TY - GEN
T1 - Beacon Localization Method Based on Flower Pollination-Fireworks Algorithm
AU - Du, Zhaofeng
AU - Huang, He
AU - Xin, Bin
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2024
Y1 - 2024
N2 - Urban warfare environments are complex, highly concealed, and dangerous, particularly with the strong unknowns present in indoor environments. Utilizing mobile robots for searching inside buildings can significantly reduce casualties and yield significant military benefits. However, indoor environments lack support from the Global Positioning System (GPS), making it impossible for mobile robots to utilize GPS for positioning during mission execution. Achieving precise autonomous indoor localization for mobile robots has become a current hot topic of great concern. To address this issue, this paper proposes the use of Ultra Wide Band (UWB) beacons with Received Signal Strength Indication (RSSI) for achieving precise indoor localization. An RSSI-based localization method using the Flower Pollination-Fireworks Algorithm (FPFA) is introduced to solve the indoor positioning problem for mobile robots. Compared to traditional RSSI localization algorithms, the proposed algorithm effectively tackles factors such as signal attenuation and multipath effects, thereby enhancing the accuracy and stability of localization. Additionally, simulation experiments and error analysis were conducted on the algorithm, demonstrating its superiority in terms of accuracy and robustness.
AB - Urban warfare environments are complex, highly concealed, and dangerous, particularly with the strong unknowns present in indoor environments. Utilizing mobile robots for searching inside buildings can significantly reduce casualties and yield significant military benefits. However, indoor environments lack support from the Global Positioning System (GPS), making it impossible for mobile robots to utilize GPS for positioning during mission execution. Achieving precise autonomous indoor localization for mobile robots has become a current hot topic of great concern. To address this issue, this paper proposes the use of Ultra Wide Band (UWB) beacons with Received Signal Strength Indication (RSSI) for achieving precise indoor localization. An RSSI-based localization method using the Flower Pollination-Fireworks Algorithm (FPFA) is introduced to solve the indoor positioning problem for mobile robots. Compared to traditional RSSI localization algorithms, the proposed algorithm effectively tackles factors such as signal attenuation and multipath effects, thereby enhancing the accuracy and stability of localization. Additionally, simulation experiments and error analysis were conducted on the algorithm, demonstrating its superiority in terms of accuracy and robustness.
KW - Beacon positioning
KW - Fireworks Algorithm
KW - Flower Pollination-Fireworks Algorithm
UR - http://www.scopus.com/inward/record.url?scp=85176921193&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-7590-7_21
DO - 10.1007/978-981-99-7590-7_21
M3 - Conference contribution
AN - SCOPUS:85176921193
SN - 9789819975891
T3 - Communications in Computer and Information Science
SP - 255
EP - 269
BT - Advanced Computational Intelligence and Intelligent Informatics - 8th International Workshop, IWACIII 2023, Proceedings
A2 - Xin, Bin
A2 - Kubota, Naoyuki
A2 - Chen, Kewei
A2 - Dong, Fangyan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2023
Y2 - 3 November 2023 through 5 November 2023
ER -