Redundant Data Minimization Using Minimal Mean Distant Scalar Leader Selection for Event Driven Camera Actuation

This article reports a novel scheme called minimal mean distant scalar leader selection inspired by event driven camera actuation for redundant data minimization. The proposed algorithm aims at actuating minimum number of cameras while maximizing the event area coverage and reducing the resulting traffic overhead. This is accomplished by effective selection of scalar leaders in each sub-region of the monitored region and the chosen scalar leaders operate as informants for event information communication to their respective camera sensors. The less camera actuation with enhanced coverage ratio, minimized redundancy ratio and reduced energy expenditure obtained from the experimentation reveal the effectiveness of the proposed algorithm as compared to three other recent approaches.

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