We present radio-frequency (RF) information harvesting, a chan-nel sensing technique that takes advantage of the energy in the wireless medium to detect channel activity at essentially no en-ergy cost. RF information harvesting is essential for event-driven wireless sensing applications using battery-less devices that har-vest tiny amounts of energy from impromptu events, such as op-erating a switch, and then transmit the event notification to a one-hop gateway. As multiple such devices may concurrently de-tect events, coordinating access to the channel is key. RF infor-mation harvesting allows devices to break the symmetry between concurrently-transmitting devices based on the harvested energy from the ongoing transmissions. To demonstrate the benefits of RF information harvesting, we integrate it in a tailor-made ultra low-power hardware MAC protocol we call Radio Frequency-Distance Packet Queuing (RF-DiPaQ). We build a hardware/software proto-type of RF-DiPaQ and use an established Markov framework to study its performance at scale. Comparing RF-DiPaQ against sta-ple contention-based MAC protocols, we show that it outperforms pure Aloha and 1-CSMA by factors of 3.55 and 1.21 respectively in throughput, while it saturates at more than double the offered load compared to 1-CSMA. As traffic increases, the energy saving of RF-DiPaQ against CSMA protocols increases, consuming 36% less energy than np-CSMA at typical offered loads.
|Title of host publication||Proceedings of the 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)|
|Place of Publication||Piscataway|
|Number of pages||13|
|Publication status||Published - 2022|
|Event||2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) - Milano, Italy|
Duration: 4 May 2022 → 6 May 2022
Conference number: 21st
|Conference||2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)|
|Abbreviated title||IPSN 2022|
|Period||4/05/22 → 6/05/22|
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