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Adaptive Duty Cycling in IEEE 802.15.4 Cluster Tree Networks Using MAC Parameters

Authors:

Nikumani Choudhury,

Rakesh Matam,

Mithun Mukherjee,

Lei ShuAuthors Info & Claims

Mobihoc '17: Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing

Article No.: 37, Pages 1 - 2

https://doi.org/10.1145/3084041.3084069

Published: 10 July 2017 Publication History

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Abstract

The IEEE 802.15.4 standard does not support adaptive duty cycles. Prior works in this direction are either based on superframe occupation ratio or buffer occupancy/queue length of the transmitting nodes. In this paper, we find the respective limitations of both these schemes that lead to sub-optimal duty cycle parameter settings. Afterward, a duty cycling algorithm is proposed wherein the channel state is estimated with the help of MAC parameters (macMinBE, macMaxCSMABackoffs, and macMaxFrameRetries) that induces dynamic adaptation of duty-cycle among the nodes. A Markov model is developed for IEEE 802.15.4 carrier sense multiple access with collision avoidance (CSMA-CA) to estimate the delay and energy consumption while transmitting frames using MAC parameters.

References

[1]

IEEE Std 802.15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs). http://www.ieee.org/Standards/.

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[2]

Bih-Hwang Lee and Huai-Kuei Wu. 2010. Study on a dynamic superframe adjustment algorithm for IEEE 802.15. 4 LR-WPAN. In 71st VTC, 2010. IEEE, 1--5.

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[3]

Camila HS Oliveira, Yacine Ghamri-Doudane, and Stephane Lohier. 2013. A duty cycle self-adaptation algorithm for the 802.15. 4 wireless sensor networks. In Global Information Infrastructure Symposium, 2013. IEEE, 1--7.

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[4]

Hadi Rasouli, Yousef S Kavian, and Habib F Rashvand. 2014. ADCA: Adaptive duty cycle algorithm for energy efficient IEEE 802.15. 4 beacon-enabled wireless sensor networks. IEEE sensors journal 14, 11 (2014), 3893--3902.

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Dave JChoudhury NTiwari UKamtam SRohith K(2023)Secure Deduplication with Dynamic Key Management in Fog Enabled Internet of Things2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC57700.2023.00187(1237-1242)Online publication date: Jun-2023
https://doi.org/10.1109/COMPSAC57700.2023.00187
Tolani MAjasa ABalodi ABajpai AAlZaharani YSunny (2023)Advanced Sensor Systems for Robotics and Autonomous VehiclesArtificial Intelligence for Robotics and Autonomous Systems Applications10.1007/978-3-031-28715-2_14(439-459)Online publication date: 16-May-2023
https://doi.org/10.1007/978-3-031-28715-2_14
Zouinkhi AFlah AMihet-Popa L(2021)A Novel Energy-Safe Algorithm for Enhancing the Battery Life for IoT Sensors’ ApplicationsEnergies10.3390/en1420661314:20(6613)Online publication date: 13-Oct-2021
https://doi.org/10.3390/en14206613
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Index Terms

Adaptive Duty Cycling in IEEE 802.15.4 Cluster Tree Networks Using MAC Parameters
1. Networks
  1. Network types
    1. Cyber-physical networks
      1. Sensor networks
    2. Overlay and other logical network structures
      1. Peer-to-peer networks

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Published In

Mobihoc '17: Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing

July 2017

309 pages

ISBN:9781450349123

DOI:10.1145/3084041

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: 10 July 2017

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Mobihoc '17: The Eighteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing

July 10 - 14, 2017

Chennai, India

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Mobihoc '17 Paper Acceptance Rate 27 of 170 submissions, 16%;

Overall Acceptance Rate 296 of 1,843 submissions, 16%

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Dave JChoudhury NTiwari UKamtam SRohith K(2023)Secure Deduplication with Dynamic Key Management in Fog Enabled Internet of Things2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC57700.2023.00187(1237-1242)Online publication date: Jun-2023
https://doi.org/10.1109/COMPSAC57700.2023.00187
Tolani MAjasa ABalodi ABajpai AAlZaharani YSunny (2023)Advanced Sensor Systems for Robotics and Autonomous VehiclesArtificial Intelligence for Robotics and Autonomous Systems Applications10.1007/978-3-031-28715-2_14(439-459)Online publication date: 16-May-2023
https://doi.org/10.1007/978-3-031-28715-2_14
Zouinkhi AFlah AMihet-Popa L(2021)A Novel Energy-Safe Algorithm for Enhancing the Battery Life for IoT Sensors’ ApplicationsEnergies10.3390/en1420661314:20(6613)Online publication date: 13-Oct-2021
https://doi.org/10.3390/en14206613
Choudhury NMatam RMukherjee MLloret JKalaimannan E(2021)NCHR: A Nonthreshold-Based Cluster-Head Rotation Scheme for IEEE 802.15.4 Cluster-Tree NetworksIEEE Internet of Things Journal10.1109/JIOT.2020.30033208:1(168-178)Online publication date: 1-Jan-2021
https://doi.org/10.1109/JIOT.2020.3003320
Tolani MSunny Singh R(2021)A Markov model for IEEE 802.15.4 MAC protocol with energy-efficient GTS utilization under saturated and unsaturated traffic conditionsAd Hoc Networks10.1016/j.adhoc.2021.102452115(102452)Online publication date: Apr-2021
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Choudhury NMatam RMukherjee MLloret J(2020)A Performance-to-Cost Analysis of IEEE 802.15.4 MAC With 802.15.4e MAC ModesIEEE Access10.1109/ACCESS.2020.29766548(41936-41950)Online publication date: 2020
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Lavassani MForsström SJennehag UZhang T(2018)Combining Fog Computing with Sensor Mote Machine Learning for Industrial IoTSensors10.3390/s1805153218:5(1532)Online publication date: 12-May-2018
https://doi.org/10.3390/s18051532
Choudhury NMatam RMukherjee MShu L(2018)Beacon Synchronization and Duty-Cycling in IEEE 802.15.4 Cluster-Tree Networks: A ReviewIEEE Internet of Things Journal10.1109/JIOT.2018.28279465:3(1765-1788)Online publication date: Jun-2018
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Choudhury NKumar KMatam R(2018)Cluster-Head Rotation Scheme for Beacon-Enabled IEEE 802.15.4 Networks2018 IEEE SENSORS10.1109/ICSENS.2018.8589507(1-3)Online publication date: Oct-2018
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Choudhury NMatam RMukherjee MLloret J(2018)A Non-Threshold-Based Cluster-Head Rotation Scheme for IEEE 802.15.4 Cluster-Tree Networks2018 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2018.8647640(1-6)Online publication date: Dec-2018
https://doi.org/10.1109/GLOCOM.2018.8647640

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Dynamic adaptation of duty cycling with MAC parameters in cluster tree IEEE 802.15.4 networks

A Simple Time Shift Scheme for Beacon Broadcasting Based on Cluster-Tree IEEE 802.15.4 Low-Rate WPANs

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