TY - JOUR
T1 - Modeling and optimization method of relay node placement using multi-UAV
AU - Wu, Gaofeng
AU - Gao, Xiaoguang
AU - Fu, Xiaowei
N1 - Publisher Copyright:
© 2017, Press of Chinese Journal of Aeronautics. All right reserved.
PY - 2017/11/25
Y1 - 2017/11/25
N2 - In the battlefield environment, a relay communication chain is urgently needed to be formed between two nodes which are unable to communicate. In this paper, Unmanned Aerial Vehicles (UAVs) are used as relay nodes, and a model for relay node placement is given. The objective functions are the minimum number of required relay UAVs and the minimum time cost for forming the relay chain, and the constraints are the safety of UAVs and the effectiveness of the relay chain. Since the problem is mixed integer multi-objective optimization which is known hard to be solved, and the requirement for quick and effective decision is urgently needed, a Polynomial Time Relay Placement Algorithm (PTRPA) is given to solve the problem fast and provide a sub-optimal solution. The feasibility and effectiveness of the algorithm is validated with simulation, and the impacts of different factors on the algorithm is studied with the Monte-Carlo method. The research figures out a new relay node placement scenario in the coming networked warfare, and provides a referable modeling and solving method.
AB - In the battlefield environment, a relay communication chain is urgently needed to be formed between two nodes which are unable to communicate. In this paper, Unmanned Aerial Vehicles (UAVs) are used as relay nodes, and a model for relay node placement is given. The objective functions are the minimum number of required relay UAVs and the minimum time cost for forming the relay chain, and the constraints are the safety of UAVs and the effectiveness of the relay chain. Since the problem is mixed integer multi-objective optimization which is known hard to be solved, and the requirement for quick and effective decision is urgently needed, a Polynomial Time Relay Placement Algorithm (PTRPA) is given to solve the problem fast and provide a sub-optimal solution. The feasibility and effectiveness of the algorithm is validated with simulation, and the impacts of different factors on the algorithm is studied with the Monte-Carlo method. The research figures out a new relay node placement scenario in the coming networked warfare, and provides a referable modeling and solving method.
KW - Multi-objective optimization
KW - Node placement
KW - Polynomial time algorithm
KW - Relay
KW - Unmanned Aerial Vehicle (UAV)
KW - Wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85040570194&partnerID=8YFLogxK
U2 - 10.7527/S1000-6893.2017.321195
DO - 10.7527/S1000-6893.2017.321195
M3 - 文章
AN - SCOPUS:85040570194
SN - 1000-6893
VL - 38
JO - Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
JF - Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
IS - 11
M1 - 321195
ER -