Stochastic Petri Nets for Wireless Networks (Record no. 58723)

000 -LEADER
fixed length control field 03481nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-319-16883-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112548.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150408s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319168838
-- 978-3-319-16883-8
082 04 - CLASSIFICATION NUMBER
Call Number 004.6
100 1# - AUTHOR NAME
Author Lei, Lei.
245 10 - TITLE STATEMENT
Title Stochastic Petri Nets for Wireless Networks
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 101 p. 26 illus.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Electrical and Computer Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Stochastic Petri Nets -- Performance Analysis of Opportunistic Schedulers using SPNs -- Performance Analysis of Device-to-Device Communications with Dynamics Interference using SPNs -- Packet Level Wireless Channel Model for OFDM System using SHLPNs -- Conclusions and Outlook.
520 ## - SUMMARY, ETC.
Summary, etc This SpringerBrief presents research in the application of Stochastic Petri Nets (SPN) to the performance evaluation of wireless networks under bursty traffic. It covers typical Quality-of-Service performance metrics such as mean throughput, average delay and packet dropping probability. Along with an introduction of SPN basics, the authors introduce the key motivation and challenges of using SPN to analyze the resource sharing performance in wireless networks. The authors explain two powerful modeling techniques that treat the well-known state space explosion problem: model decomposition and iteration, and model aggregation using stochastic high-level petri nets. The first technique assists in performance analysis of opportunistic scheduling, Device-to-Device communications with full frequency reuse and partial frequency reuse. The second technique is used to formulate a wireless channel mode for cross-layer performance analysis in OFDM system. Stochastic Petri Nets for Wireless Networks reveals useful insights for the design of radio resource management algorithms and a new line of thinking for the performance evaluation of future wireless networks. This material is valuable as a reference for researchers and professionals working in wireless networks and for advanced-level students studying wireless technologies in electrical engineering or computer science.
700 1# - AUTHOR 2
Author 2 Lin, Chuang.
700 1# - AUTHOR 2
Author 2 Zhong, Zhangdui.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-16883-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer communication systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computers.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Systems and Communication Service.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2191-8112
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-- ZDB-2-SCS

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