An Adaptive Scheduling Algorithm for Real-Time Business over Bluetooth Sensor Networks

Regarding the scheduling problem for real-time business over Bluetooth sensor networks, an adaptive scheduling algorithm for real-time business over Bluetooth sensor networks was proposed. By evaluating the current channel quality and data arrival rate, the best scheduling interval was computed for each link with real-time business. Master maintained a slot counter for each link and determined whether to schedule this link by comparing if the value of slot counter reached the best scheduling interval. The simulation results indicate that this algorithm has better bandwidth utilization, higher fairness and lower scheduling delay than traditional scheduling algorithms.