Modeling and Analysis of Reservation Frame Slotted-ALOHA in Wireless Machine-to-Machine Area Networks for Data Collection

Reservation frame slotted-ALOHA (RFSA) was proposed in the past to manage the access to the wireless channel when devices generate long messages fragmented into small packets. In this paper, we consider an M2M area network composed of end-devices that periodically respond to the requests from a gate...

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Main Authors: Francisco Vázquez-Gallego, Luis Alonso, Jesus Alonso-Zarate
Format: Article
Language:English
Published: MDPI AG 2015-02-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/2/3911
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spelling doaj-f9eea6a94407462281ef2f706dbc5a922020-11-24T20:44:35ZengMDPI AGSensors1424-82202015-02-011523911393110.3390/s150203911s150203911Modeling and Analysis of Reservation Frame Slotted-ALOHA in Wireless Machine-to-Machine Area Networks for Data CollectionFrancisco Vázquez-Gallego0Luis Alonso1Jesus Alonso-Zarate2Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Castelldefels, Barcelona 08860, SpainUniversitat Politècnica de Catalunya (UPC), Castelldefels, Barcelona 08860, SpainCentre Tecnològic de Telecomunicacions de Catalunya (CTTC), Castelldefels, Barcelona 08860, SpainReservation frame slotted-ALOHA (RFSA) was proposed in the past to manage the access to the wireless channel when devices generate long messages fragmented into small packets. In this paper, we consider an M2M area network composed of end-devices that periodically respond to the requests from a gateway with the transmission of fragmented messages. The idle network is suddenly set into saturation, having all end-devices attempting to get access to the channel simultaneously. This has been referred to as delta traffic. While previous works analyze the throughput of RFSA in steady-state conditions, assuming that traffic is generated following random distributions, the performance of RFSA under delta traffic has never received attention. In this paper, we propose a theoretical model to calculate the average delay and energy consumption required to resolve the contention under delta traffic using RFSA.We have carried out computer-based simulations to validate the accuracy of the theoretical model and to compare the performance for RFSA and FSA. Results show that there is an optimal frame length that minimizes delay and energy consumption and which depends on the number of end-devices. In addition, it is shown that RFSA reduces the energy consumed per end-device by more than 50% with respect to FSA under delta traffic.http://www.mdpi.com/1424-8220/15/2/3911analysisdelayenergy consumptionreservation frame slotted-ALOHAdelta traffic
collection DOAJ
language English
format Article
sources DOAJ
author Francisco Vázquez-Gallego
Luis Alonso
Jesus Alonso-Zarate
spellingShingle Francisco Vázquez-Gallego
Luis Alonso
Jesus Alonso-Zarate
Modeling and Analysis of Reservation Frame Slotted-ALOHA in Wireless Machine-to-Machine Area Networks for Data Collection
Sensors
analysis
delay
energy consumption
reservation frame slotted-ALOHA
delta traffic
author_facet Francisco Vázquez-Gallego
Luis Alonso
Jesus Alonso-Zarate
author_sort Francisco Vázquez-Gallego
title Modeling and Analysis of Reservation Frame Slotted-ALOHA in Wireless Machine-to-Machine Area Networks for Data Collection
title_short Modeling and Analysis of Reservation Frame Slotted-ALOHA in Wireless Machine-to-Machine Area Networks for Data Collection
title_full Modeling and Analysis of Reservation Frame Slotted-ALOHA in Wireless Machine-to-Machine Area Networks for Data Collection
title_fullStr Modeling and Analysis of Reservation Frame Slotted-ALOHA in Wireless Machine-to-Machine Area Networks for Data Collection
title_full_unstemmed Modeling and Analysis of Reservation Frame Slotted-ALOHA in Wireless Machine-to-Machine Area Networks for Data Collection
title_sort modeling and analysis of reservation frame slotted-aloha in wireless machine-to-machine area networks for data collection
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-02-01
description Reservation frame slotted-ALOHA (RFSA) was proposed in the past to manage the access to the wireless channel when devices generate long messages fragmented into small packets. In this paper, we consider an M2M area network composed of end-devices that periodically respond to the requests from a gateway with the transmission of fragmented messages. The idle network is suddenly set into saturation, having all end-devices attempting to get access to the channel simultaneously. This has been referred to as delta traffic. While previous works analyze the throughput of RFSA in steady-state conditions, assuming that traffic is generated following random distributions, the performance of RFSA under delta traffic has never received attention. In this paper, we propose a theoretical model to calculate the average delay and energy consumption required to resolve the contention under delta traffic using RFSA.We have carried out computer-based simulations to validate the accuracy of the theoretical model and to compare the performance for RFSA and FSA. Results show that there is an optimal frame length that minimizes delay and energy consumption and which depends on the number of end-devices. In addition, it is shown that RFSA reduces the energy consumed per end-device by more than 50% with respect to FSA under delta traffic.
topic analysis
delay
energy consumption
reservation frame slotted-ALOHA
delta traffic
url http://www.mdpi.com/1424-8220/15/2/3911
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