论文标题
基于雾的计算无人机群
Fog Based Computation Offloading for Swarm of Drones
论文作者
论文摘要
由于无人机群的计算资源有限，因此很难在本地处理计算密集型任务，因此广泛采用了基于云的计算卸载。但是，对于需要低延迟和高可靠性的业务，基于云的解决方案不合适，因为长距离数据传输引起的响应时间缓慢。因此，为了解决上述问题，在本文中，我们将雾计算引入了无人机（FCSD）中。为了关注延迟和可靠性敏感业务方案，延迟和可靠性被构建为优化问题的约束。为了增强FCSD系统的实用性，我们在满足任务的延迟和可靠性要求的前提下，将FCSD作为优化目标功能作为优化目标功能。此外，基于遗传算法的启发式算法旨在在FCSD系统中执行最佳任务分配。模拟结果验证了拟议的基于雾化的计算通过启发式算法卸载可以在延迟和可靠性的要求下有效地完成计算任务，从而有效地完成计算任务。
Due to the limited computing resources of swarm of drones, it is difficult to handle computation-intensive tasks locally, hence the cloud based computation offloading is widely adopted. However, for the business which requires low latency and high reliability, the cloud-based solution is not suitable, because of the slow response time caused by long distance data transmission. Therefore, to solve the problem mentioned above, in this paper, we introduce fog computing into swarm of drones (FCSD). Focusing on the latency and reliability sensitive business scenarios, the latency and reliability is constructed as the constraints of the optimization problem. And in order to enhance the practicality of the FCSD system, we formulate the energy consumption of FCSD as the optimization target function, to decrease the energy consumption as far as possible, under the premise of satisfying the latency and reliability requirements of the task. Furthermore, a heuristic algorithm based on genetic algorithm is designed to perform optimal task allocation in FCSD system. The simulation results validate that the proposed fog based computation offloading with the heuristic algorithm can complete the computing task effectively with the minimal energy consumption under the requirements of latency and reliability.
