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Graph based M2M optimization in an IoT environment

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Anand PaulAuthors Info & Claims

RACS '13: Proceedings of the 2013 Research in Adaptive and Convergent Systems

Pages 45 - 46

https://doi.org/10.1145/2513228.2513287

Published: 01 October 2013 Publication History

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Abstract

In this paper, a graph based M2M optimization in an IoT environment is presented. A parallel reconfigurable M2M architecture with multiple dynamic reconfigurable unit in an IoT scenario is modeled using a directed acyclic graph (DAG) to represent the whole environment. Parallel M2M establish communication within the network and are partitioned and reconfigured dynamically for large scale network such as IoT. Simulation were performed for multiple M2M array for different state, timing and power consumption along with the scheduling scheme are considered.

References

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Sheela MSoundari AMudigonda AKalpana CSuresh KSomasundaram KFarhaoui Y(2024)Adaptive Marine Predator Optimization Algorithm (AOMA)-Deep Supervised Learning Classification (DSLC) Based IDS Framework for MANET SecurityIntelligent and Converged Networks10.23919/ICN.2024.00015:1(1-18)Online publication date: Mar-2024
https://doi.org/10.23919/ICN.2024.0001
Huang QLai XSu QPan Y(2023)RDF Subgraph Query Based on Common Subgraph in Distributed EnvironmentWireless Communications & Mobile Computing10.1155/2023/71480712023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/7148071
Singh AKumar ASingh R(2023)Investigate the IoT Devices Used in Smart Cities and Assess what Kind of Data They Collect2023 6th International Conference on Contemporary Computing and Informatics (IC3I)10.1109/IC3I59117.2023.10397707(1663-1668)Online publication date: 14-Sep-2023
https://doi.org/10.1109/IC3I59117.2023.10397707
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Graph based M2M optimization in an IoT environment

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Published In

RACS '13: Proceedings of the 2013 Research in Adaptive and Convergent Systems

October 2013

529 pages

ISBN:9781450323482

DOI:10.1145/2513228

Conference Chairs:
Ching Y. Suen
Concordia University, Canada
,
Amir Aghdam
Concordia University, Canada
,
Minyi Guo
Shanghai Jiao Tong University, China
,
Program Chairs:
Jiman Hong
Soongsil University, Korea
,
Esmaeil Nadimi
University of Southern Denmark, Denmark

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 October 2013

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Kyungpook National University

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RACS'13

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SIGAPP
ACCT

RACS'13: Research in Adaptive and Convergent Systems

October 1 - 4, 2013

Quebec, Montreal, Canada

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RACS '13 Paper Acceptance Rate 73 of 317 submissions, 23%;

Overall Acceptance Rate 393 of 1,581 submissions, 25%

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Sheela MSoundari AMudigonda AKalpana CSuresh KSomasundaram KFarhaoui Y(2024)Adaptive Marine Predator Optimization Algorithm (AOMA)-Deep Supervised Learning Classification (DSLC) Based IDS Framework for MANET SecurityIntelligent and Converged Networks10.23919/ICN.2024.00015:1(1-18)Online publication date: Mar-2024
https://doi.org/10.23919/ICN.2024.0001
Huang QLai XSu QPan Y(2023)RDF Subgraph Query Based on Common Subgraph in Distributed EnvironmentWireless Communications & Mobile Computing10.1155/2023/71480712023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/7148071
Singh AKumar ASingh R(2023)Investigate the IoT Devices Used in Smart Cities and Assess what Kind of Data They Collect2023 6th International Conference on Contemporary Computing and Informatics (IC3I)10.1109/IC3I59117.2023.10397707(1663-1668)Online publication date: 14-Sep-2023
https://doi.org/10.1109/IC3I59117.2023.10397707
Ali ZMahmood AKhatoon SAlhakami WUllah SIqbal JHussain S(2022)A Generic Internet of Things (IoT) Middleware for Smart City ApplicationsSustainability10.3390/su1501074315:1(743)Online publication date: 31-Dec-2022
https://doi.org/10.3390/su15010743
Levin M(2020)Composite Technology Challenge System for Optimization in 5G CommunicationsSN Computer Science10.1007/s42979-020-00235-71:4Online publication date: 30-Jun-2020
https://doi.org/10.1007/s42979-020-00235-7
Wang YZhang SCen HZou B(2019)Performance analysis and improvement of large-scale antenna array systemJournal of Intelligent & Fuzzy Systems10.3233/JIFS-179422(1-6)Online publication date: 30-Sep-2019
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Lakshmanaprabu SShankar KIlayaraja MNasir AVijayakumar VChilamkurti N(2019)Random forest for big data classification in the internet of things using optimal featuresInternational Journal of Machine Learning and Cybernetics10.1007/s13042-018-00916-zOnline publication date: 4-Jan-2019
https://doi.org/10.1007/s13042-018-00916-z
Subramaniyaswamy VManogaran GLogesh RVijayakumar VChilamkurti NMalathi DSenthilselvan N(2019)RETRACTED ARTICLE: An ontology-driven personalized food recommendation in IoT-based healthcare systemThe Journal of Supercomputing10.1007/s11227-018-2331-875:6(3184-3216)Online publication date: 1-Jun-2019
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Paul AJeyaraj R(2019)Internet of Things: A primerHuman Behavior and Emerging Technologies10.1002/hbe2.1331:1(37-47)Online publication date: 12-Feb-2019
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Bhavadharini RKarthik SKarthikeyan NPaul A(2018)Wireless Networking Performance in IoT Using Adaptive Contention WindowWireless Communications & Mobile Computing10.1155/2018/72480402018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/7248040
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Recommendations

RFC 8576: Internet of Things (IoT) Security: State of the Art and Challenges

The M2M Connectivity Framework: Towards an IoT Landscape

Probabilistic Model for M2M in IoT networking and communication

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