The research on energy management and communication optimization in passive sensing system

In the process of communication between CRFID and reader, if the energy is insufficient, the task may miss the deadline, and large amounts of data transmission fails, resulting in waste of time and energy. In response to this problem, this paper established the energy receiving and consumption model of WISP tags, and then proposed a predictive energy task scheduling algorithm called PE-EDF. The algorithm combined energy management with task scheduling, greatly reducing the probability of data transmission failure, and improving reliability by at least 55%. Further, we considered the conflicts between a reader and multiple CRFIDs, and proposed corresponding Collision-Free Communication algorithm called CFC based on optimize the stop position of the reader. The total communication time is reduced by 25%, which greatly optimizes communication conflict.