Immunizations on small worlds of tree-based wireless sensor networks

Publication: Research - peer-reviewJournal article – Annual report year: 2012

  • Author: Li, Qiao

    School of Automation, Beijing Institute of Technology, China

  • Author: Zhang, Bai-Hai

    School of Automation, Beijing Institute of Technology, China

  • Author: Cui, Ling-Guo

    School of Automation, Beijing Institute of Technology, China

  • Author: Fan, Zhun

    Department of Mechanical Engineering, Technical University of Denmark

  • Author: Vasilakos, Athanasios V.

    Department of Computer and Telecommunications Engineering, University of Western Macedonia, Greece

View graph of relations

The sensor virus is a serious threat, as an attacker can simply send a single packet to compromise the entire sensor network. Epidemics become drastic with link additions among sensors when the small world phenomena occur. Two immunization strategies, uniform immunization and temporary immunization, are conducted on small worlds of tree-based wireless sensor networks to combat the sensor viruses. With the former strategy, the infection extends exponentially, although the immunization effectively reduces the contagion speed. With the latter strategy, recurrent contagion oscillations occur in the small world when the spatial-temporal dynamics of the epidemic are considered. The oscillations come from the small-world structure and the temporary immunization. Mathematical analyses on the small world of the Cayley tree are presented to reveal the epidemic dynamics with the two immunization strategies.
Original languageEnglish
JournalChinese Physics B
Publication date2012
Volume21
Issue5
Pages050205
Number of pages9
ISSN1674-1056
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 2

Keywords

  • Epidemic, Immunization, Small world, Tree-based networks
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

ID: 7969487