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Context-awareness refers to the ability of an application to understand the situation from the sensed information and provides service(s) accordingly with the minimum human intervention. Context-aware IoT applications collect high-level contexts (HLCs) instead of the raw sensor data from the sensor networks to take the required actions in real-time. Inferring contexts accurately with low network traffic, latency, and energy consumption is a challenging task. Existing on-node data processing mechanisms provide only low-level events which do not support the fusion of multi-variate sensor data collected from multiple sensor nodes. On the other hand, inferring the HLCs at gateway, requires transmission of sensed data from the edge of the network to gateway (out-network) which incurs high network traffic and energy consumption. In this paper, we propose a naive computationally lightweight in-network context …