Original scientific paper
https://doi.org/10.1080/00051144.2023.2269642
Delay-aware optimized scheduling algorithm for high performance wireless sensor networks
Sa Soundararajan
; Department of CSE, Velammal Institute of Technology, Chennai, India
*
Sb Lalitha
; Department of ECE, B.M.S. College of Engineering, Bangalore, India
B. Jyoshnac
; Department of CSE, Keshav Memorial Institute of Technology, Hyderabad, India
Annalakshmi Govindarajd
; Department of CSE, Koneru Lakshmaiah Education Foundation, Hyderabad, India
* Corresponding author.
Abstract
Because of the phenomenal expansion of Internet of Things (IoT) devices around the world,
Wireless Sensor Networks (WSN) have become increasingly important among the technical community, and research in this area has been growing exponentially. Researchers have used a
variety of WSN technologies to address issues such as processing power constraints, bandwidthlimited connections, delays and energy consumption outlines that arise with sensor networks.
However, in terms of delay optimization, affordability and effective energy consumption, WSN is
the most suitable and alluring technology. This paper uses an Enhanced Scheduling Algorithm
(ESA) with a probabilistic approach called Random Classical Game Theory (RCGT) to reduce the
delay in WSN. Retransmissions are minimized when ESA and RCGT are used, which improve WSN
delay. The idea is to improve the scheduling algorithm by using RCGT to lengthen the lifespan
of the entire network. It has been demonstrated that the improved technique outperforms the
existing algorithms in terms of throughput, energy consumption, hop count, delay and lifespan
ratio.
Keywords
Delay optimization; wireless sensor networks; Gaussian mixture model; enhanced scheduling algorithm; Internet of Things
Hrčak ID:
322949
URI
Publication date:
27.11.2023.
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