As we show in this paper, I/O has become the limiting factor in scaling down size and power toward the goal of invisible computing. Achieving this goal will require composing optimized and specialized---yet reusable---components with an interconnect that permits tiny, ultra-low power systems. In contrast to today's interconnects which are limited by power-hungry pull-ups or high-overhead chip-select lines, our approach provides a superset of common bus features but at lower power, with fixed area and pin count, using fully synthesizable logic, and with surprisingly low protocol overhead.

An ARM-based sensing platform powered entirely by small-scale benthic microbial fuel cells (MFCs) for oceanic sensing applications is presented. The ultra-low power chip featuring an ARM Cortex-M0 processor, 3kB of SRAM, and power management unit (PMU) with energy harvesting from MFCs is designed to consume 11nW in sleep mode for perpetual sensing operation. A small-scale micro-MFC with 21.3cm2anode surface area was connected to the on-chip PMU to charge a thin film battery of 1mAh capacity. A 49.3-hour long-term experiment with 8-min sleep interval and 1 sec wake-up time demonstrated the sustainability of chip-on-mud concept. During sleep mode, the system charges the 4V battery at 380nA from the micro-MFC generating 5.4μW of power, which can support up to 20mA of active mode current.

We present a self-adapting power management unit (PMU) for ultra-low power wireless sensor nodes. The PMU uses 1.03nF of on-chip MIM capacitance in a reconfigurable switched-capacitor network (SCN) that automatically adapts to different battery voltages for down-conversion and different harvesting sources/harvesting conditions for up-conversion. The PMU achieves 63.8% / 60.7% down-conversion efficiency at 17.9μW active mode / 12.8nW sleep mode power loading. With the adaptive down-conversion ratio, load power range is improved by 3.76× and 5.48× in sleep and active mode, respectively. We show how the proposed adaptation method enables harvesting with solar, microbial fuel cell, and thermal energy sources, increases harvesting efficiency by 1.92× and achieves the peak extraction efficiency of 99.8% for solar cell.