Communication patterns in mean field models for wireless sensor networks

Research output: Book/ReportReportAcademic

Abstract

Wireless sensor networks are usually composed of a large number of nodes, and with the increasing processing power and power consumption efficiency they are expected to run more complex protocols in the future. These pose problems in the field of verification and performance evaluation of wireless networks. In this paper, we tailor the mean-field theory as a modeling technique to analyze their behavior. We apply this method to the slotted ALOHA protocol, and establish results on the long term trends of the protocol within a very large network, specially regarding the stability of ALOHA-type protocols. Keywords: Mean field approximation, Radio communication, Slotted ALOHA, Stability, Markov chains
LanguageEnglish
PublisherarXiv.org
Number of pages22
StatePublished - 2015

Publication series

NamearXiv.org
Volume1503.07693 [cs.PF]

Fingerprint

Wireless sensor networks
Network protocols
Communication
Mean field theory
Radio communication
Markov processes
Wireless networks
Electric power utilization
Processing

Cite this

@book{ee97bcbdaa274a049adf6ee722c1634c,
title = "Communication patterns in mean field models for wireless sensor networks",
abstract = "Wireless sensor networks are usually composed of a large number of nodes, and with the increasing processing power and power consumption efficiency they are expected to run more complex protocols in the future. These pose problems in the field of verification and performance evaluation of wireless networks. In this paper, we tailor the mean-field theory as a modeling technique to analyze their behavior. We apply this method to the slotted ALOHA protocol, and establish results on the long term trends of the protocol within a very large network, specially regarding the stability of ALOHA-type protocols. Keywords: Mean field approximation, Radio communication, Slotted ALOHA, Stability, Markov chains",
author = "M. Talebi and J.F. Groote and J.P.M.G. Linnartz",
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language = "English",
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}

Communication patterns in mean field models for wireless sensor networks. / Talebi, M.; Groote, J.F.; Linnartz, J.P.M.G.

arXiv.org, 2015. 22 p. (arXiv.org; Vol. 1503.07693 [cs.PF]).

Research output: Book/ReportReportAcademic

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AB - Wireless sensor networks are usually composed of a large number of nodes, and with the increasing processing power and power consumption efficiency they are expected to run more complex protocols in the future. These pose problems in the field of verification and performance evaluation of wireless networks. In this paper, we tailor the mean-field theory as a modeling technique to analyze their behavior. We apply this method to the slotted ALOHA protocol, and establish results on the long term trends of the protocol within a very large network, specially regarding the stability of ALOHA-type protocols. Keywords: Mean field approximation, Radio communication, Slotted ALOHA, Stability, Markov chains

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