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ew 15(5): e3

Research Article

Energy Efficient Scheduling for Mobile Push Notifications

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  • @ARTICLE{10.4108/eai.22-7-2015.2260067,
        author={Utku Acer and Afra Mashhadi and Claudio Forlivesi and Fahim Kawsar},
        title={Energy Efficient Scheduling for Mobile Push Notifications},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={2},
        number={5},
        publisher={EAI},
        journal_a={EW},
        year={2015},
        month={8},
        keywords={push notification, network sensing, activity prediction, energy efficiency},
        doi={10.4108/eai.22-7-2015.2260067}
    }
    
  • Utku Acer
    Afra Mashhadi
    Claudio Forlivesi
    Fahim Kawsar
    Year: 2015
    Energy Efficient Scheduling for Mobile Push Notifications
    EW
    EAI
    DOI: 10.4108/eai.22-7-2015.2260067
Utku Acer1,*, Afra Mashhadi1, Claudio Forlivesi1, Fahim Kawsar1
  • 1: Bell Labs, Alcatel-Lucent
*Contact email: utkuacer@bell-labs.com

Abstract

Push notifications are small and succinct messages used by mobile applications to inform users of new events and updates. These notifications are pushed to the user devices by a set of dedicated notification servers (e.g., Apple Push Notification Server, Google Cloud Messaging Server, etc.) as they arrive from the content providers of the mobile applications. However, due to their intrinsic small size and sporadic nature, the transfer of these messages is not power efficient, especially on cellular networks. To address this, we propose a network centric scheduling mechanism that delays the delivery of these messages as appropriate by sensing and predicting users' cellular network activities. A trace based evaluation with 60 users' cellular network logs of 30 days shows that we can reduce the energy consumption of mobile devices by 10\% for an average delay of 150 seconds in notification delivery. As a network based system that does not require any modifications to user devices, scheduling push notifications opens up interesting opportunities for mobile operators to provide value added and differentiating services, especially considering the sharp rise of non-critical push notification messages.

Keywords
push notification, network sensing, activity prediction, energy efficiency
Published
2015-08-11
Publisher
EAI
http://dx.doi.org/10.4108/eai.22-7-2015.2260067

Copyright © 2015 U. Acer et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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