Dwarf Mongoose Optimization-Based Secure Clustering with Routing Technique in Internet of Drones
Over the last few years, unmanned aerial vehicles (UAV), also called drones, have attracted considerable interest in the academic field and exploration in the research field of wireless sensor networks (WSN). Furthermore, the application of drones aided operations related to the agriculture industry...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/6/9/247 |
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| author | Fatma S. Alrayes Jaber S. Alzahrani Khalid A. Alissa Abdullah Alharbi Hussain Alshahrani Mohamed Ahmed Elfaki Ayman Yafoz Abdullah Mohamed Anwer Mustafa Hilal |
| author_facet | Fatma S. Alrayes Jaber S. Alzahrani Khalid A. Alissa Abdullah Alharbi Hussain Alshahrani Mohamed Ahmed Elfaki Ayman Yafoz Abdullah Mohamed Anwer Mustafa Hilal |
| author_sort | Fatma S. Alrayes |
| collection | DOAJ |
| description | Over the last few years, unmanned aerial vehicles (UAV), also called drones, have attracted considerable interest in the academic field and exploration in the research field of wireless sensor networks (WSN). Furthermore, the application of drones aided operations related to the agriculture industry, smart Internet of things (IoT), and military support. Now, the usage of drone-based IoT, also called Internet of drones (IoD), and their techniques and design challenges are being investigated by researchers globally. Clustering and routing aid to maximize the throughput, reducing routing, and overhead, and making the network more scalable. Since the cluster network used in a UAV adopts an open transmission method, it exposes a large surface to adversaries that pose considerable network security problems to drone technology. This study develops a new dwarf mongoose optimization-based secure clustering with a multi-hop routing scheme (DMOSC-MHRS) in the IoD environment. The goal of the DMOSC-MHRS technique involves the selection of cluster heads (CH) and optimal routes to a destination. In the presented DMOSC-MHRS technique, a new DMOSC technique is utilized to choose CHs and create clusters. A fitness function involving trust as a major factor is included to accomplish security. Besides, the DMOSC-MHRS technique designs a wild horse optimization-based multi-hop routing (WHOMHR) scheme for the optimal route selection process. To demonstrate the enhanced performance of the DMOSC-MHRS model, a comprehensive experimental assessment is made. An extensive comparison study demonstrates the better performance of the DMOSC-MHRS model over other approaches. |
| first_indexed | 2024-03-10T00:14:27Z |
| format | Article |
| id | doaj.art-d9ce20c78db742c38ecad4864ca123ca |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-10T00:14:27Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-d9ce20c78db742c38ecad4864ca123ca2023-11-23T15:53:52ZengMDPI AGDrones2504-446X2022-09-016924710.3390/drones6090247Dwarf Mongoose Optimization-Based Secure Clustering with Routing Technique in Internet of DronesFatma S. Alrayes0Jaber S. Alzahrani1Khalid A. Alissa2Abdullah Alharbi3Hussain Alshahrani4Mohamed Ahmed Elfaki5Ayman Yafoz6Abdullah Mohamed7Anwer Mustafa Hilal8Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi ArabiaDepartment of Industrial Engineering, College of Engineering at Alqunfudah, Umm Al-Qura University, Mecca 24382, Saudi ArabiaSaudi Aramco Cybersecurity Chair, Networks and Communications Department, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi ArabiaDepartment of Computer Science, Community College, King Saud University, Riyadh 11437, Saudi ArabiaDepartment of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra 11911, Saudi ArabiaDepartment of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra 11911, Saudi ArabiaDepartment of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 22254, Saudi ArabiaResearch Centre, Future University in Egypt, New Cairo 11845, EgyptDepartment of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, AlKharj 16278, Saudi ArabiaOver the last few years, unmanned aerial vehicles (UAV), also called drones, have attracted considerable interest in the academic field and exploration in the research field of wireless sensor networks (WSN). Furthermore, the application of drones aided operations related to the agriculture industry, smart Internet of things (IoT), and military support. Now, the usage of drone-based IoT, also called Internet of drones (IoD), and their techniques and design challenges are being investigated by researchers globally. Clustering and routing aid to maximize the throughput, reducing routing, and overhead, and making the network more scalable. Since the cluster network used in a UAV adopts an open transmission method, it exposes a large surface to adversaries that pose considerable network security problems to drone technology. This study develops a new dwarf mongoose optimization-based secure clustering with a multi-hop routing scheme (DMOSC-MHRS) in the IoD environment. The goal of the DMOSC-MHRS technique involves the selection of cluster heads (CH) and optimal routes to a destination. In the presented DMOSC-MHRS technique, a new DMOSC technique is utilized to choose CHs and create clusters. A fitness function involving trust as a major factor is included to accomplish security. Besides, the DMOSC-MHRS technique designs a wild horse optimization-based multi-hop routing (WHOMHR) scheme for the optimal route selection process. To demonstrate the enhanced performance of the DMOSC-MHRS model, a comprehensive experimental assessment is made. An extensive comparison study demonstrates the better performance of the DMOSC-MHRS model over other approaches.https://www.mdpi.com/2504-446X/6/9/247drone communicationenergy efficiencysecurityclusteringmulti-hop routingInternet of drones |
| spellingShingle | Fatma S. Alrayes Jaber S. Alzahrani Khalid A. Alissa Abdullah Alharbi Hussain Alshahrani Mohamed Ahmed Elfaki Ayman Yafoz Abdullah Mohamed Anwer Mustafa Hilal Dwarf Mongoose Optimization-Based Secure Clustering with Routing Technique in Internet of Drones Drones drone communication energy efficiency security clustering multi-hop routing Internet of drones |
| title | Dwarf Mongoose Optimization-Based Secure Clustering with Routing Technique in Internet of Drones |
| title_full | Dwarf Mongoose Optimization-Based Secure Clustering with Routing Technique in Internet of Drones |
| title_fullStr | Dwarf Mongoose Optimization-Based Secure Clustering with Routing Technique in Internet of Drones |
| title_full_unstemmed | Dwarf Mongoose Optimization-Based Secure Clustering with Routing Technique in Internet of Drones |
| title_short | Dwarf Mongoose Optimization-Based Secure Clustering with Routing Technique in Internet of Drones |
| title_sort | dwarf mongoose optimization based secure clustering with routing technique in internet of drones |
| topic | drone communication energy efficiency security clustering multi-hop routing Internet of drones |
| url | https://www.mdpi.com/2504-446X/6/9/247 |
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