Adaptive Scheduling Technique Based Operating System for Wireless Sensor Networks and Internet of Things
How to Cite?
Anita Patil, Rajashree.V.Biradar, "Adaptive Scheduling Technique Based Operating System for Wireless Sensor Networks and Internet of Things," International Journal of Engineering Trends and Technology, vol. 69, no. 9, pp. 56-65, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I9P208
Wireless Sensor Network (WSN) has significance in various fields, including home and industry automation, medical instrumentation, military surveillance, etc. Though the battery-dependent and resource-constrained tiny sensor nodes challenge the design of the operating system (OS) very critically, there are many OS that exists for WSN and IoT. However, the available operating systems have their own advantages and disadvantages for various WSN applications. Among those, TinyOS is the widely used, highly documented, and most suitable OS for low power devices. Conversely, having only First Come First Serve (FCFS) scheduler is the major limitation of TinyOS that hinders the application developers from using this. The necessity of other schedulers is justified in the motivation part of the paper. Thus, to overcome this problem, the new adaptive scheduling algorithm proposed in this paper provides a choice for FCFS, Priority, and Round Robin schedulers. Moreover, the priority scheduler itself can represent the schedulers SJF, EDF, and any application requirementbased prioritizing scheduler. Accordingly, the application developer can adapt any scheduler for the application. This changing order of tasks’ execution also benefits the overall system performance by giving reduced average waiting for time (AWT) and average turnaround time (ATT), resulting from inefficient utilization of resources and better throughput.
IOT operating systems, TinyOS Scheduling techniques, Wireless Sensor Network, WSN Applications, WSN operating systems.
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