DocumentCode
81810
Title
On the Energy Efficiency of Device Discovery in Mobile Opportunistic Networks: A Systematic Approach
Author
Bo Han ; Jian Li ; Srinivasan, Aravind
Author_Institution
AT&T Labs. - Res., Bedminster, NJ, USA
Volume
14
Issue
4
fYear
2015
fDate
April 1 2015
Firstpage
786
Lastpage
799
Abstract
In this paper, we propose an energy efficient device discovery protocol, eDiscovery, as the first step to bootstrapping opportunistic communications for smartphones, the most popular mobile devices. We chose Bluetooth over WiFi as the underlying wireless technology of device discovery, based on our measurement study of their operational power at different states on smartphones. eDiscovery adaptively changes the duration and interval of Bluetooth inquiry in dynamic environments, by leveraging history information of discovered peers. We implement a prototype of eDiscovery on Nokia N900 smartphones and evaluate its performance in three different environments. To the best of our knowledge, we are the first to conduct extensive performance evaluation of Bluetooth device discovery in the wild. Our experimental results demonstrate that compared with a scheme with constant inquiry duration and interval, eDiscovery can save around 44 percent energy at the expense of discovering only about 21 percent less peers. The results also show that eDiscovery performs better than other existing schemes, by discovering more peers and consuming less energy. We also verify the experimental results through extensive simulation studies in the ns-2 simulator.
Keywords
Bluetooth; energy conservation; mobile radio; protocols; smart phones; Bluetooth device discovery; Nokia N900 smartphones; device discovery protocol; eDiscovery; energy efficiency; mobile opportunistic networks; smartphones; Bluetooth; Energy consumption; IEEE 802.11 Standards; Mobile computing; Performance evaluation; Protocols; Smart phones; Bluetooth; Device discovery; energy efficiency; opportunistic communications; smartphones;
fLanguage
English
Journal_Title
Mobile Computing, IEEE Transactions on
Publisher
ieee
ISSN
1536-1233
Type
jour
DOI
10.1109/TMC.2014.2333749
Filename
6849499
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