A Scheduling Method of Generalized Tasks for Multifunctional Radar Network
| Autor: | Lingjiang Kong, Tianxian Zhang, Longxiao Xu, Xueting Li |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Artificial neural network
business.industry Computer science 010401 analytical chemistry Real-time computing 020206 networking & telecommunications 02 engineering and technology 01 natural sciences Automation 0104 chemical sciences Scheduling (computing) law.invention Nonlinear system Dwell time law 0202 electrical engineering electronic engineering information engineering Task analysis Radar business Greedy algorithm Physics::Atmospheric and Oceanic Physics |
| Zdroj: | ICCAIS |
| DOI: | 10.1109/iccais46528.2019.9074597 |
| Popis: | In this paper, a scheduling method of generalized tasks for multifunctional radar network is proposed. Considering the actual relationship between task execution performance and the length of task dwell time as well as the high correlation of tasks periods, in this paper, the membership functions between execution performance and dwell time of tasks are considered to be nonlinear and the periods of tasks are arbitrary. Firstly, a radar task model with random period for multifunctional radar is built, and the exponential membership functions are set to ensure the generality of tasks. Then, the slots and common periods of radars in network are determined. Next, the periods of tasks are adjusted and tasks are assigned to corresponding radars respectively. Furthermore, tasks are scheduled in corresponding radars in network by greedy algorithm and heuristic algorithm. Finally, the numerical simulations are presented to evaluate the validity of the method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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