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While most IoT projects focus on well-controlled environments, this paper focuses on IoT applications in the wild, i.e., rugged outdoor environments. Hazard warnings in outdoor monitoring solutions require reliable pattern detection mechanisms, while data may be streamed from a variety of sensors with intermittent communication. This paper introduces the Morepork system for managing application-level Quality of Service in stream queries for rugged IoT environments. It conceptually treats errors as first class citizens and quantifies the impact on application level. We present a proof of concept implementation, which uses real-world data from New Zealand forestry workers.

Managing Application-level QoS for IoT Stream Queries in Hazardous Outdoor Environments