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On buffer overflow duration in WSN with a vacation-type power saving mechanism

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

A queue-based model of WSN's node with power saving mechanism described by the single vacation policy is considered. Whenever the queue of packets directed to the node becomes empty, the radio transmitter/receiver is being switched off for a random and generally distributed time period. During the vacation the processing is blocked and the incoming packets are buffered. Modelling the transient behavior of the node by an M/G/1/N-type system with single server vacations, the CDF (cumulative distribution function) of buffer overflow duration, conditioned by the initial buffer state, is investigated. Applying analytical approach based on the idea of embedded Markov chain, integral equations and linear algebra, the compact-form representation for the first buffer overflow duration CDF is found. Hence, the formula for the CDF of next such periods is derived. Moreover, probability distributions of the number of packet losses in successive buffer overflow periods are found. Numerical example is attached as well.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Systems, Signals and Image Processing, IWSSIP 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781509063444
DOIs
Publication statusPublished - 30 Jun 2017
Event24th International Conference on Systems, Signals and Image Processing, IWSSIP 2017 - Poznan, Poland
Duration: 22 May 201724 May 2017

Publication series

NameInternational Conference on Systems, Signals, and Image Processing
ISSN (Print)2157-8672
ISSN (Electronic)2157-8702

Conference

Conference24th International Conference on Systems, Signals and Image Processing, IWSSIP 2017
Country/TerritoryPoland
CityPoznan
Period22/05/1724/05/17

Keywords

  • buffer overflow
  • packet losses
  • power saving
  • single vacation
  • wireless sensor network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Software

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