【摘要】 针对中高速传感器网络中不同业务对QoS(quality of service)的不同要求,跨层考虑物理层和数据链路层参数,提出了一种适合混合业务的多元参数调度算法和资源分配算法。该算法根据不同的业务动态调整时延补偿因子和吞吐量补偿因子两个参数,在满足实时业务QoS约束的前提下,以最大化系统吞吐量为目标建立了相应的优化模模型,对于实时业务能满足时延较小的要求,对于非实时业务能满足吞吐量较大的要求。仿真结果表明,该调度算法可以灵活地在系统功率效率和用户服务质量满意度之间取得折衷,并保证不同类型业务用户间的公平性。更多还原

【Abstract】 To efficiently support the diverse quality of service(QoS) requirements in middle and high rate sensor networks,a scheduling and resource allocation algorithm based on cross-layer optimization was proposed in this paper.By dynamically adjusting values of the two parameters,delay compensation factor and throughput compensation factor,a mathematical formulation was provided with the goal of maximizing throughput under real-time service QoS constraints to meet the requirements of smaller delay in real-time service and larger throughput in non real-time service.Simulations show that the scheme can achieve compromise between system efficiency and users QoS satisfaction flexibly and guarantee fairness among different user.更多还原