research-article

NAPman: network-assisted power management for wifi devices

Authors:

Ramachandran Ramjee,

Shravan RayanchuAuthors Info & Claims

MobiSys '10: Proceedings of the 8th international conference on Mobile systems, applications, and services

Pages 91 - 106

https://doi.org/10.1145/1814433.1814445

Published: 15 June 2010 Publication History

Abstract

WiFi radios in smart-phones consume a significant amount of power when active. The 802.11 standard allows these devices to save power through an energy-conserving Power Save Mode (PSM). However, depending on the PSM implementation strategies used by the clients/Access Points (APs), we find competing background traffic results in one or more of the following negative consequences: a significant increase, up to 300%, in a client's energy consumption, a decrease in wireless network capacity due to unnecessary retransmissions, and unfairness.

In this paper, we propose NAPman: Network-Assisted Power Management for WiFi devices that addresses the above issues. NAPman leverages AP virtualization and a new energy-aware fair scheduling algorithm to minimize client energy consumption and unnecessary retransmissions, while ensuring fairness among competing traffic. NAPman is incrementally deployable via software updates to the AP and does not require any changes to the 802.11 protocol or the mobile clients. Our prototype implementation improves the energy savings on a smart-phone by up to 70% under varied settings of background traffic, while ensuring fairness.

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Cited By

Park JSuh YKim DLee HAhn HPark Y(2025)MILD: Minimizing Idle Listening Energy Consumption via Down-Clocking for Energy-Efficient Wi-Fi CommunicationsSensors10.3390/s2504115525:4(1155)Online publication date: 13-Feb-2025
https://doi.org/10.3390/s25041155
Saadat MSur SNelakuditi S(2024)Aquilo: Temperature-aware scheduler for millimeter-wave devices and networksHigh-Confidence Computing10.1016/j.hcc.2024.1002234:4(100223)Online publication date: Dec-2024
https://doi.org/10.1016/j.hcc.2024.100223
MASRİ İERDAL E(2022)Developing A New Scheduling Algorithm for Wi-Fi 6 Technology Based on Machine LearningUluslararası Muhendislik Arastirma ve Gelistirme Dergisi10.29137/umagd.107590314:1(322-337)Online publication date: 31-Jan-2022
https://doi.org/10.29137/umagd.1075903
Show More Cited By

Index Terms

NAPman: network-assisted power management for wifi devices
1. General and reference
  1. Cross-computing tools and techniques
    1. Design
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

cover image ACM Conferences

MobiSys '10: Proceedings of the 8th international conference on Mobile systems, applications, and services

June 2010

382 pages

ISBN:9781605589855

DOI:10.1145/1814433

General Chair:
Sujata Banerjee
Hewlett-Packard Labs., USA
,
Program Chairs:
Srinivasan Keshav
University of Waterloo, Ontario, Canada
,
Alec Wolman
Microsoft Research Redmond, USA

Copyright © 2010 ACM.

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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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 June 2010

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MobiSys'10

Sponsor:

SIGMOBILE

MobiSys'10: The 8th International Conference on Mobile Systems, Applications, and Services

June 15 - 18, 2010

California, San Francisco, USA

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Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Citations

Cited By

Park JSuh YKim DLee HAhn HPark Y(2025)MILD: Minimizing Idle Listening Energy Consumption via Down-Clocking for Energy-Efficient Wi-Fi CommunicationsSensors10.3390/s2504115525:4(1155)Online publication date: 13-Feb-2025
https://doi.org/10.3390/s25041155
Saadat MSur SNelakuditi S(2024)Aquilo: Temperature-aware scheduler for millimeter-wave devices and networksHigh-Confidence Computing10.1016/j.hcc.2024.1002234:4(100223)Online publication date: Dec-2024
https://doi.org/10.1016/j.hcc.2024.100223
MASRİ İERDAL E(2022)Developing A New Scheduling Algorithm for Wi-Fi 6 Technology Based on Machine LearningUluslararası Muhendislik Arastirma ve Gelistirme Dergisi10.29137/umagd.107590314:1(322-337)Online publication date: 31-Jan-2022
https://doi.org/10.29137/umagd.1075903
Sheth JMiremadi CDezfouli ADezfouli B(2022)EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT StationsIEEE Systems Journal10.1109/JSYST.2021.306392216:1(591-602)Online publication date: Mar-2022
https://doi.org/10.1109/JSYST.2021.3063922
Chawla AKannan NGoyalia SRamanna VSheth JDezfouli B(2022)SEMFI: A Software-Based and Real-Time Energy Monitoring Platform for WiFi IoT Devices2022 IEEE Global Humanitarian Technology Conference (GHTC)10.1109/GHTC55712.2022.9911022(212-218)Online publication date: 8-Sep-2022
https://doi.org/10.1109/GHTC55712.2022.9911022
Aggarwal SGhoshal MBanerjee PKoutsonikolas DWidmer J(2021)802.11ad in Smartphones: Energy Efficiency, Spatial Reuse, and Impact on ApplicationsIEEE INFOCOM 2021 - IEEE Conference on Computer Communications10.1109/INFOCOM42981.2021.9488763(1-10)Online publication date: 10-May-2021
https://doi.org/10.1109/INFOCOM42981.2021.9488763
Saeed AKolberg M(2021)Towards Optimizing WLANs Power Saving: Context-Aware Listen IntervalIEEE Access10.1109/ACCESS.2021.31203489(141513-141523)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3120348
Liu ZQin XWei G(2021)GreenAP: An Energy-Saving Protocol for Mobile Access PointsWireless Algorithms, Systems, and Applications10.1007/978-3-030-86137-7_59(553-565)Online publication date: 9-Sep-2021
https://doi.org/10.1007/978-3-030-86137-7_59
Ali RSohail MAlmagrabi AMusaddiq AKim B(2020)greenMAC Protocol: A Q-Learning-Based Mechanism to Enhance Channel Reliability for WLAN Energy SavingsElectronics10.3390/electronics91017209:10(1720)Online publication date: 19-Oct-2020
https://doi.org/10.3390/electronics9101720
Irshad SRozner EBhartia AChen BPillai PLv Q(2020)Rethinking Wireless Network Management Through Sensor-driven Contextual AnalysisProceedings of the 21st International Workshop on Mobile Computing Systems and Applications10.1145/3376897.3377863(92-97)Online publication date: 3-Mar-2020
https://dl.acm.org/doi/10.1145/3376897.3377863
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