Multiple Wirelessly Powered Sensing Platform Scheduling Algorithm Based on Dynamic Priority Preemption

The available energy of a wirelessly powered sensing platform is not enough, and there are constant real-time tasks to join the run. So system composed many platforms easy enter overloaded state, which may cause some be executed on time. Therefore, obtain as much task value possible for when it under essential design reasonable scheduling algorithm arrange execution order. In this paper, we propose policy named Wirelessly Dynamic Allocation Priority (WDAP) suitable system. proposed WDAP divided into dynamic priority allocation node policy. Firstly, paper analyzes density based time, studies urgency according time remaining idle proposes intensity through consumption Based three impact factors density, urgency, intensity, proposed. Then, by combining acquisition speed nodes. Finally, Real-time Task Scheduling (WDRTS) WDAP. clarifies order each task, responds high-priority first, effectively guarantees benefits. experimental results show that compared with main algorithms used in literature among Generalized Earliest Deadline First, WDRTS reduces number preemptive at least 36.49% increases successful rate 15.17% overall income 16.37% high load.