Recently, flexible pressure sensors (FPSs) have attracted intensive attention owing to their ability to mimic and function as electronic skin. Some sensors are exploited with a biological structure dielectric layer for high sensitivity and detection. However, traditional sensors with bionic structures usually suffer from a limited range for high‐pressure scenes due to their high sensitivity and high hysteresis in the medium pressure range. Here, a reconfigurable flea bionic structure FPS based on 3D printing technology, which can meet the needs of different scenes via tailoring of the dedicated structural parameters, is proposed. FPS exhibits high sensitivity (1.005 kPa−1 in 0–1 kPa), wide detection range (200 kPa), high repeatability (6000 cycles in 10 kPa), low hysteresis (1.3%), fast response time (40 ms), and very low detection limit (0.5 Pa). Aiming at practical application implementation, FPS has been correspondingly placed on a finger, elbow, arm, neck, cheek, and manipulators to detect the actions of various body parts, suggestive of excellent applicability. It is also integrated to make a flexible 3 × 3 sensor array for detecting spatial pressure distribution. The results indicate that FPS exhibits a significant application potential in advanced biological wearable technologies, such as human motion monitoring.

Low-duty-cycle operation has been adopted to alleviate the consumption rate of energy, which is significant for the power scarcity sensor networks. The sleep latency brought by low-duty-cycle mode, however, leads to a dramatic increase of delay, which may not be tolerable for delay-sensitive applications. In this work, we introduce the transmission power control mechanism into low-duty-cycle sensor networks. Particularly, we propose Delay-bounded Transmission Power Control (DTPC), a cross-layer approach, to minimize the energy consumption of sensor nodes while meeting the user-specified delay constraint. In DTPC, each node builds its own transmission table using dynamical programming and then adaptively selects the approximate forwarding entry according to the delay bound. In addition, our design is embedded to support both single-parent and multi-parent data forwarding scheme. The extensive simulations and test-bed experiment results show that DTPC can guarantee the delay bound with much lower energy cost compared with other well-known schemes.

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