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The authors study a joint scheduling and coding problem for collecting multi-snapshots spatial data in a resource constrained sensor network. Motivated by a distributed coding scheme for single snapshot data collection, they generalize the scenario to include multi-snapshots and general coding schemes. Associating a utility function with the recovered data, they aim to maximize the expected utility gain through joint coding and scheduling. They first assume non-mixed coding where coding is only allowed for data of the same snapshot.
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