Link quality aware and content centric data aggregation in lossy wireless networks

Yichao Jin, Sedat Gormus, Parag Kulkarni, Mahesh Sooriyabandara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In low-power and lossy wireless networks, message delivery could be jeopardized by factors such as channel conditions, noise, interference etc. This can lead to communication retransmissions, resulting in significant energy depletion and consequently consumes limited on-node energy resources. This paper elaborates on a two-pronged approach to improve energy efficiency and reliability of communications: A) the application of content-centric data aggregation (pre-processing of correlated information) at each node to reduce traffic volume, and b) the use of link quality information to estimate local network lifetime while routing traffic. A novel objective function is proposed which ties the two together and findings from a performance evaluation are presented. It is shown that the proposed mechanism is able to achieve significant energy savings and prolongs the network lifetime in energy constrained multi-hop networks with lossy wireless links.

Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3082-3087
Number of pages6
ISBN (Electronic)9781479930838
DOIs
Publication statusPublished - Apr 3 2016
Externally publishedYes
Event2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey
Duration: Apr 6 2014Apr 9 2014

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Other

Other2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
Country/TerritoryTurkey
CityIstanbul
Period4/6/144/9/14

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Link quality aware and content centric data aggregation in lossy wireless networks'. Together they form a unique fingerprint.

Cite this