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.

Key words: Middle and high rate sensor networks, Cross layer, Scheduling algorithm, Compensation factor