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In sensory swarms, minimizing energy consumption under performance constraint is one of the key objectives. One possible approach to this problem is to monitor application workload that is subject to change at runtime, and to adjust system configuration adaptively to satisfy the performance goal. As today's sensory swarms are usually implemented using multi-core processors with adjustable clock frequency, we propose to monitor the CPU workload periodically and adjust the task-to-core allocationdoi:10.3390/s17091955 pmid:28837094 pmcid:PMC5620963 fatcat:vaxcwebrbzh3lmdaxcq52xonbm