Energy efficiency and delay optimization are significant for the proliferation of wireless multimedia sensor network (WMSN). In\nthis article, an energy-efficient, delay-efficient, hardware and software cooptimization platformis researched to minimize the energy\ncost while guaranteeing the deadline of the real-time WMSN tasks. First, a multicore reconfigurable WMSN hardware platform\nis designed and implemented. This platform uses both the heterogeneous multicore architecture and the dynamic voltage and\nfrequency scaling (DVFS) technique. By this means, the nodes can adjust the hardware characteristics dynamically in terms of the\nsoftware run-time contexts. Consequently, the software can be executedmore efficiently with less energy cost and shorter execution\ntime. Then, based on this hardware platform, an energy and delay multiobjective optimization algorithm and a DVFS adaption\nalgorithm are investigated. These algorithms aim to search out the global energy optimization solution within the acceptable\ncalculation time and strip the time redundancy in the task executing process. Thus, the energy efficiency of the WMSN node\ncan be improved significantly even under strict constraint of the execution time. Simulation and real-world experiments proved\nthat the proposed approaches can decrease the energy cost by more than 29% compared to the traditional single-coreWMSN node.\nMoreover, the node can react quickly to the time-sensitive events.
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