Delay-aware data collection in wireless sensor networks with mobile nodes

Hailong Huang, Audrey V. Savkin, Chao Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The data delivery delay is a significant measure in wireless sensor networks when the users focus on data freshness. In the previous work, two approaches named: Unusual Message Delivery Path Construction (UMDPC) and Improved-UMDPC (I-UMDPC), target on delivering unusual message to mobile nodes within the allowed latency. The data collection system consists of a set of sensor nodes (S nodes) to detect the environment, a set of mobile nodes (M nodes) attached to buses to collect sensory data, and a set of B nodes deployed at bus stops to assist data delivery. The goal of this work is to investigate the influence of B node coverage on the delay sensitive data delivery performance of the two existing approaches. In this paper, the B node coverage is indicated by the average hop distance between cluster heads and B nodes. We focus on seeking the minimum achieved allowed latency under different B node coverage and demonstrate the results through simulations.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages8875-8878
Number of pages4
ISBN (Electronic)9789881563934
DOIs
Publication statusPublished - 7 Sep 2017
Externally publishedYes
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 201728 Jul 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/1728/07/17

Keywords

  • data collection
  • delay sensitive
  • mobile nodes
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modelling and Simulation

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