research-article

Mixed synchronous and asynchronous duty-cycling protocol in sensor networks

Authors:

Shunroku Kawabata,

Raito Matsuzaki,

Hiroyuki EbaraAuthors Info & Claims

ICPP Workshops '19: Workshop Proceedings of the 48th International Conference on Parallel Processing

Article No.: 1, Pages 1 - 7

https://doi.org/10.1145/3339186.3339187

Published: 05 August 2019 Publication History

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Abstract

Wireless Sensor Networks are usually relying on the energy source to the battery, so lifetime of the sensor nodes is limited. Duty Cycling is known as one of the methods to reduce the energy consumption of wireless sensor networks. Therefore, efficient Duty Cycling needs to be performed to extend the lifetime of the network. In this proposed method, efficient Duty Cycling is performed while securing scalability by using a synchronous protocol and an asynchronous protocol in combination. We compare with the existing methods and show that network lifetime is extended.

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Cited By

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Wong AGoh SHasan MFattah S(2023)Multi-Hop and Mesh for LoRa Networks: Recent Advancements, Issues, and Recommended ApplicationsACM Computing Surveys10.1145/363824156:6(1-43)Online publication date: 20-Dec-2023
https://dl.acm.org/doi/10.1145/3638241
Bukreyev IYüksel HHo KApsel A(2022)PCO-Based BLE Mesh AcceleratorSensors10.3390/s2214532422:14(5324)Online publication date: 16-Jul-2022
https://doi.org/10.3390/s22145324
Tan ZYang XPang MGao SLi MChen P(2020)UAV-Assisted Low-Consumption Time Synchronization Utilizing Cross-Technology CommunicationSensors10.3390/s2018513420:18(5134)Online publication date: 9-Sep-2020
https://doi.org/10.3390/s20185134

Index Terms

Mixed synchronous and asynchronous duty-cycling protocol in sensor networks
1. Networks
  1. Network protocols
    1. Network protocol design
  2. Network types
    1. Ad hoc networks
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures
        Peer-to-peer architectures

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Published In

ICPP Workshops '19: Workshop Proceedings of the 48th International Conference on Parallel Processing

August 2019

241 pages

ISBN:9781450371964

DOI:10.1145/3339186

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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University of Tsukuba: University of Tsukuba

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Association for Computing Machinery

New York, NY, United States

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Published: 05 August 2019

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ICPP 2019

ICPP 2019: Workshops

August 5 - 8, 2019

Kyoto, Japan

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Overall Acceptance Rate 91 of 313 submissions, 29%

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Wong AGoh SHasan MFattah S(2023)Multi-Hop and Mesh for LoRa Networks: Recent Advancements, Issues, and Recommended ApplicationsACM Computing Surveys10.1145/363824156:6(1-43)Online publication date: 20-Dec-2023
https://dl.acm.org/doi/10.1145/3638241
Bukreyev IYüksel HHo KApsel A(2022)PCO-Based BLE Mesh AcceleratorSensors10.3390/s2214532422:14(5324)Online publication date: 16-Jul-2022
https://doi.org/10.3390/s22145324
Tan ZYang XPang MGao SLi MChen P(2020)UAV-Assisted Low-Consumption Time Synchronization Utilizing Cross-Technology CommunicationSensors10.3390/s2018513420:18(5134)Online publication date: 9-Sep-2020
https://doi.org/10.3390/s20185134
Khan MRahman HKhan M(2020)An Energy Efficient Adaptive Scheduling Scheme (EASS) for Mesh Grid Wireless Sensor NetworksJournal of Parallel and Distributed Computing10.1016/j.jpdc.2020.08.007146(139-157)Online publication date: Dec-2020
https://doi.org/10.1016/j.jpdc.2020.08.007

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An application-specific duty cycle adjustment MAC protocol for energy conserving over wireless sensor networks

Maximum Lifetime Routing Problem in Duty-Cycling Sensor Networks

Operation strategy for energy harvesting wireless sensor networks

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