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It is proved that under a condition of automorphism-based transition consistency, the associated Markov chain is strongly aggregable for an arbitrary graph with a non-trivial automorphism group.
Energy packets can dictate the success of data transmission in sensor networks, revealing critical dependencies between sender and receiver energy states.