Rajeev Piyare

University of Trento, DISI - Department of Information Engineering and Computer Science, Graduate Student

Fiji National University, Electronics, Faculty Member

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Supervisors: Dr. Amy Murphy
Phone: +39 320 0126523
Address: Fondazione Bruno Kessler
Via Sommarive 18
38123 Trento
Italy

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James Elkins

School of the Art Institute of Chicago

B. Harun Küçük

University of Pennsylvania

Eric L Ding

New England Complex Systems Institute

Nuno M Garrido

ISCTE - University Institute of Lisbon (ISCTE-IUL)

Aldo Faisal

Imperial College London

Maurizio Forte

Duke University

David Seamon

Kansas State University

Kate Eddens

University of Kentucky

Armando Marques-Guedes

UNL - New University of Lisbon

Paul Tobin

Dublin Institute of Technology

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WaCo: A Wake-Up Radio COOJA Extension for Simulating Ultra Low Power Radios

international conference on embedded wireless systems and networks, Feb 20, 2017

Radio communication remains the primary battery consuming activity in wireless systems. Advances ... more Radio communication remains the primary battery consuming activity in wireless systems. Advances in MAC protocols have enabled significant lifetime improvements, but in systems with low data rate, idle listening, and other communication artifacts can begin to dominate costs. One proposal to combat this is the addition of a second, extremely low power radio component that is always-on. As a consequence of the extremely low power, such radios are incapable of decoding general data, and thus are often delegated the task of listening for a trigger, leading to the terminology wake-up radio , as this extremely low power radio is used to wake up a higher power radio, which is then used for data communication. While wake-up technology has been steadily evolving over the last decade in the hardware arena, few protocols have been developed to exploit it. In this work, we present WaCo , our wake-up radio COOJA extension that allows exploration of the capabilities of the wake-up radio from the desktop environment. We also use our extended simulator to concretely show the potential benefits of the wake-up radio hardware with two, standard data collection protocols. Our results simultaneously confirm that wake-up technology has tremendous potential and that our simulator extension provides an effective mechanism for such exploration.

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

Low-power and long-range communication tech- nologies such as LoRa are becoming popular in IoT ap... more Low-power and long-range communication tech- nologies 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 micro- watt 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 latency on the order of milliseconds with end devices dissipating less than 46 mJ when activ...

Rajeev Piyare

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