back to publications overview

Wireless Sensor Network Anomalies: Diagnosis and Detection Strategies


Jurdak, Raja, Wang, X. Rosalind, Obst, Oliver, and Valencia, Philip. Chapter: 12. In Kacprzyk, Janusz, Jain, Lakhmi C., Tolk, Andreas, and Jain, Lakhmi C., editors, Wireless Sensor Network Anomalies: Diagnosis and Detection Strategies, Intelligent Systems Reference Library, pp. 309–325, Springer, Berlin, Heidelberg, 2011.


Download

[PDF] (419 kb)


Abstract

Wireless Sensor Networks (WSNs) can experience problems (anomalies) during deployment, due to dynamic environmental factors or node hardware and software failures. These anomalies demand reliable detection strategies for supporting long term and/or large scale WSN deployments. Several strategies have been proposed for detecting specific subsets of WSN anomalies, yet there is still a need for more comprehensive anomaly detection strategies that jointly address network, node, and data level anomalies. This chapter examines WSN anomalies from an intelligent-based system perspective, covering anomalies that arise at the network, node and data levels. It generalizes a simple process for diagnosing anomalies in WSNs for detection, localization, and root cause determination. A survey of existing anomaly detection strategies also reveals their major design choices, including architecture and user support, and yields guidelines for tailoring new anomaly detection strategies to specific WSN application requirements.

BiBTeX Entry


@InBook{	  JWOV11,
  abstract	= {Wireless Sensor Networks (WSNs) can experience problems
		   (anomalies) during deployment, due to dynamic environmental factors or node
		   hardware and software failures. These anomalies demand reliable detection
		   strategies for supporting long term and/or large scale WSN deployments.
		   Several strategies have been proposed for detecting specific subsets of WSN
		   anomalies, yet there is still a need for more comprehensive anomaly
		   detection strategies that jointly address network, node, and data level
		   anomalies. This chapter examines WSN anomalies from an intelligent-based
		   system perspective, covering anomalies that arise at the network, node and
		   data levels. It generalizes a simple process for diagnosing anomalies in
		   WSNs for detection, localization, and root cause determination. A survey of
		   existing anomaly detection strategies also reveals their major design
		   choices, including architecture and user support, and yields guidelines for
		   tailoring new anomaly detection strategies to specific WSN application
		   requirements.},
  address	= {Berlin, Heidelberg},
  affiliation	= {CSIRO ICT Centre, Australia},
  author	= {Jurdak, Raja and Wang, X. Rosalind and Obst, Oliver and
		   Valencia, Philip},
  booktitle	= {Intelligence-Based Systems Engineering},
  chapter	= {12},
  doi		= {10.1007/978-3-642-17931-0_12},
  editor	= {Kacprzyk, Janusz and Jain, Lakhmi C. and Tolk, Andreas
		   and Jain, Lakhmi C.},
  isbn		= {978-3-642-17931-0},
  keyword	= {wireless sensor networks, anomaly detection, diagnosis},
  pages 	= {309--325},
  publisher	= {Springer},
  series	= {Intelligent Systems Reference Library},
  title 	= {Wireless Sensor Network Anomalies: Diagnosis and
		   Detection Strategies},
  volume	= {10},
  year		= {2011},
 ,
}