Design a Delay-Efficient data aggregation scheduling scheme for Duty-cycled wireless sensor networks

Data aggregation is an essential operation in wireless sensor networks (WSNs) in which sensed data are aggregated and transmitted to the sink. In many applications, reducing the latency of data aggregation is an important target. In addition, one of the primary challenges in WSNs is energy scarcity, so reducing energy consumption is a problem. Recently, duty cycling, i.e., periodically switching on and off communication and sensing capabilities, has been considered to significantly reduce the sensor's energy consumption and extend network lifetime. However, unnecessary waiting of a sensor node for its receiver brought by the duty cycling mode can lead to the significant increase of data aggregation delay. In this paper, we consider the minimum-latency aggregation scheduling problem in duty-cycled WSNs. We propose a Delay-Efficient Data Aggregation Scheduling (DEDAS) scheme to generate a collision-free schedule and minimize the delay for data aggregation in duty-cycled WSNs.