Expectation aware in-network context processing

We present a novel approach for in-network context processing in wireless resource restricted networks. The method reduces the computational complexity and communication load in a network and is therefore well suited for application in resource restricted wireless sensor networks. Additionally, we separate context aggregation and interpretation and fairly distribute the processing load of context aggregation among individual devices in a network. Context interpretation is applied by the last device in this context processing chain. This context interpretation can respect differing and even contradictory expectations although context is processed only once.

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