Behavior monitoring framework in large-scale wireless sensor networks

Feng Wang; Jianhua Gao

doi:10.1109/PCCC.2010.5682317

Behavior monitoring framework in large-scale wireless sensor networks

Feng Wang, Jianhua Gao

Mathematical and Natural Sciences, School of (SMNS)

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2010 IEEE 29th International Performance Computing and Communications Conference, IPCCC 2010
Pages	138-145
Number of pages	8
DOIs	https://doi.org/10.1109/PCCC.2010.5682317
State	Published - 2010
Event	2010 IEEE 29th International Performance Computing and Communications Conference, IPCCC 2010 - Albuquerque, NM, United States Duration: Dec 9 2010 → Dec 11 2010

Publication series

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

Other

Other	2010 IEEE 29th International Performance Computing and Communications Conference, IPCCC 2010
Country/Territory	United States
City	Albuquerque, NM
Period	12/9/10 → 12/11/10

ASJC Scopus subject areas

Engineering(all)

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10.1109/PCCC.2010.5682317

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). Article 5682317 (Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference). https://doi.org/10.1109/PCCC.2010.5682317

Behavior monitoring framework in large-scale wireless sensor networks. / Wang, Feng; Gao, Jianhua.
2010 IEEE 29th International Performance Computing and Communications Conference, IPCCC 2010. 2010. p. 138-145 5682317 (Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 5682317, Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference, pp. 138-145, 2010 IEEE 29th International Performance Computing and Communications Conference, IPCCC 2010, Albuquerque, NM, United States, 12/9/10. https://doi.org/10.1109/PCCC.2010.5682317

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AB - 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.

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Behavior monitoring framework in large-scale wireless sensor networks

Abstract

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ASJC Scopus subject areas

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