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

Autor: Jesus Alonso-Zarate, Xavier Vilajosana, Pere Tuset-Peiró, Luis Alonso, Francisco Vazquez-Gallego
Přispěvatelé: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. WiComTec - Grup de recerca en Tecnologies i Comunicacions Sense Fils, Centre Tecnològic de Telecomunicacions de Catalunya, Universitat Politècnica de Catalunya, Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Jazyk: angličtina
Rok vydání: 2014
Předmět:
frame slotted ALOHA
Computer science
Energia -- Consum
02 engineering and technology
lcsh:Chemical technology
01 natural sciences
Biochemistry
Analytical Chemistry
frame slotted
recopilación de datos
consum energètic
control de acceso al medio
0202 electrical engineering
electronic engineering
information engineering

lcsh:TP1-1185
Instrumentation
Network packet
Enginyeria electrònica [Àrees temàtiques de la UPC]
medium access control
Energy consumption
Data warehousing
Atomic and Molecular Physics
and Optics

cua distribuïda
ALOHA
Aloha
Gestor de datos
Data collection
marco ranurado
Wireless Technology
Efficient energy use
Computer network
Schedule
control d'accés al mitjà
data collection
Wireless ad hoc network
recopilació de dades
Systems Theory
Article
Computer Communication Networks
distributed queuing
energy consumption
cola distribuida
Wireless
Electrical and Electronic Engineering
marc ranurat
business.industry
consumo energético
Node (networking)
Distributed queuing
010401 analytical chemistry
Frame (networking)
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Medium access control
020206 networking & telecommunications
Models
Theoretical

Gestor de dades
Energies::Gestió de l'energia [Àrees temàtiques de la UPC]
0104 chemical sciences
business
Electronic data processing--Distributed processing
Frame slotted ALOHA
Processament distribuït de dades
Zdroj: Sensors
Volume 14
Issue 8
Pages 13416-13436
Sensors (Basel, Switzerland)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
SENSORS
r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
instname
Sensors, Vol 14, Iss 8, Pp 13416-13436 (2014)
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
ISSN: 1424-8220
1424-3210
DOI: 10.3390/s140813416
Popis: 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.
Databáze: OpenAIRE