Treffer: LISP : A link-indexed statistical traffic prediction approach to improving IEEE 802.11 PSM
Title:
LISP : A link-indexed statistical traffic prediction approach to improving IEEE 802.11 PSM
Authors:
Source:
24th International Conference on Distributed Computing Systems (proceedings). :292-300
Publisher Information:
Los Alamitos CA: IEEE Computer Society, 2004.
Publication Year:
2004
Physical Description:
print, 11 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Analyse statistique, Statistical analysis, Análisis estadístico, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Autoroute, Freeway, Autopista, Corrélation, Correlation, Correlación, Feu signalisation, Traffic lights, Semáforo, Itinéraire, Route, Itinerario, LISP, LISP language, Langage programmation, Programming language, Lenguaje programación, Système réparti, Distributed system, Sistema repartido, Trafic routier, Road traffic, Tráfico carretera
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign, United States
Department of Computer Science University of Illinois at Urbana-Champaign, United States
Department of Computer Science University of Illinois at Urbana-Champaign, United States
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17415550
Database:
PASCAL Archive
Weitere Informationen
This paper presents a novel and complementary mechanism, called Link-Indexed Statistical traffic Predictor (LISP) to improve IEEE 802.11 Power Saving Mechanism (PSM). LISP employs a simple, light-weight traffic prediction mechanism and enables each node to seek the inherent correlation between ATIM-ACKs and incoming traffic. Thereby nodes en route can stay awake in the BI in which. a packet is anticipated to arrive, thus bridging a freeway for the packet to rapidly traverse the route. Meanwhile, the number of duty cycles is minimized and more energy is conserved. We conduct analytical and simulation studies and demonstrate the effectiveness of LISP.