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1. Adaptive Duty Cycle Control with Queue Management in Wireless
Sensor Networks
Abstract
This project proposes a control-based approach to the duty cycle adaptation
for wireless sensor networks. The proposed method controls the duty cycle through
the queue management to achieve high-performance under variable traffic rates. To have energy
efficiency while minimizing the delay, we design a feedback controller, which adapts the sleep
time to the traffic change dynamically by constraining the queue length at a predetermined
value. In addition, we propose an efficient synchronization scheme using an active pattern, which
represents the active time slot schedule for synchronization among sensor nodes, without
affecting neighboring schedules. Based on the control theory, we analyze the adaptation behavior
of the proposed controller and demonstrate system stability. The simulation results show that the
proposed method outperforms existing schemes by achieving more power savings while
minimizing the delay.