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MPM: Map based Predictive Monitoring for Wireless Sensor Networks

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MPM: Map based Predictive Monitoring for Wireless Sensor Networks. / Ali, A.; Khelil, A.; Shaikh, F.K. et al.
Autonomic Computing and Communications Systems: Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers. Vol. 23 LNICST Springer, 2010. p. 79-95.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Ali, A, Khelil, A, Shaikh, FK & Suri, N 2010, MPM: Map based Predictive Monitoring for Wireless Sensor Networks. in Autonomic Computing and Communications Systems: Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers. vol. 23 LNICST, Springer, pp. 79-95. https://doi.org/10.1007/978-3-642-11482-3_6

APA

Ali, A., Khelil, A., Shaikh, F. K., & Suri, N. (2010). MPM: Map based Predictive Monitoring for Wireless Sensor Networks. In Autonomic Computing and Communications Systems: Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers (Vol. 23 LNICST, pp. 79-95). Springer. https://doi.org/10.1007/978-3-642-11482-3_6

Vancouver

Ali A, Khelil A, Shaikh FK, Suri N. MPM: Map based Predictive Monitoring for Wireless Sensor Networks. In Autonomic Computing and Communications Systems: Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers. Vol. 23 LNICST. Springer. 2010. p. 79-95 doi: 10.1007/978-3-642-11482-3_6

Author

Ali, A. ; Khelil, A. ; Shaikh, F.K. et al. / MPM : Map based Predictive Monitoring for Wireless Sensor Networks. Autonomic Computing and Communications Systems: Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers. Vol. 23 LNICST Springer, 2010. pp. 79-95

Bibtex

@inbook{e23eed18c3d14e6faddca353ab391e9a,
title = "MPM: Map based Predictive Monitoring for Wireless Sensor Networks",
abstract = "We present the design of a Wireless Sensor Networks (WSN) level event prediction framework to monitor the network and its operational environment to support proactive self* actions. For example, by monitoring and subsequently predicting trends on network load or sensor nodes energy levels, theWSN can proactively initiate self-reconfiguration. We propose a Map based Predictive Monitoring (MPM) approach where a selected WSN attribute is first profiled as WSN maps, and based on the maps history, predicts future maps using time series modeling. The {"}attribute{"} maps are created using a gridding technique and predicted maps are used to detect events using our regioning algorithm. The proposed approach is also a general framework to cover multiple application domains. For proof of concept, we show MPM's enhanced ability to also accurately {"}predict{"} the network partitioning, accommodating parameters such as shape and location of the partition with a very high accuracy and efficiency. {\textcopyright} Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering 2010.",
keywords = "Event prediction, Predicitve Monitoring, Time series analysis, Wireless Sensor Networks, Gridding, Multiple applications, Network load, Network partitioning, Operational environments, Predictive monitoring, Proof of concept, Self reconfiguration, Time series modeling, Forecasting, Sensor nodes, Sensors, Telecommunication equipment, Time series, Wireless networks",
author = "A. Ali and A. Khelil and F.K. Shaikh and Neeraj Suri",
year = "2010",
doi = "10.1007/978-3-642-11482-3_6",
language = "English",
isbn = "3642114814 ",
volume = "23 LNICST",
pages = "79--95",
booktitle = "Autonomic Computing and Communications Systems",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - MPM

T2 - Map based Predictive Monitoring for Wireless Sensor Networks

AU - Ali, A.

AU - Khelil, A.

AU - Shaikh, F.K.

AU - Suri, Neeraj

PY - 2010

Y1 - 2010

N2 - We present the design of a Wireless Sensor Networks (WSN) level event prediction framework to monitor the network and its operational environment to support proactive self* actions. For example, by monitoring and subsequently predicting trends on network load or sensor nodes energy levels, theWSN can proactively initiate self-reconfiguration. We propose a Map based Predictive Monitoring (MPM) approach where a selected WSN attribute is first profiled as WSN maps, and based on the maps history, predicts future maps using time series modeling. The "attribute" maps are created using a gridding technique and predicted maps are used to detect events using our regioning algorithm. The proposed approach is also a general framework to cover multiple application domains. For proof of concept, we show MPM's enhanced ability to also accurately "predict" the network partitioning, accommodating parameters such as shape and location of the partition with a very high accuracy and efficiency. © Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering 2010.

AB - We present the design of a Wireless Sensor Networks (WSN) level event prediction framework to monitor the network and its operational environment to support proactive self* actions. For example, by monitoring and subsequently predicting trends on network load or sensor nodes energy levels, theWSN can proactively initiate self-reconfiguration. We propose a Map based Predictive Monitoring (MPM) approach where a selected WSN attribute is first profiled as WSN maps, and based on the maps history, predicts future maps using time series modeling. The "attribute" maps are created using a gridding technique and predicted maps are used to detect events using our regioning algorithm. The proposed approach is also a general framework to cover multiple application domains. For proof of concept, we show MPM's enhanced ability to also accurately "predict" the network partitioning, accommodating parameters such as shape and location of the partition with a very high accuracy and efficiency. © Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering 2010.

KW - Event prediction

KW - Predicitve Monitoring

KW - Time series analysis

KW - Wireless Sensor Networks

KW - Gridding

KW - Multiple applications

KW - Network load

KW - Network partitioning

KW - Operational environments

KW - Predictive monitoring

KW - Proof of concept

KW - Self reconfiguration

KW - Time series modeling

KW - Forecasting

KW - Sensor nodes

KW - Sensors

KW - Telecommunication equipment

KW - Time series

KW - Wireless networks

U2 - 10.1007/978-3-642-11482-3_6

DO - 10.1007/978-3-642-11482-3_6

M3 - Chapter

SN - 3642114814

SN - 9783642114816

VL - 23 LNICST

SP - 79

EP - 95

BT - Autonomic Computing and Communications Systems

PB - Springer

ER -