant Colony Optimization (ACO) and BAT algorithms for Optimal Reactive Power Dispatch (ORPD) to enhance voltage stability. The proposed ACO and BAT algorithms are used to find the optimal settings of On-load Tap changing Transformers (OLTC), Generator excitation and Static

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Katuri, Rayudu, Guduri Yesuratnam, and Askani Jayalaxmi. "BAT algorithm and Ant Colony Optimization based Optimal Reactive Power Dispatch to Improve Voltage Stability." European Journal of Engineering and Technology Research 2, no. 6 (2017): 27–35. http://dx.doi.org/10.24018/ejeng.2017.2.6.378.

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One of the important tasks of a power system engineer is to run the system in safe and reliable mode for secure operation with increase in loading. So, it is significant to perform voltage stability analysis by optimal reactive power dispatch with Artificial Intelligence (AI) techniques. This paper presents the application of Ant Colony Optimization (ACO) and BAT algorithms for Optimal Reactive Power Dispatch (ORPD) to enhance voltage stability. The proposed ACO and BAT algorithms are used to find the optimal settings of On-load Tap changing Transformers (OLTC), Generator excitation and Static

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Nasution, Devi Maiya Sari, Hariyati Lubis, Rika Permata Sari Siregar, Muhammad Zarlis, and Syahril Efendi. "OPTIMISASI HEURISTIK TERHADAP JARINGAN KOMPLEKS." Juripol (Jurnal Institusi Politeknik Ganesha Medan) 5, no. 1 (2022): 241–50. http://dx.doi.org/10.33395/juripol.v5i1.11331.

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Penelitian ini mengusulkan sebuah solusi matematika untuk masalah optimasi dengan melihat optimisasi heuristic terhadap jaringan kompleks. Optimisasi Heuristik yang diterapkan adalah Algoritma Ant Colony Optimization (ACO). Algoritma yang diadopsi dari perilaku koloni semut. Secara alamiah koloni semut mampu menemukan rute terpendek dalam perjalanan dari sarang ke tempat tempat sumber makanan. Koloni semuat dapat menemukan rute terpendek antara sarang dan sumber makanannya berdasarkan jejak kaki pada lintasan yang telah dilewati. Semakin banyak semut yang melewati suatu lintasan, maka akan sem

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Silalahi, Andreas, Mayanda Mega Santoni, and Anita Muliawati. "Pembuatan Aplikasi Penjadwalan Mata Kuliah Menggunakan Algoritma Ant Colony Optimization (Studi Kasus: Program Studi Informatika Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jakarta)." Informatik : Jurnal Ilmu Komputer 16, no. 3 (2020): 148. http://dx.doi.org/10.52958/iftk.v16i3.2011.

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Penjadwalan dibuat agar kegiatan perkuliahan dapat berjalan secara teratur. Salah satu penerapan penjadwalan ada pada penjadwalan mata kuliah. Pada beberapa instansi pendidikan seperti Program Studi Informatika Universitas Pembangunan Nasional Veteran Jakarta, penjadwalan mata kuliah masih dilakukan secara manual. Banyak data yang dapat mempengaruhi penjadwalan seperti dosen, mahasiswa, jumlah ruang, dan waktu yang tersedia membuat proses pembuatan jadwal menjadi tidak mudah dan membutuhkan banyak waktu. Masalah ini dapat dibantu dengan menggunakan algoritma yang baik. Pada jurnal ini, aplikas

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Habbanakuppe Balachandra, Divyashree, Puttamadappa Chaluve Gowda, and Nandini Prasad Kanakapura Shivaprasad. "Secure cluster-based routing using multi objective-trust centric artificial algae algorithm for wireless sensor network." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 1618. http://dx.doi.org/10.11591/ijece.v13i2.pp1618-1628.

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<p>Nowadays, wireless sensor network (WSN) is developed as a key technology to observe and track applications over a wide range. However, energy consumption and security are considered as important issues in the WSN. In this paper, the multi objective-trust centric artificial algae algorithm (M-TCAAA) is proposed to accomplish a secure broadcasting over the WSN. The proposed M-TCAAA is used to choose the secure cluster head (SCH) as well as routing path, based on the distinct fitness measures such as trust, communication cost, residual energy, and node degree. Hence, the M-TCAAA is used

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Li, Wei, Qi Fan, Fangfang Dang, et al. "Multi-Objective Optimization of a Task-Scheduling Algorithm for a Secure Cloud." Information 13, no. 2 (2022): 92. http://dx.doi.org/10.3390/info13020092.

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As more and more power information systems are gradually deployed to cloud servers, the task scheduling of a secure cloud is facing challenges. Optimizing the scheduling strategy only from a single aspect cannot meet the needs of power business. At the same time, the power information system deployed on the security cloud will face different types of business traffic, and each business traffic has different risk levels. However, the existing research has not conducted in-depth research on this aspect, so it is difficult to obtain the optimal scheduling scheme. To solve the above problems, we f

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Sukmana, Septian Enggar, and Ely Nur Rahayu. "Agen Otonom Untuk Ketepatan Penembakan Pada Game Roket Berbasis Ant Colony Optimization." Applied Technology and Computing Science Journal 3, no. 1 (2020): 58–63. http://dx.doi.org/10.33086/atcsj.v3i1.1587.

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ACO berbasis klasifikasi diterapkan pada game Rocket Tank untuk membantu karakter rocket dalam menembak target (tower) secara tepat. Pada paper ini, roket berfungsi sebagai sarang semut dan tower sebagai sumber makanan. Agen semut dijalankan secara acak dan berjalan menemukan sumber makanan. Sumber makanan yang ditemukan didefinsikan sebagai target yang harus ditembak, dasar dari penentuan sumber makanan adalah jumlah bobot feromon yang terkumpul tanpa nilai jarak. Implementasi yang dilakukan pada paper ini adalah membandingkan penerapan ACO berbasis klasifikasi (melibatkan bobot feromon pada

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Udjulawa, Daniel, and Serly Oktarina. "PENERAPAN ALGORITMA ANT COLONY OPTIMIZATION UNTUK PENCARIAN RUTE TERPENDEK LOKASI WISATA." Klik - Jurnal Ilmu Komputer 3, no. 1 (2022): 26–33. http://dx.doi.org/10.56869/klik.v3i1.326.

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Lokasi wisata di kota palembang secara geografis memang tidak terlalu jauh antar satu tempat dengan tempat lainnya. Namun bagi wisatawan yang berkunjung pertama kali di kota Palembang, biasanya akan mencari informasi sejauh mana lokasi wisata satu ke tempat wisata yang lainnya dan berapa jaraknya kalau mereka berada di suatu titik lokasi sebagai pusat nya dan akan menuju ke lokasi yang lain. Penyajian informasi rute terdekat dengan sistem informasi berbasis website akan sangat membantu bagi wisatawan agar mudah dalam mencari lokasi wisata tertentu. Penelitian ini dititik beratkan pada penerapa

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Nauman, Umer, Yuhong Zhang, Zhihui Li, and Tong Zhen. "Secured VM Deployment in the Cloud: Benchmarking the Enhanced Simulation Model." Applied Sciences 14, no. 2 (2024): 540. http://dx.doi.org/10.3390/app14020540.

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Cloud computing has gained widespread recognition for facilitating myriad online services and applications. However, the current stages of commercial cloud computing employ a moderate design, wherein computational resources like storage and servers are housed in a few sizable worldwide data centers. System reliability, efficiency, and low latency are all goals of virtual machine (VM) placement. Load balancing has emerged as a crucial challenge for attaining energy efficiency in a fictitious grid computing architecture where a variety of users’ workloads are distributed across several virtual m

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Ganta, Seshagiri Rao, and N. Naga Malleswara Rao. "A Hybrid Probabilistic Trust Model for Dynamic Path Planning in Wireless Sensor Networks." Engineering, Technology & Applied Science Research 15, no. 3 (2025): 23317–22. https://doi.org/10.48084/etasr.10555.

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Wireless Sensor Networks (WSNs) are vital for real-time applications, but their effectiveness hinges on node reliability, secure connections, and overall trustworthiness. Crucially, data privacy, secure path planning, and data integrity are paramount for efficient and reliable WSN operation. Traditional path planning often neglects integrity and trust, limiting privacy and robustness in large networks. To overcome these limitations, a novel hybrid model for dynamic WSNs has been developed. This model integrates trust-based node integrity verification with privacy preservation. It employs a hyb

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Yuliati, Dian, Rizalatul Qomaria, and Abdulloh Hamid. "Optimalisasi Pencarian Rute Kapal Terbaik dengan Menggunakan Metode Ant Colony Optimization." Jurnal Informatika Polinema 11, no. 1 (2024): 29–36. https://doi.org/10.33795/jip.v11i1.5075.

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Indonesia merupakan negara maritim dengan wilayah perairan mencapai 5,8 juta km² yang memiliki keunggulan strategis bagi pertumbuhan ekonomi nasional. Maritim merupakan sistem yang menghubungkan denyut nadi global bangsa-bangsa di dunia dan merupakan saluran terpenting dalam kelangsungan perekonomian dunia. Namun, terdapat tantangan dalam mengelola sistem maritim termasuk memperbaiki efisiensi operasi pelabuhan. Strategi dan solusi diperlukan untuk mengatasi tantangan ini dengan meningkatkan efisiensi serta keandalan operasi pelabuhan. Pelabuhan di Indonesia yang sedang menghadapi sejumlah tan

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Sahputra, Iwan Halim, Tanti Octavia, and Agus Susanto Chandra. "TABU SEARCH SEBAGAI LOCAL SEARCH PADA ALGORITMA ANT COLONY UNTUK PENJADWALAN FLOWSHOP." Jurnal Teknik Industri 11, no. 2 (2009): 188–94. http://dx.doi.org/10.9744/jti.11.2.188-194.

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Ant colony optimization (ACO) is one of the meta-heuristic methods developed for finding solutions to optimization problems such as scheduling. Local search method is one part of the ACO which determines the quality of the resulting solution. In this paper, Tabu Search was proposed as a method of local search in ACO to solve the problem of flowshop scheduling. The purpose of this scheduling was to minimize the makespan. Makespan and computation time of the proposed method were compared to the ACO that implemented Job-Index as local search method. Using proposed algorithm, makespan values obtai

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Djalal, Muhammad Ruswandi, and Nasrun Kadir. "PENALAAN OPTIMAL KONTROLER PSS-PID PADA SISTEM SINGLE MACHINE INFINITE BUS MENGGUNAKAN ANT COLONY OPTIMIZATION." JST (Jurnal Sains dan Teknologi) 10, no. 1 (2021): 76. http://dx.doi.org/10.23887/jst-undiksha.v10i1.20851.

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Perubahan beban pada sistem tenaga listrik secara tiba-tiba menyebabkan terjadinya gangguan dinamik. Gangguan tersebut menyebabkan kestabilan generator terganggu, karena generator tidak merespon gangguan tersebut secara cepat. Hal ini menyebabkan terjadinya osilasi pada generator berupa osilasi frekuensi dan sudut rotor. Salah satu peralatan kontrol tambahan yang mampu meningkatkan kestabilan suatu generator adalah Power Sistem Stabilizer (PSS) dan Proportional Integral Derrivative (PID). Dalam aplikasinya, penentuan parameter kontroler ini masih menggunakan metode trial & error, metode in

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Djalal, Muhammad Ruswandi, and Nasrun Kadir. "PENALAAN OPTIMAL KONTROLER PSS-PID PADA SISTEM SINGLE MACHINE INFINITE BUS MENGGUNAKAN ANT COLONY OPTIMIZATION." JST (Jurnal Sains dan Teknologi) 10, no. 1 (2021): 75–84. http://dx.doi.org/10.23887/jstundiksha.v10i1.20851.

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Perubahan beban pada sistem tenaga listrik secara tiba-tiba menyebabkan terjadinya gangguan dinamik. Gangguan tersebut menyebabkan kestabilan generator terganggu, karena generator tidak merespon gangguan tersebut secara cepat. Hal ini menyebabkan terjadinya osilasi pada generator berupa osilasi frekuensi dan sudut rotor. Salah satu peralatan kontrol tambahan yang mampu meningkatkan kestabilan suatu generator adalah Power Sistem Stabilizer (PSS) dan Proportional Integral Derrivative (PID). Dalam aplikasinya, penentuan parameter kontroler ini masih menggunakan metode trial & error, metode in

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Mahmoud, Halah Hasan, Abed Saif Alghawli, Marwan Kadhim Mohammed Al-shammari, et al. "IoT-Based Motorbike Ambulance: Secure and Efficient Transportation." Electronics 11, no. 18 (2022): 2878. http://dx.doi.org/10.3390/electronics11182878.

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The predilection for 5G telemedicine networks has piqued the interest of industry researchers and academics. The most significant barrier to global telemedicine adoption is to achieve a secure and efficient transport of patients, which has two critical responsibilities. The first is to get the patient to the nearest hospital as quickly as possible, and the second is to keep the connection secure while traveling to the hospital. As a result, a new network scheme has been suggested to expand the medical delivery system, which is an agile network scheme to securely redirect ambulance motorbikes t

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Mehfuz, Shabana, and M. N. Doja. "Swarm Intelligent Power-Aware Detection of Unauthorized and Compromised Nodes in MANETs." Journal of Artificial Evolution and Applications 2008 (February 7, 2008): 1–16. http://dx.doi.org/10.1155/2008/236803.

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Characteristics of mobile ad hoc networks (MANETs) such as lack of central coordination, mobility of hosts, and limited availability of resources make quality of service (QoS) provisioning very challenging. Limited resource availability such as battery power and insecure medium is one of the major QoS issues to be dealt with. In this paper, we have proposed a new secure power-aware ant routing algorithm (SPA-ARA) for mobile ad hoc networks that is inspired from ant colony optimization (ACO) algorithms which are a swarm intelligent technique. In this algorithm, we have introduced a new metric,

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Himani Saini, Et al. "Comparative Analysis of Privacy Preservation Mechanism: Assessing Trustworthy Cloud Services with a Hybrid Framework and Swarm Intelligence." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2317–27. http://dx.doi.org/10.17762/ijritcc.v11i9.9239.

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Cloud computing has emerged as a prominent field in modern computational technology, offering diverse services and resources. However, it has also raised pressing concerns regarding data privacy and the trustworthiness of cloud service providers. Previous works have grappled with these challenges, but many have fallen short in providing comprehensive solutions. In this context, this research proposes a novel framework designed to address the issues of maintaining data privacy and fostering trust in cloud computing services. The primary objective of this work is to develop a robust and integrat

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S. Arivarasan, S. Prakash, and S. Surendran. "Hybrid Metaheuristic Adaptive QoS Routing Using Dual-Layer Deep Reinforced Swarm Learning in 5G-Enabled Materials with Secure Packet Clustering." Metallurgical and Materials Engineering 31, no. 4 (2025): 226–36. https://doi.org/10.63278/1428.

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QoS routing in MANETs continues to present significant challenges in the era of emerging wireless technologies, particularly with the integration of 5G networks, silicon-based antenna systems, and advanced material-based communication devices. The dynamic nature of node mobility, energy limitations, and vulnerability to security attacks requires robust and intelligent routing frameworks for modern MANET environments. Conventional swarm intelligence-based routing models, although effective, often lack adaptivity to dynamic topologies and fail to ensure secure packet transmission in heterogeneou

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Raavi, Jaya Prakash Narayana, and Meghana Medala. "Optimal Location Settings for UPFC Using Ant Colony Optimization for Improving Power System Security Under Single Contingencies." International Transactions on Electrical Engineering and Computer Science 2, no. 3 (2023): 128–38. http://dx.doi.org/10.62760/iteecs.2.3.2023.60.

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Devices referred to as FACTS are utilized extensively in the process of making power system more secure. The UPFC, which contains both shunt and series correction, is one of the FACTS devices that is considered to be among the most successful. The placement of the FACTS device and the values that are selected for its parameters both have a role in determining how successful the device is in reducing security risks. In this study, the ACO approach is presented as a means of optimally positioning UPFC in order to improve the consistency of the power system in the occurrence of single contingenci

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Haris, Abdul, Nabilla Anggraini, and Hengki Sikumbang. "Teknologi Irigasi Cerdas pada Sistem Irigasi Drip dengan Algoritma Ant Colony Optimization." Jurnal Teknologi Informasi dan Ilmu Komputer 9, no. 6 (2022): 1289. http://dx.doi.org/10.25126/jtiik.2022955871.

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<p class="Abstrak">Rendahnya penggunaan sistem irigasi modern di Indonesia menyebabkan produktivitas lahan yang rendah, terlebih di musim kemarau hal ini dapat menyebabkan banyak lahan yang tidak produktif. Sementara di sisi lain, perkembangan teknologi komputasi sudah masuk dalam berbagai bidang kehidupan, termasuk pertanian. Contoh penerapan teknologi di bidang pertanian adalah diperkenalkannya sistem irigasi <em>drip.</em> Banyak peneliti yang telah melakukan kajian dan inovasi di bidang ini untuk menghasilkan irigasi yang baik dan optimal, antara lain dengan mengimplement

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Ourouss, Kaoutar, Najib Naja, and Abdellah Jamali. "Defending Against Smart Grayhole Attack Within MANETs: A Reputation-Based Ant Colony Optimization Approach for Secure Route Discovery in DSR Protocol." Wireless Personal Communications 116, no. 1 (2020): 207–26. http://dx.doi.org/10.1007/s11277-020-07711-6.

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Etim, Abigail Uwem, Kufre M. Udofia, and Akaninyene B. Obot. "Dynamic Routing Resilience in MANETs: A Bio-Inspired SORA Framework with Ant Colony-driven Security and Scalability." Journal of Engineering Research and Reports 27, no. 5 (2025): 82–99. https://doi.org/10.9734/jerr/2025/v27i51495.

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This study introduces the Secure Optimized Routing Algorithm (SORA) and its enhanced variant, ACO-SORA, that incorporates Ant Colony Optimization (ACO) to address security vulnerabilities and inefficiencies in Mobile Ad Hoc Networks (MANETs). SORA achieved a 92% packet delivery fraction (PDF) and 20 ms end-to-end delay, outperforming AODV (85% PDF, 35 ms), ZRP (88% PDF, 28 ), and DSR (80% PDF, 40 ), while maintaining a 0.8 normalized routing load (NRL) versus AODV (1.2), ZRP (1.0), and DSR (1.5). Its bio-inspired extension, ACO-SORA, further reduced NRL by 15–20% (0.70 vs. SORA’s 0.85) and sla

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Jamal Ahmed, Ahmed, Ali Hashim Abbas, and Sami AbdulJabbar Rashid. "Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 3 (2023): 1224. http://dx.doi.org/10.11591/ijai.v12.i3.pp1224-1237.

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Wireless sensor network (WSN) is the most integral parts of current technology which are used for the real time applications. The major drawbacks in currect technologies are threads due to the creation of false trust values and data congestion. Maximum of the concept of WSNs primarily needs security and optimization. So, we are in the desire to develop a new model which is highly secured and localized. In this paper, we introduced a novel approach namely multi level trust calculation with improved ant colony optimization (MLT-IACO). This approach mainly sub-divided into two sections they are m

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Ahmed, Jamal Ahmed, Hashim Abbas Ali, and Abduljabbar Rashid Sami. "Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network." International Journal of Artificial Intelligence (IJ-AI) 12, no. 3 (2023): 1224–37. https://doi.org/10.11591/ijai.v12.i3.pp1224-1237.

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Wireless sensor network (WSN) is the most integral parts of current technology which are used for the real time applications. The major drawbacks in currect technologies are threads due to the creation of false trust values and data congestion. Maximum of the concept of WSNs primarily needs security and optimization. So, we are in the desire to develop a new model which is highly secured and localized. In this paper, we introduced a novel approach namely multi level trust calculation with improved ant colony optimization (MLT-IACO). This approach mainly sub-divided into two sections they are m

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Divya Mishra. "A Mathematical Framework for Enhancing IOT Security in VANETs: Optimizing Intrusion Detection Systems through Machine Learning Algorithms." Communications on Applied Nonlinear Analysis 31, no. 8s (2024): 329–51. http://dx.doi.org/10.52783/cana.v31.1488.

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Vehicular Ad Hoc Networks (VANETs) are of paramount importance to enable secure transportation, a requirement in smart city concepts because security threats can have catastrophic consequences on road safety. To mitigate this issue, authors supervised an efficient mathematical approach in form of IDS with a set of machine-learning algorithms for effective intrusion detection mechanism which secures the VANET environment especially when it comes to IoT security. To improve the accuracy and efficiency of intrusion detection a system is proposed that combines intelligence optimization algorithm s

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Prasetyo, Yogo Dwi, Abira Massi Armond, and Wahyurini Ediningrum. "PENERAPAN MODEL MATEMATIKA ALGORITMA ANT COLONY OPTIMIZATION DALAM PENENTUAN RUTE BUS TRANS BANYUMAS." JURNAL MATHEMATIC PAEDAGOGIC 7, no. 1 (2022): 12–23. http://dx.doi.org/10.36294/jmp.v7i1.2701.

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Travelling Salesman Problem (TSP) adalah upaya salesman untuk mengunjungi setiap kota tepat satu kali dan kemudian kembali ke tempat asal sekaligus meminimalisasi total biaya yang ditempuh. Siklus Hamilton adalah siklus yang melalui setiap simpul di dalam graf tepat satu kali dan kembali ke simpul asal. TSP mencoba mencari jarak optimal siklus Hamilton dari graf. Trans Banyumas beroperasi dengan mengunjungi semua tempat pemberhentian bus dan kembali ke titik awal. Penelitian ini menerapkan algoritma Ant Colony Optimization (ACO) untuk menentukan rute optimal bus Trans Banyumas. Perhitungan alg

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