Task Scheduling Algorithm Based on Computing-Aware in Mobile Ad Hoc Cloud

There are many heterogeneous intelligent devices with different resources in the field environment lacking infrastructure. Some of these devices have insufficient computing power and power supply, seriously affecting the functioning of computing-intensive and delay-sensitive applications. To fully utilize the available computing resources scattered in the region and provide deterministic quality of service guarantees for task execution, we designed Universal Identity Tag (UIT), a universal resource identification method. UIT can identify multidimensional resources and extract task characteristics, which effectively supports the heterogeneous communication entities computing resource discovery process and provides a basis for task scheduling. Subsequently, we propose Computing-Aware Strategy (CAS), a task scheduling algorithm based on ad hoc cloud and computing power awareness. CAS allows intelligent devices to dynamically perceive the state of other mobile devices to optimize the task scheduling process. Therefore, regional devices can share data and collaborate on computing tasks. Simulation results show that the proposed scheme effectively reduces data traffic overhead and lowers the average service delay.