Conference Proceeding

MPM: Map Based Predictive Monitoring for Wireless Sensor Networks.

Autonomic Computing and Communications Systems 01/2009; DOI:10.1007/978-3-642-11482-3_6 In proceeding of: Autonomic Computing and Communications Systems, Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers
Source: DBLP

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, the WSN 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.

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