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Project

IoBaLeT: Sustainable Internet of Battery-Less Things (loBaLeT)

IoBaLeT: Sustainable Internet of Battery-Less Things

1) Summary of scientific goalsIoBaLeT aims to bring the performance (i.e. throughput, scalability and range) of battery-less IoTnetworks on-par with its battery-powered counterparts, by enabling active rather than passivecommunications and computing. An end-to-end networking solution for battery-less IoT will bedeveloped that will achieve this goal through inter-device cooperation and cross-layer energyawareness.

It will consume at most 5% of the available memory, CPU and energy resources. IoBaLeTpursues 4 scientific objectives:

[S1] Accurate energy prediction models to estimate the short-term energy budget of a device,encompassing the interplay between energy storage (e.g., (super)capacitors or hybrid capacitors),harvesting (e.g., voltaic, piezo, electromagnetic) and consumption (e.g., computing, radio,peripherals) processes. We target an average energy consumption and harvesting predictionaccuracy of 90% based on detailed pre-generated hardware benchmarks, and 80% forbenchmarking-free predictions over a time window of up to 10 minutes.

[S2] Hardware design (i.e., antennas, rectifiers) and multi-antenna transmission techniques forhighly efficient cooperative SWIPT, able to transmit 1mW of DC power in a single hop in a 5x5x3mroom in both line-of-sight (LoS) and non-LoS conditions. Receiver rectenna efficiency > 40% in theinput power range of -10 to 10 dBm. Downlink throughput in line with IoT technologies (Bluetooth,Zigbee) with a power conversion efficiency loss < 5%. This will be extended to a hybrid harvestingsolution, combining SWIPT with solar and vibration energy to achieve 10mW harvested power.

[S3] Scalable channel access and routing protocols for multi-hop SWIPT-enabled battery-less IoTnetworks, able to handle the unpredictable intermittently-powered behaviour of battery-lessdevices. These protocols should support at least 1000 devices connected to an access point over 1or more hops and should be able to achieve an end-to-end latency bound of 30 seconds, at a packetdelivery ratio of 99.9%, assuming 3 routing hops and 1mW energy harvesting efficiency.

[S4] Energy-aware task scheduler for intermittent devices that intelligently decides whichapplication and network tasks to execute at which time, considering task deadlines, data freshness,expected energy consumption of interconnected tasks and available and expected harvestedenergy. The task execution failure rate is targeted to be at most 5%. A reduction to 2% is expectedwhen cooperatively scheduling tasks across battery-less and cloud edge devices.

 

Date:1 Oct 2020 →  Today
Keywords:internet