Low-power and long-range communication technologies such as LoRa are becoming popular in IoT applications due to their ability to cover kilometers range with milliwatt of power consumption. One of the major drawbacks of LoRa is the data latency and the traffic congestion when the number of devices in the network increases. Especially, the latency arises due to the extreme duty cycling of LoRa end-nodes for reducing the overall energy consumption. To overcome this drawback, we propose a heterogeneous network architecture and an energy-efficient On-demand TDMA communication scheme improving both the device lifetime and the data latency of standard LoRa networks. We combine the capabilities of microwatt wake-up receivers to achieve ultra-low power states and pure asynchronous communication together with the long-range connectivity of LoRa. Experimental results show a data reliability of 100% and a round-trip latency on the order of milliseconds with end devices dissipating less than 46 mJ when active and 1.83 µW during periods of inactivity, lasting up to 3 years on a 1200 mAh Lithium battery.

On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver / Piyare, Rajeev Kumar; Lynn Murphy, Amy; Magno, Michele; Benini, Luca. - ELETTRONICO. - (2018). ((Intervento presentato al convegno IEEE 14th International Conference on Wireless and Mobile Computing, Networking and Communications tenutosi a Cyprus nel 15th -17th October 2018.

On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver

Rajeev Kumar Piyare;Michele Magno;
2018

Abstract

Low-power and long-range communication technologies such as LoRa are becoming popular in IoT applications due to their ability to cover kilometers range with milliwatt of power consumption. One of the major drawbacks of LoRa is the data latency and the traffic congestion when the number of devices in the network increases. Especially, the latency arises due to the extreme duty cycling of LoRa end-nodes for reducing the overall energy consumption. To overcome this drawback, we propose a heterogeneous network architecture and an energy-efficient On-demand TDMA communication scheme improving both the device lifetime and the data latency of standard LoRa networks. We combine the capabilities of microwatt wake-up receivers to achieve ultra-low power states and pure asynchronous communication together with the long-range connectivity of LoRa. Experimental results show a data reliability of 100% and a round-trip latency on the order of milliseconds with end devices dissipating less than 46 mJ when active and 1.83 µW during periods of inactivity, lasting up to 3 years on a 1200 mAh Lithium battery.
IEEE 14th International Conference on Wireless and Mobile Computing, Networking and Communications
New York
IEEE
Piyare, Rajeev Kumar; Lynn Murphy, Amy; Magno, Michele; Benini, Luca
On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver / Piyare, Rajeev Kumar; Lynn Murphy, Amy; Magno, Michele; Benini, Luca. - ELETTRONICO. - (2018). ((Intervento presentato al convegno IEEE 14th International Conference on Wireless and Mobile Computing, Networking and Communications tenutosi a Cyprus nel 15th -17th October 2018.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/217048
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