Analysis of an ND-policy Geo/G/1 queue and its application to wireless sensor networks

Renbin Liu (), Attahiru Sule Alfa () and Miaomiao Yu ()
Additional contact information
Renbin Liu: Chongqing University of Technology
Attahiru Sule Alfa: University of Pretoria
Miaomiao Yu: Sichuan University of Science and Engineering

Operational Research, 2019, vol. 19, issue 2, No 8, 449-477

Abstract: Abstract In this paper, we consider a discrete-time Geo/G/1 queue controlled by the combination of the N and D policies (called ND-policy). In this system, when there are N waiting customers or the service time backlog of all waiting customers exceeds a given threshold D, whichever emerges first, the idle server immediately resumes its service. Under this policy, since the service times of the customers arriving during the idle period, conditioned on the number of these customers, are dependent, and stochastically different from the service times of the customers arriving during the busy period, the customers in the system are classified into two types. Based on this classification, we first derive the probability generating functions and means of the queue length, idle and busy periods, service time backlog, waiting time and sojourn time, where the busy period is first studied in the discrete-time queues involving the D-policy. Next, by analyzing some results and flaws in the work of Gu et al. (J Syst Sci Complex, 2016. doi: 10.1007/s11424-016-4180-y ), we theoretically show the discrepancies that could arise if the conditional dependency of the service times of the customers arriving during the idle period is ignored. Finally, the numerical examples are provided to study the effects of different parameters on the mean queue length. Through an energy consumption optimization problem in wireless sensor networks, the application of our queueing model in the real world is illustrated, and the flaws that resulted from the results by Gu et al. (J Syst Sci Complex, 2016. doi: 10.1007/s11424-016-4180-y ) are numerically revealed.

Keywords: ND-policy; Queue length; Service time backlog; Busy period; Energy consumption optimization; 60K25; 68M20; 90B22 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-017-0304-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:operea:v:19:y:2019:i:2:d:10.1007_s12351-017-0304-y

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351

DOI: 10.1007/s12351-017-0304-y

Access Statistics for this article

Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis

More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().