Experimental Energy Consumption of Frame Slotted ALOHA and Distributed Queuing for Data Collection Scenarios

Data collection is a key scenario for the Internet of Things because it enables gathering sensor data from distributed nodes that use low-power and long-range wireless technologies to communicate in a single-hop approach. In this kind of scenario, the network is composed of one coordinator that cove...

Full description

Bibliographic Details
Main Authors: Pere Tuset-Peiro, Francisco Vazquez-Gallego, Jesus Alonso-Zarate, Luis Alonso, Xavier Vilajosana
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/8/13416
_version_ 1828151280235708416
author Pere Tuset-Peiro
Francisco Vazquez-Gallego
Jesus Alonso-Zarate
Luis Alonso
Xavier Vilajosana
author_facet Pere Tuset-Peiro
Francisco Vazquez-Gallego
Jesus Alonso-Zarate
Luis Alonso
Xavier Vilajosana
author_sort Pere Tuset-Peiro
collection DOAJ
description Data collection is a key scenario for the Internet of Things because it enables gathering sensor data from distributed nodes that use low-power and long-range wireless technologies to communicate in a single-hop approach. In this kind of scenario, the network is composed of one coordinator that covers a particular area and a large number of nodes, typically hundreds or thousands, that transmit data to the coordinator upon request. Considering this scenario, in this paper we experimentally validate the energy consumption of two Medium Access Control (MAC) protocols, Frame Slotted ALOHA (FSA) and Distributed Queuing (DQ). We model both protocols as a state machine and conduct experiments to measure the average energy consumption in each state and the average number of times that a node has to be in each state in order to transmit a data packet to the coordinator. The results show that FSA is more energy efficient than DQ if the number of nodes is known a priori because the number of slots per frame can be adjusted accordingly. However, in such scenarios the number of nodes cannot be easily anticipated, leading to additional packet collisions and a higher energy consumption due to retransmissions. Contrarily, DQ does not require to know the number of nodes in advance because it is able to efficiently construct an ad hoc network schedule for each collection round. This kind of a schedule ensures that there are no packet collisions during data transmission, thus leading to an energy consumption reduction above 10% compared to FSA.
first_indexed 2024-04-11T21:55:18Z
format Article
id doaj.art-e0534c69d9364728931008d9ddb214d5
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-04-11T21:55:18Z
publishDate 2014-07-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-e0534c69d9364728931008d9ddb214d52022-12-22T04:01:07ZengMDPI AGSensors1424-82202014-07-01148134161343610.3390/s140813416s140813416Experimental Energy Consumption of Frame Slotted ALOHA and Distributed Queuing for Data Collection ScenariosPere Tuset-Peiro0Francisco Vazquez-Gallego1Jesus Alonso-Zarate2Luis Alonso3Xavier Vilajosana4Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC) C/Roc Boronat 117, Barcelona 08018, SpainDepartment, Centre Tecnologic de Telecomunicacions de Catalunya (CTTC) Av. Carl Friedrich Gauss 7, Castelldefels 08860, SpainDepartment, Centre Tecnologic de Telecomunicacions de Catalunya (CTTC) Av. Carl Friedrich Gauss 7, Castelldefels 08860, SpainSignal Theory and Communications Group, Universitat Politecnica de Catalunya (UPC) Av. Esteve Terradas 7, C4-204, Castelldefels 08860, SpainInternet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC) C/Roc Boronat 117, Barcelona 08018, SpainData collection is a key scenario for the Internet of Things because it enables gathering sensor data from distributed nodes that use low-power and long-range wireless technologies to communicate in a single-hop approach. In this kind of scenario, the network is composed of one coordinator that covers a particular area and a large number of nodes, typically hundreds or thousands, that transmit data to the coordinator upon request. Considering this scenario, in this paper we experimentally validate the energy consumption of two Medium Access Control (MAC) protocols, Frame Slotted ALOHA (FSA) and Distributed Queuing (DQ). We model both protocols as a state machine and conduct experiments to measure the average energy consumption in each state and the average number of times that a node has to be in each state in order to transmit a data packet to the coordinator. The results show that FSA is more energy efficient than DQ if the number of nodes is known a priori because the number of slots per frame can be adjusted accordingly. However, in such scenarios the number of nodes cannot be easily anticipated, leading to additional packet collisions and a higher energy consumption due to retransmissions. Contrarily, DQ does not require to know the number of nodes in advance because it is able to efficiently construct an ad hoc network schedule for each collection round. This kind of a schedule ensures that there are no packet collisions during data transmission, thus leading to an energy consumption reduction above 10% compared to FSA.http://www.mdpi.com/1424-8220/14/8/13416energy consumptiondata collectionmedium access controlframe slotted ALOHAdistributed queuing
spellingShingle Pere Tuset-Peiro
Francisco Vazquez-Gallego
Jesus Alonso-Zarate
Luis Alonso
Xavier Vilajosana
Experimental Energy Consumption of Frame Slotted ALOHA and Distributed Queuing for Data Collection Scenarios
Sensors
energy consumption
data collection
medium access control
frame slotted ALOHA
distributed queuing
title Experimental Energy Consumption of Frame Slotted ALOHA and Distributed Queuing for Data Collection Scenarios
title_full Experimental Energy Consumption of Frame Slotted ALOHA and Distributed Queuing for Data Collection Scenarios
title_fullStr Experimental Energy Consumption of Frame Slotted ALOHA and Distributed Queuing for Data Collection Scenarios
title_full_unstemmed Experimental Energy Consumption of Frame Slotted ALOHA and Distributed Queuing for Data Collection Scenarios
title_short Experimental Energy Consumption of Frame Slotted ALOHA and Distributed Queuing for Data Collection Scenarios
title_sort experimental energy consumption of frame slotted aloha and distributed queuing for data collection scenarios
topic energy consumption
data collection
medium access control
frame slotted ALOHA
distributed queuing
url http://www.mdpi.com/1424-8220/14/8/13416
work_keys_str_mv AT peretusetpeiro experimentalenergyconsumptionofframeslottedalohaanddistributedqueuingfordatacollectionscenarios
AT franciscovazquezgallego experimentalenergyconsumptionofframeslottedalohaanddistributedqueuingfordatacollectionscenarios
AT jesusalonsozarate experimentalenergyconsumptionofframeslottedalohaanddistributedqueuingfordatacollectionscenarios
AT luisalonso experimentalenergyconsumptionofframeslottedalohaanddistributedqueuingfordatacollectionscenarios
AT xaviervilajosana experimentalenergyconsumptionofframeslottedalohaanddistributedqueuingfordatacollectionscenarios