Behavior monitoring framework in large-scale wireless sensor networks

Feng Wang, Jianhua Gao

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

3 Scopus citations

Abstract

Wireless sensor networks (WSNs) have been increasingly deployed for both civil and military applications under harsh, unpredictable or open environments. Such environments create opportunities for the intruders to launch a variety of attacks on multiple protocol layers in WSNs. This paper proposes a behavior monitoring and analysis framework for large scale WSNs. Within this framework, we address the monitor node selection problem and introduce a dedicated monitor nodes approach and propose a greedy algorithm for selecting monitor nodes. The simulation results show that the greedy algorithm is efficient in terms of monitor node set size.

Original languageEnglish (US)
Title of host publication2010 IEEE 29th International Performance Computing and Communications Conference, IPCCC 2010
Pages138-145
Number of pages8
DOIs
StatePublished - Dec 1 2010
Event2010 IEEE 29th International Performance Computing and Communications Conference, IPCCC 2010 - Albuquerque, NM, United States
Duration: Dec 9 2010Dec 11 2010

Publication series

NameConference Proceedings of the IEEE International Performance, Computing, and Communications Conference

Other

Other2010 IEEE 29th International Performance Computing and Communications Conference, IPCCC 2010
CountryUnited States
CityAlbuquerque, NM
Period12/9/1012/11/10

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Wang, F., & Gao, J. (2010). Behavior monitoring framework in large-scale wireless sensor networks. In 2010 IEEE 29th International Performance Computing and Communications Conference, IPCCC 2010 (pp. 138-145). [5682317] (Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference). https://doi.org/10.1109/PCCC.2010.5682317