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The authors introduce a distributed grid-based scheduling access scheme that mitigates high data loss in data intensive sensor networks. Their approach alleviates transmission collisions by applying virtual grids and adopting Latin Squares Characteristic to time slot assignments. They demonstrate that their technique efficiently handles sensor mobility with acceptable data loss and low overhead. Smart sensor networks naturally apply to a broad range of applications that involve system monitoring and information tracking (e.g., airport security infrastructure, monitoring of children in metropolitan areas, product transit in warehouse networks, fine-grained environmental measurements, etc.).
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