Distributed Embedded Systems - Validation Strategies by Matthias Dyer

By Matthias Dyer

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For the standby state, we thus have a power consumption of 2 · Ps . When data is transmitted/received, the power consumption is Pa = Ptx + Prx . The transition from state standby to state transmitting/receiving takes time Ti with power consumption Pa . As long as the channel stays connected and is not transmitting/receiving data, the devices are in an idle state with a power consumption of 2 · Pi . We consider two modes (Fig. 7): in continuous mode, the channel performs the sequence idle–transmitting/receiving–idle, and in burst mode we find standby–transmitting/receiving–standby.

5. Exploration Results 37 3500 C wired System Wearability 3000 worse 2500 WearArm/WearNet 2000 better 1500 wireless A B 1000 10 15 20 25 30 35 System Power Consumption [mW] 40 45 Fig. 10: Final population of a design space exploration run. The dotted line represents the Pareto front with the Pareto-optimal design points. All points on the upper right side of the Pareto front are dominated by at least one Pareto point. The figure also shows three selected architectures (A, B, C) and the WearARM/WearNET system for comparison.

The following equations show how the power consumption is determined. The module power consumption Pmod is the accumulated power consumption of all allocated devices and channels for a specific module m in a scenario s. 10). The scenario power consumption Pscen of a specific scenario s is defined as the accumulated module power consumption Pmod of all modules m: s = Pscen m,s Pmod . 3 s∈S s s Pscen · Wscen . 13) Wearability The module wearability factor Fmod is the sum of the abstract wearability factors of all allocated resources for a specific module m at a given location p.

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