KOGPSR: A 3D GPSR algorithm using adaptive Kalman prediction for FANETs with omnidirectional antenna
Nowadays, flying ad hoc network (FANET) has captured great attention for its huge potential in military and civilian applications. However, the high-speed movement of unmanned aerial vehicles (UAVs) in three-dimensional (3D) space leads to fast topology change in FANET and brings new challenges to t...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-05-01
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| Series: | Journal of Information and Intelligence |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949715923000719 |
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| _version_ | 1839643911225606144 |
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| author | Zhongjie Wang Yuhan Ruan Yongzhao Li Tao Li Rui Zhang Jian Liang |
| author_facet | Zhongjie Wang Yuhan Ruan Yongzhao Li Tao Li Rui Zhang Jian Liang |
| author_sort | Zhongjie Wang |
| collection | DOAJ |
| description | Nowadays, flying ad hoc network (FANET) has captured great attention for its huge potential in military and civilian applications. However, the high-speed movement of unmanned aerial vehicles (UAVs) in three-dimensional (3D) space leads to fast topology change in FANET and brings new challenges to traditional routing mechanisms. To improve the performance of packet transmission in the 3D high dynamic FANETs, we propose a 3D greedy perimeter stateless routing (GPSR) algorithm using adaptive Kalman prediction for FANETs with omnidirectional antenna (KOGPSR). Especially, in data forwarding part of the KOGPSR, we propose a new link metric for greedy forwarding based on a torus-shaped radiation pattern of the omnidirectional antenna of UAVs, and a restricted flooding strategy is introduced to solve the 3D void node problem in geographic routing. In addition, in order to enhance the accuracy of the location information of high dynamic UAVs, we design an adaptive Kalman algorithm to track and predict the motion of UAVs. Finally, a FANET simulation platform based on OPNET is built to depict the performance of the KOGPSR algorithm. The simulation results show that the proposed KOGPSR algorithm is more suitable for the actual 3D high dynamic FANET. |
| format | Article |
| id | doaj-art-13b4ec7aad0f458a80f80f62e78da7dd |
| institution | Matheson Library |
| issn | 2949-7159 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Information and Intelligence |
| spelling | doaj-art-13b4ec7aad0f458a80f80f62e78da7dd2025-07-02T02:24:55ZengKeAi Communications Co., Ltd.Journal of Information and Intelligence2949-71592024-05-0123191208KOGPSR: A 3D GPSR algorithm using adaptive Kalman prediction for FANETs with omnidirectional antennaZhongjie Wang0Yuhan Ruan1Yongzhao Li2Tao Li3Rui Zhang4Jian Liang5School of Telecommunications Engineering, Xidian University, Xi'an 710071, ChinaCorresponding author.; School of Telecommunications Engineering, Xidian University, Xi'an 710071, ChinaCorresponding author.; School of Telecommunications Engineering, Xidian University, Xi'an 710071, ChinaSchool of Telecommunications Engineering, Xidian University, Xi'an 710071, ChinaSchool of Telecommunications Engineering, Xidian University, Xi'an 710071, ChinaSchool of Telecommunications Engineering, Xidian University, Xi'an 710071, ChinaNowadays, flying ad hoc network (FANET) has captured great attention for its huge potential in military and civilian applications. However, the high-speed movement of unmanned aerial vehicles (UAVs) in three-dimensional (3D) space leads to fast topology change in FANET and brings new challenges to traditional routing mechanisms. To improve the performance of packet transmission in the 3D high dynamic FANETs, we propose a 3D greedy perimeter stateless routing (GPSR) algorithm using adaptive Kalman prediction for FANETs with omnidirectional antenna (KOGPSR). Especially, in data forwarding part of the KOGPSR, we propose a new link metric for greedy forwarding based on a torus-shaped radiation pattern of the omnidirectional antenna of UAVs, and a restricted flooding strategy is introduced to solve the 3D void node problem in geographic routing. In addition, in order to enhance the accuracy of the location information of high dynamic UAVs, we design an adaptive Kalman algorithm to track and predict the motion of UAVs. Finally, a FANET simulation platform based on OPNET is built to depict the performance of the KOGPSR algorithm. The simulation results show that the proposed KOGPSR algorithm is more suitable for the actual 3D high dynamic FANET.http://www.sciencedirect.com/science/article/pii/S2949715923000719FANETThree-dimensional spaceHigh dynamicAdaptive Kalman predictionRouting algorithm |
| spellingShingle | Zhongjie Wang Yuhan Ruan Yongzhao Li Tao Li Rui Zhang Jian Liang KOGPSR: A 3D GPSR algorithm using adaptive Kalman prediction for FANETs with omnidirectional antenna Journal of Information and Intelligence FANET Three-dimensional space High dynamic Adaptive Kalman prediction Routing algorithm |
| title | KOGPSR: A 3D GPSR algorithm using adaptive Kalman prediction for FANETs with omnidirectional antenna |
| title_full | KOGPSR: A 3D GPSR algorithm using adaptive Kalman prediction for FANETs with omnidirectional antenna |
| title_fullStr | KOGPSR: A 3D GPSR algorithm using adaptive Kalman prediction for FANETs with omnidirectional antenna |
| title_full_unstemmed | KOGPSR: A 3D GPSR algorithm using adaptive Kalman prediction for FANETs with omnidirectional antenna |
| title_short | KOGPSR: A 3D GPSR algorithm using adaptive Kalman prediction for FANETs with omnidirectional antenna |
| title_sort | kogpsr a 3d gpsr algorithm using adaptive kalman prediction for fanets with omnidirectional antenna |
| topic | FANET Three-dimensional space High dynamic Adaptive Kalman prediction Routing algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2949715923000719 |
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