adaptive real-time query scheduling for wireless sensor networks
With the recent evolution of high data rates in real-time sensor network applications, there is always an increasing demand for high performance query services in such networks. To meet this demand, we propose an adaptive approach for scheduling real-time query transmissions in wireless sensor networks (WSNs). Our purpose is to schedule multiple real-time queries efficiently by maximizing the overall network throughput while meeting the queries' deadlines. The proposed scheduler allows multiple conflict-free queries to execute concurrently in order to achieve maximum throughput, besides the scheduler works preemptively to satisfy the real-time queries' deadline constrains. The simulation results showed that our proposed scheduler can be adopted to effectively increase network throughput and eliminate query prioritization inversion.
real-time query scheduling wireless sensor networks throughput conflict-free preemptive priority