Mobile Sensors Path Planning for Cooperative Monitoring of Different Mission Importance Areas
| Autor: | Yaoying Tang, Yao Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Optimization problem
Computer science Node (networking) 020208 electrical & electronic engineering Real-time computing Particle swarm optimization 020206 networking & telecommunications 02 engineering and technology Radar engineering details Path (graph theory) Metric (mathematics) 0202 electrical engineering electronic engineering information engineering Motion planning Smoothing |
| Zdroj: | 2020 IEEE Radar Conference (RadarConf20). |
| DOI: | 10.1109/radarconf2043947.2020.9266395 |
| Popis: | This paper considers an offline path planning problem about cooperative monitoring in different mission importance areas of interest (AOIs) by mobile sensor nodes. Each node is equipped with a radar sensor and limited by maneuver constraints. To evaluate the cooperative surveillance performance, we propose an effective monitoring metric and a revisit metric, which are based on the detection performance of the mobile surveillance system in AOIs during the mission time. Since the formulated optimization problem is high dimensionality and has complex constraints, we propose a solution that contains two parts: 1) an optimization algorithm based on particle swarm optimization (PSO) to reduce the computation load with the constrains satisfied and 2) a path smoothing method based on third-degree B-spline to smooth the optimized paths. Finally, simulation results verify the feasibility and efficiency of the algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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