A blockchain-based secure path planning in UAVs communication network
Unmanned aerial vehicles (UAVs) are one of the most popular and effective systems in various industrial applications such as surveillance, security, and infrastructure inspection. It is gradually becoming an essential part of navigation as a consequence of high progress in military and civilian miss...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824012432 |
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| author | Shubhani Aggarwal Ishan Budhiraja Sahil Garg Georges Kaddoum Bong Jun Choi M. Shamim Hossain |
| author_facet | Shubhani Aggarwal Ishan Budhiraja Sahil Garg Georges Kaddoum Bong Jun Choi M. Shamim Hossain |
| author_sort | Shubhani Aggarwal |
| collection | DOAJ |
| description | Unmanned aerial vehicles (UAVs) are one of the most popular and effective systems in various industrial applications such as surveillance, security, and infrastructure inspection. It is gradually becoming an essential part of navigation as a consequence of high progress in military and civilian missions. Path planning of UAVs in military and civilian missions or in unknown and restricted environments is one of the biggest problems facing the operation of UAVs. This problem is not only searching for a path from an initial point to the final but also linked to find an optimal among all possible paths and provides collision avoidance. By examining the best path for UAVs, there is a need for the consideration of various other issues such as security and privacy, turning angle, overtake speed of obstacle, etc. The fundamental problem of UAVs is finding an optimal and secure route in a challenging environment. To overcome these challenges, many researchers have used optimization techniques such as ant colony, particle swarm, artificial bee colony, etc. with planning and coordination. In this paper, a blockchain-based solution is used to secure and authenticate UAVs. Hence, we propose a blockchain-based method that uses a genetic algorithm, which solves both constrained and unconstrained optimization problems. The purpose of this technique is to locate the best possible flight path for the UAVs in a three-dimensional setting. In a genetic algorithm, each iteration is designed to surpass the previous one in terms of improvement. To achieve an ideal route, solving the travelling salesman problem is a crucial step in the proposed approach. Consequently, the blockchain technology offers a reliable wireless communication and a dependable network for UAVs path planning, guaranteeing efficient service. Simulation results demonstrate the impact of the proposed scheme. They show that a genetic algorithm is suitable for optimal path planning for UAVs. |
| format | Article |
| id | doaj-art-16ea98ff94de4b18a2bde238b871f1b3 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-16ea98ff94de4b18a2bde238b871f1b32025-02-07T04:46:56ZengElsevierAlexandria Engineering Journal1110-01682025-02-01113451460A blockchain-based secure path planning in UAVs communication networkShubhani Aggarwal0Ishan Budhiraja1Sahil Garg2Georges Kaddoum3Bong Jun Choi4M. Shamim Hossain5Amity School of Engineering and Technology, Amity University Punjab, Mohali, IndiaSchool of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, IndiaElectrical Engineering Department, École de Technologie Supérieure, Montreal, QC H3C1K3, Canada; Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, IndiaElectrical Engineering Department, École de Technologie Supérieure, Montreal, QC H3C1K3, Canada; Artificial Intelligence & Cyber Systems Research Center, Lebanese American University, Beirut, LebanonSchool of Computer Science and Engineering, Soongsil University, Seoul, Republic of Korea; Corresponding author at: School of Computer Science and Engineering, Soongsil University, Seoul, Republic of Korea .Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 12372, Saudi ArabiaUnmanned aerial vehicles (UAVs) are one of the most popular and effective systems in various industrial applications such as surveillance, security, and infrastructure inspection. It is gradually becoming an essential part of navigation as a consequence of high progress in military and civilian missions. Path planning of UAVs in military and civilian missions or in unknown and restricted environments is one of the biggest problems facing the operation of UAVs. This problem is not only searching for a path from an initial point to the final but also linked to find an optimal among all possible paths and provides collision avoidance. By examining the best path for UAVs, there is a need for the consideration of various other issues such as security and privacy, turning angle, overtake speed of obstacle, etc. The fundamental problem of UAVs is finding an optimal and secure route in a challenging environment. To overcome these challenges, many researchers have used optimization techniques such as ant colony, particle swarm, artificial bee colony, etc. with planning and coordination. In this paper, a blockchain-based solution is used to secure and authenticate UAVs. Hence, we propose a blockchain-based method that uses a genetic algorithm, which solves both constrained and unconstrained optimization problems. The purpose of this technique is to locate the best possible flight path for the UAVs in a three-dimensional setting. In a genetic algorithm, each iteration is designed to surpass the previous one in terms of improvement. To achieve an ideal route, solving the travelling salesman problem is a crucial step in the proposed approach. Consequently, the blockchain technology offers a reliable wireless communication and a dependable network for UAVs path planning, guaranteeing efficient service. Simulation results demonstrate the impact of the proposed scheme. They show that a genetic algorithm is suitable for optimal path planning for UAVs.http://www.sciencedirect.com/science/article/pii/S1110016824012432BlockchainUnmanned aerial vehiclesPath planningGenetic algorithmTravelling salesman problemSecurity and privacy |
| spellingShingle | Shubhani Aggarwal Ishan Budhiraja Sahil Garg Georges Kaddoum Bong Jun Choi M. Shamim Hossain A blockchain-based secure path planning in UAVs communication network Alexandria Engineering Journal Blockchain Unmanned aerial vehicles Path planning Genetic algorithm Travelling salesman problem Security and privacy |
| title | A blockchain-based secure path planning in UAVs communication network |
| title_full | A blockchain-based secure path planning in UAVs communication network |
| title_fullStr | A blockchain-based secure path planning in UAVs communication network |
| title_full_unstemmed | A blockchain-based secure path planning in UAVs communication network |
| title_short | A blockchain-based secure path planning in UAVs communication network |
| title_sort | blockchain based secure path planning in uavs communication network |
| topic | Blockchain Unmanned aerial vehicles Path planning Genetic algorithm Travelling salesman problem Security and privacy |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824012432 |
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