School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China.
Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu 611731, China.
Sensors (Basel). 2020 Dec 16;20(24):7218. doi: 10.3390/s20247218.
Physical resource allocation strategy is a key factor affecting the performance of a mobile ad hoc network (MANET), which serves as a network model widely used in the sensor and detection field. For various perceived service information, it is significant for the allocation strategy to adapt to the dynamic service requirements and prioritize resource access for the service information with high priority to guarantee its real-time performance. In this paper, a novel dynamic time division multiple access (TDMA) scheduling strategy is proposed for MANETs. Firstly, a service priority-based dynamic TDMA scheduling (SP-DS) algorithm is presented, which introduces the service priority as a reference factor for slot allocation and fully considers the transmission throughput and end-to-end delay performance. Moreover, for improving the slot use of the whole system, a modified distributed color constraint heuristic (MD-CCH) scheme is presented to optimize the frame structure. The SP-DS and MD-CCH algorithms are combined to form the novel strategy. Simulation results have demonstrated that the proposed strategy has better performance in the slot use, slot allocation efficiency, end-to-end delay and transmission throughput compared with the existing slot allocation algorithms.
物理资源分配策略是影响移动自组织网络（MANET）性能的关键因素，它是传感器和检测领域广泛使用的网络模型。对于各种感知服务信息，分配策略适应动态服务需求并为高优先级服务信息优先访问资源，以保证其实时性能，这一点非常重要。本文针对 MANET 提出了一种新颖的动态时分多址（TDMA）调度策略。首先，提出了一种基于服务优先级的动态 TDMA 调度（SP-DS）算法，该算法将服务优先级作为时隙分配的参考因素，并充分考虑了传输吞吐量和端到端延迟性能。此外，为了提高整个系统的时隙利用率，提出了一种改进的分布式颜色约束启发式（MD-CCH）方案来优化帧结构。将 SP-DS 和 MD-CCH 算法相结合，形成了新的策略。仿真结果表明，与现有时隙分配算法相比，所提出的策略在时隙利用率、时隙分配效率、端到端延迟和传输吞吐量方面具有更好的性能。
