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TRENDY: an adaptive and context-aware service discovery protocol for 6LoWPANs

Published: 19 June 2012 Publication History

Abstract

We propose, trendy, a new registry-based Service Discovery protocol with context awareness. It uses CoAP-based RESTful web services to provide a standard interoperable interface which can be easily translated from HTTP. In addition, trendy introduces an adaptive timer and grouping mechanism to minimise control overhead and energy consumption. trendy's grouping is based on location tags to localise status maintenance traffic and to compose and offer new group based services. Our simulation results show that trendy techniques reduce the control traffic considerably and also reduce the energy consumption, while offering the optimal service selection.

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  • (2024)Efficient multicast forwarding in low power and lossy networks under RPL non‐storing modeInternational Journal of Communication Systems10.1002/dac.588437:15Online publication date: 4-Jul-2024
  • (2023)Resource Indexing and Querying in Large Connected EnvironmentsFuture Internet10.3390/fi1601001516:1(15)Online publication date: 30-Dec-2023
  • (2021)Social Internet of Things: a novel selection approach for dynamic resources substitutionEvolutionary Intelligence10.1007/s12065-021-00580-316:6(1865-1873)Online publication date: 3-Jun-2021
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    cover image ACM Other conferences
    WOT '12: Proceedings of the Third International Workshop on the Web of Things
    June 2012
    46 pages
    ISBN:9781450316033
    DOI:10.1145/2379756
    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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    Published: 19 June 2012

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    View all
    • (2024)Efficient multicast forwarding in low power and lossy networks under RPL non‐storing modeInternational Journal of Communication Systems10.1002/dac.588437:15Online publication date: 4-Jul-2024
    • (2023)Resource Indexing and Querying in Large Connected EnvironmentsFuture Internet10.3390/fi1601001516:1(15)Online publication date: 30-Dec-2023
    • (2021)Social Internet of Things: a novel selection approach for dynamic resources substitutionEvolutionary Intelligence10.1007/s12065-021-00580-316:6(1865-1873)Online publication date: 3-Jun-2021
    • (2020)LPA-SDP: A Lightweight Privacy-Aware Service Discovery Protocol for IoT Environments2020 IEEE 6th World Forum on Internet of Things (WF-IoT)10.1109/WF-IoT48130.2020.9221392(1-7)Online publication date: Jun-2020
    • (2019)LOAMY: a Cloud-based Middleware for CoAP-based IoT Service Discovery2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP)10.1109/ICACCP.2019.8883000(1-6)Online publication date: Feb-2019
    • (2018)DiRPL: A RPL-Based Resource and Service Discovery Algorithm for 6LoWPANsApplied Sciences10.3390/app90100339:1(33)Online publication date: 22-Dec-2018
    • (2018)Searching for the IoT Resources: Fundamentals, Requirements, Comprehensive Review, and Future DirectionsIEEE Communications Surveys & Tutorials10.1109/COMST.2018.282523120:3(2101-2132)Online publication date: Nov-2019
    • (2017)ROSA: Resource-Oriented Service Management Schemes for Web of Things in a Smart HomeSensors10.3390/s1710215917:10(2159)Online publication date: 21-Sep-2017
    • (2017)An empirical study of CoAP based service discovery methods for constrained IoT networks using Cooja simulator2017 20th International Conference of Computer and Information Technology (ICCIT)10.1109/ICCITECHN.2017.8281784(1-6)Online publication date: Dec-2017
    • (2017)Hybrid CoAP-based resource discovery for the Internet of ThingsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-017-0450-38:3(357-372)Online publication date: 16-Feb-2017
    • Show More Cited By

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