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Abating LPL-induced Latency with Wake-up Radio Technology: Demo Abstract

Published: 18 April 2017 Publication History
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    We are concerned with IoT applications where communication among resource constrained, battery powered devices exchange data wirelessly. Traditionally, these devices keep energy consumption at bay by sending their radio to sleep according to a pre-defined duty cycle (Low Power Listening, or LPL). This, however, increases data latency dramatically. In order to reduce these delays, recent research has investigated the use of wake-up radios, namely, additional low-cost, ultra-low power radios operating at a different frequency than the main radio. In this way, by spending energy comparable to that of a node in sleep mode nodes can wake up their neighbors as soon as they have a packet to send, no longer needing to wait for the neighbors to wake up. This demonstration provides evidence of how by using wake-up radios we can abate the latency imposed by LPL. We show a simple chat application where messages from Alice to Bob are transmitted concurrently between two pairs of MagoNodes++, one with wake-up capabilities and the other using LPL. For each message received by Bob, latency information is shown, along with information regarding the time when the main radio is on. This allows us to clearly quantify the advantage of using wake-up radios for faster message exchange and for shortening the time the main radio is unnecessarily on.

    References

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    [2]
    M. Paoli, D. Spenza, C. Petrioli, M. Magno, and L. Benini. 2016. MagoNode++: A Wake-up Radio-enabled Wireless Sensor Mote for Energy-neutral Applications. In Proceedings of ACM/IEEE IPSN 2016 (Poster Session). 57:1--57:2.
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    C. Petrioli, D. Spenza, P. Tommasino, and A. Trifiletti. 2014. A Novel Wake-up Receiver with Addressing Capability for Wireless Sensor Nodes. In Proceedings of IEEE DCoSS 2014. 18--25.
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    D. Porcarelli, D. Spenza, D. Brunelli, A. Cammarano, C. Petrioli, and L. Benini. 2014. Adaptive Rectifier Driven by Power Intake Predictors for Wind Energy Harvesting Sensor Networks. IEEE Journal of Emerging and Selected Topics in Power Electronics 3, 2 (2014), 471--482.
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    D. Spenza, M. Magno, S. Basagni, L. Benini, M. Paoli, and C. Petrioli. 2015. Beyond Duty Cycling: Wake-up Radio with Selective Awakenings for Long-lived Wireless Sensing Systems. In Proceedings of IEEE Infocom 2015. Hong Kong, China, 522--530.

    Cited By

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    • (2022)Experimental Evaluation of Wake-up Radio Ranges for UAV-assisted Mobile Data Collection2022 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC51071.2022.9771748(716-721)Online publication date: 10-Apr-2022
    • (2022)On the Effectiveness of Semantic Addressing for Wake-up Radio-enabled Wireless Sensor Networks2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)10.1109/PIMRC54779.2022.9977734(794-799)Online publication date: 12-Sep-2022
    • (2019)Multi-Hop Wake-Up Radio Relaying for the Collection Tree Protocol2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)10.1109/VTCFall.2019.8891447(1-6)Online publication date: Sep-2019
    • Show More Cited By

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    cover image ACM Conferences
    IoTDI '17: Proceedings of the Second International Conference on Internet-of-Things Design and Implementation
    April 2017
    353 pages
    ISBN:9781450349666
    DOI:10.1145/3054977
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 18 April 2017

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    Author Tags

    1. Wake-up radio
    2. low-latency IoT applications

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    View all
    • (2022)Experimental Evaluation of Wake-up Radio Ranges for UAV-assisted Mobile Data Collection2022 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC51071.2022.9771748(716-721)Online publication date: 10-Apr-2022
    • (2022)On the Effectiveness of Semantic Addressing for Wake-up Radio-enabled Wireless Sensor Networks2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)10.1109/PIMRC54779.2022.9977734(794-799)Online publication date: 12-Sep-2022
    • (2019)Multi-Hop Wake-Up Radio Relaying for the Collection Tree Protocol2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)10.1109/VTCFall.2019.8891447(1-6)Online publication date: Sep-2019
    • (2018)A Comparative Performance Evaluation of Wake-Up Radio-Based Data Forwarding for Green Wireless Networks2018 27th International Conference on Computer Communication and Networks (ICCCN)10.1109/ICCCN.2018.8487429(1-9)Online publication date: Jul-2018
    • (2017)WHARP: A Wake-Up Radio and Harvesting-Based Forwarding Strategy for Green Wireless Networks2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)10.1109/MASS.2017.18(257-265)Online publication date: Oct-2017

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