Providing Automated Actions in Wireless Multimedia Sensor Networks via Active Rules

Manual processing of multimedia data in Wireless Multimedia Sensor Networks (WMSNs) may not always be possible. This necessitates autonomous operation of data processing at the sink for taking actions as well as communicating with the appropriate personnel whenever needed. In this paper, we propose a framework for fusing and automated processing of incomplete/imprecise WMSN data using active rules. First, data fusion is performed via fuzzy logic to handle the uncertainty in the received data at the sink. We then extend Event-Condition-Action (ECA) rules to process the data and infer predefined actions. The proposed approach has been shown to provide automated actions with higher accuracies.