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Transformations from shared memory model to Wireless Sensor Networks (WSNs) quickly become inefficient in the presence of prevalent message losses in WSNs, and this prohibits their wider adoption. To address this problem, the authors propose a variation of the shared memory model, the SF shared memory model, where the actions of each node are partitioned into slow actions and fast actions. The traditional shared memory model consists only of fast actions and a lost message can disable the nodes from execution. Slow actions, on the other hand, enable the nodes to use slightly stale state from other nodes, so a message loss does not prevent the node from execution.
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