Mobility

Efficient Predictive Monitoring of Wireless Sensor Networks

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Executive Summary

Wireless Sensor Networks (WSN) are deployed to monitor physical events such as fire, or the state of physical objects such as bridges in order to support appropriate reaction to avoid potential damages. However, many situations require immediate attention or long reaction plan. Therefore, the classical approach of just detecting the physical events may not suffice in many cases. The authors present a WSN level event prediction framework to forecast the physical events well in advance. The approach is generic and allows to predict also the network events such as network partitioning, thus supporting 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 to meet its desired operational requirements.

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