Analysis of Single-Server Queue with Phase-Type Service and Energy Harvesting

We propose a queueing model suitable, for example, for modelling operation of nodes of sensor networks. The sensor node senses a random field and generates packets to be transmitted to the central node. The sensor node has a battery of a finite capacity and harvests energy during its operation from...

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Main Authors: Sergey A. Dudin, Moon Ho Lee
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/8142743
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spelling doaj-2bcd9f50d7224e0f9b8ca45ee8d8186d2020-11-24T22:21:02ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/81427438142743Analysis of Single-Server Queue with Phase-Type Service and Energy HarvestingSergey A. Dudin0Moon Ho Lee1Department of Applied Mathematics and Computer Science, Belarusian State University, 4 Nezavisimosti Avenue, 220030 Minsk, BelarusDivision of Electronics Engineering, Chonbuk National University, Jeonju 561-756, Republic of KoreaWe propose a queueing model suitable, for example, for modelling operation of nodes of sensor networks. The sensor node senses a random field and generates packets to be transmitted to the central node. The sensor node has a battery of a finite capacity and harvests energy during its operation from outside (using solar cells, wind turbines, piezoelectric cells, etc.). We assume that, generally speaking, service (transmission) of a packet consists of a random number of phases and implementation of each phase requires a unit of energy. If the battery becomes empty, transmission is failed. To reduce the probability of forced transmission termination, we suggest that the packet can be accepted for transmission only when the number of energy units is greater than or equal to some threshold. Under quite general assumptions about the pattern of the arrival processes of packets and energy, we compute the stationary distributions of the system states and the waiting time of a packet in the system and numerically analyze performance measures of the system as functions of the threshold. Validity of Little’s formula and its counterpart is verified.http://dx.doi.org/10.1155/2016/8142743
collection DOAJ
language English
format Article
sources DOAJ
author Sergey A. Dudin
Moon Ho Lee
spellingShingle Sergey A. Dudin
Moon Ho Lee
Analysis of Single-Server Queue with Phase-Type Service and Energy Harvesting
Mathematical Problems in Engineering
author_facet Sergey A. Dudin
Moon Ho Lee
author_sort Sergey A. Dudin
title Analysis of Single-Server Queue with Phase-Type Service and Energy Harvesting
title_short Analysis of Single-Server Queue with Phase-Type Service and Energy Harvesting
title_full Analysis of Single-Server Queue with Phase-Type Service and Energy Harvesting
title_fullStr Analysis of Single-Server Queue with Phase-Type Service and Energy Harvesting
title_full_unstemmed Analysis of Single-Server Queue with Phase-Type Service and Energy Harvesting
title_sort analysis of single-server queue with phase-type service and energy harvesting
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2016-01-01
description We propose a queueing model suitable, for example, for modelling operation of nodes of sensor networks. The sensor node senses a random field and generates packets to be transmitted to the central node. The sensor node has a battery of a finite capacity and harvests energy during its operation from outside (using solar cells, wind turbines, piezoelectric cells, etc.). We assume that, generally speaking, service (transmission) of a packet consists of a random number of phases and implementation of each phase requires a unit of energy. If the battery becomes empty, transmission is failed. To reduce the probability of forced transmission termination, we suggest that the packet can be accepted for transmission only when the number of energy units is greater than or equal to some threshold. Under quite general assumptions about the pattern of the arrival processes of packets and energy, we compute the stationary distributions of the system states and the waiting time of a packet in the system and numerically analyze performance measures of the system as functions of the threshold. Validity of Little’s formula and its counterpart is verified.
url http://dx.doi.org/10.1155/2016/8142743
work_keys_str_mv AT sergeyadudin analysisofsingleserverqueuewithphasetypeserviceandenergyharvesting
AT moonholee analysisofsingleserverqueuewithphasetypeserviceandenergyharvesting
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