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A sensor network, unlike a traditional communication network, is deeply embedded in physical environments and its operation is mainly driven by the event activities in the environment. In long-term operations, the event activities usually show certain patterns that can be learned and exploited to optimize the network design. However, this has been under explored in the literature. One work related to this is using Activity Transition Probability Graph (ATPG) for radio duty cycling. In this paper, the authors present a novel Energy and Activity-aware Routing (EAR) protocol for sensor networks.
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