Priority based Adaptive Scheduling Algorithm for IoT Sensor Systems

In IoT sensor systems, the existing scheduling approaches fail to satisfy the varying Quality-of-Service (QoS) requirements of heterogeneous applications and their demands. This paper proposes a priority based adaptive scheduling algorithm (PASA) for IoT sensor systems. Unlike the existing scheduling techniques, the proposed PASA considers the requirements of heterogeneous applications such as data rate, minimum delay, transmitting power, remaining energy, remaining buffer size of devices etc. The base station allocates collison-free time slots for each node based on their traffic priority. The duty-cycle (ST) of each node will be adaptively assigned based on the Priority of traffic, remaining buffer size of queue level (RBS), remaining energy (RE) and required transmitting power (TP). The proposed PASA is compared with the Energy Efficient Context Aware Traffic Scheduling (EE-CATS) algorithm. Simulation results have shown that PASA outperforms EE-CATS in terms of packet delivery ratio (PDR), average residual energy and throughput.