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 (EECATS) algorithm. Simulation results have shown that PASA
outperforms EE-CATS in terms of packet delivery ratio (PDR),
average residual energy and throughput.