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This paper presents a method for remotely and dynamically determining theexecution schedule of long-running tasks on intermittently powered devices suchas computational RFID. Our objective is to prevent brown-out events caused bysudden power-loss due to the intermittent nature of the powering channel. Weformulate, validate and demonstrate that the read-rate measured from an RFIDreader (number of successful interrogations per second) can provide an adequatemeans of estimating the powering channel condition for passively powered CRFIDdevices. This method is attractive because it can be implemented withoutimposing an added burden on the device or requiring additional hardware. Wefurther propose ReaDmE, a dynamic execution scheduling scheme to mitigatebrownout events to support long-run execution of complex tasks, such ascryptographic algorithms, on CRFID. Experimental results demonstrate that theReaDmE method can improve CRFID's long-run execution success rate by 20% at thecritical operational range or reduce time overhead by up to 23% compared toprevious execution scheduling methods.

ReaDmE: Read-Rate Based Dynamic Execution Scheduling for Intermittent RF-Powered Devices