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A Survey on Low Power Network Protocols for the Internet of Things and Wireless Sensor Networks

Published: 19 July 2017 Publication History
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  • Abstract

    Low power communication is becoming an increasingly critical factor in the design and implementation of large-scale Internet of Things (IoT) and Wireless Sensor Networks (WSN). Recently, new protocols have been introduced to help reduce such system's power can cost. This paper presents a survey of recent research on low power consumption networking for IoT and WSN systems, highlighting the move from battery life of hours or days to months and years Then the paper flags some Cyber Security vulnerabilities of specific IoT interest as well as identifying key areas for further work.

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    • (2023)Role and Applications of Emerging Technologies in Smart City ArchitectureCryptology and Network Security with Machine Learning10.1007/978-981-99-2229-1_1(2-14)Online publication date: 18-Oct-2023
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    Published In

    cover image ACM Other conferences
    ICFNDS '17: Proceedings of the International Conference on Future Networks and Distributed Systems
    July 2017
    325 pages
    ISBN:9781450348447
    DOI:10.1145/3102304
    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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    New York, NY, United States

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    Published: 19 July 2017

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    Author Tags

    1. BLE
    2. Backfi
    3. Battery Life
    4. Bluetooth Low Energy
    5. Internet of Things
    6. IoT
    7. NFC
    8. Neul
    9. SigFox LoRaWAN
    10. Thread
    11. Wi-Fi
    12. Z-Wave
    13. Zigbee

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    Cited By

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    • (2023)Context-Aware Routing in Fog Computing SystemsIEEE Transactions on Cloud Computing10.1109/TCC.2021.310299611:1(532-549)Online publication date: 1-Jan-2023
    • (2023)IoT applications and challenges in smart cities and servicesThe Journal of Engineering10.1049/tje2.122622023:4Online publication date: 24-Apr-2023
    • (2023)Role and Applications of Emerging Technologies in Smart City ArchitectureCryptology and Network Security with Machine Learning10.1007/978-981-99-2229-1_1(2-14)Online publication date: 18-Oct-2023
    • (2022)Energy Sustainability in Wireless Sensor Networks: An Analytical SurveyJournal of Low Power Electronics and Applications10.3390/jlpea1204006512:4(65)Online publication date: 16-Dec-2022
    • (2022)Localization of transport and logistics units through IoT TechnologiesTransport and Communications10.26552/tac.C.2022.1.410:1(16-21)Online publication date: 31-May-2022
    • (2022)Use of Machine Learning and IoT for Monitoring and Tracking of Livestock2022 25th International Conference on Computer and Information Technology (ICCIT)10.1109/ICCIT57492.2022.10055766(815-820)Online publication date: 17-Dec-2022
    • (2021)Energy Efficiency in Short and Wide-Area IoT Technologies—A SurveyTechnologies10.3390/technologies90100229:1(22)Online publication date: 19-Mar-2021
    • (2021)DIGEST: a decentralized divergecast scheduling algorithm for IEEE 802.15.4e TSCH in the internet of thingsWireless Networks10.1007/s11276-021-02722-yOnline publication date: 11-Aug-2021
    • (2020)Operating models of Network protocols IoT: Short-range protocols2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT)10.1109/ISAECT50560.2020.9523646(1-6)Online publication date: 25-Nov-2020
    • (2019)An IoT Architecture for Continuous Livestock Monitoring Using LoRa LPWANElectronics10.3390/electronics81214358:12(1435)Online publication date: 1-Dec-2019
    • Show More Cited By

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