NDLI: Energy-aware network selection using traffic estimation

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Energy-aware network selection using traffic estimation

Energy-aware network selection using traffic estimation

Content Provider	ACM Digital Library
Author	Petander, Henrik
Abstract	This paper proposes an energy-aware handoff algorithm based on energy consumption measurements of UMTS and 802.11 WLAN networks on an Android mobile phone. The handoff algorithm uses estimation of application traffic size to find the minimum energy cost alternative by comparing the cost of using UMTS with the cost of performing an opportunistic downward vertical handoff to a WLAN and using WLAN for the transfer and the eventual upward vertical handoff back to UMTS. Our experiments show that the energy cost of UMTS is nearly equal to WLAN as a function of transfer time, but for bulk transfers, transferring a byte of data over UMTS can be over a hundred times more expensive than over WLAN. Further, we discovered that the energy cost of the vertical handoff is quite high, comparable to downloading 0.12-0.67 MB of data over UMTS. To calculate the energy cost of data transfers before they take place, we propose and evaluate a distributed traffic estimation mechanism. The mechanism can predict how much data will be transferred due to a user action (i.e. clicking of an URL link). We provide initial results on the accuracy of the mechanism. Finally, we perform a numerical analysis on the the performance of the handoff algorithm and show that it can reduce the energy consumption significantly when compared with simple policies.
Starting Page	55
Ending Page	60
Page Count	6
File Format	PDF
ISBN	9781605587530
DOI	10.1145/1614255.1614268
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-09-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Network selection Energy-aware Vertical handover Traffic estimation
Content Type	Text
Resource Type	Article

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