Optimizing Energy Consumption and QoS in WMSNs Using Queueing Theory

Mohammed B. Abazeed (), Mohammed Ali and Ali Alqahtani
Additional contact information
Mohammed B. Abazeed: Department of Computer Science, Applied College, King Khalid University, Abha 61421, Saudi Arabia
Mohammed Ali: Department of Computer Science, Applied College, King Khalid University, Abha 61421, Saudi Arabia
Ali Alqahtani: Department of Computer Science, Applied College, King Khalid University, Abha 61421, Saudi Arabia

Sustainability, 2023, vol. 15, issue 18, 1-13

Abstract: The limited resources and enormous amounts of data generated by multimedia sensors require efficient strategies to extend network lifetime while taking into account quality-of-service requirements such as reliability and delay. In contrast, limited battery resources require new techniques to balance energy consumption and multimedia application requirements in wireless multimedia sensor networks (WMSNs). These requirements are very critical, especially for network stability and performance. In this paper, an energy-efficient mechanism based on the M/D/1/B queueing model is proposed. According to the packets in the queue and the waiting time, the nodes decide their activation time, so the nodes wake up for a while to transmit the data in the queue and then go to sleep mode. The simulation results of the proposed algorithm show that the proposed mechanism achieves optimal values to reduce energy consumption while meeting the quality-of-service requirements under different conditions.

Keywords: duty cycle; queueing model; wireless multimedia sensor networks; energy efficiency (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/18/13559/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/18/13559/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:18:p:13559-:d:1237343

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().