Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Improving Wireless Network Performance Using Sensor Hints

Improving Wireless Network Performance Using Sensor Hints

Thumbnail Image
Download
Name

Madden_Improving wireless.pdf

Size

726.28 KB

Format

Adobe PDF

Checksum (MD5)

be58ff84ab8d8b6da38ed3fc7638053f

Author(s)
Sivalingam, Lenin Ravindranth
•
Newport, Calvin Charles
•
Balakrishnan, Hari
•
Madden, Samuel R.
Date Issued
March 2011
Journal
USENIX Symposium on Networked Systems Design and Implementation (8th : 2011 : Boston, Mass.)
Publisher
USENIX Association
Citation
Ravindranath, Lenin, et al. "Improving Wireless Network Performance Using Sensor Hints" Symposium on Networked Systems Design and Implementation (8th : 2011 : Boston, Mass.)
Version
Author's final manuscript
Abstract
With the proliferation of mobile wireless devices such as smartphones and tablets that are used in a wide range of locations and movement conditions, it has become important for wireless protocols to adapt to different settings over short periods of time. Network protocols that perform well in static settings where channel conditions are relatively stable tend to perform poorly in mobile settings where channel conditions change rapidly, and vice versa. To adapt to the conditions under which communication is occurring, we propose the use of external sensor hints to augment network protocols. Commodity smartphones and tablet devices come equipped with a variety of sensors, including GPS, accelerometers, magnetic compasses, and gyroscopes, which can provide hints about the device’s mobility state and its operating environment.We present a wireless protocol architecture that integrates sensor hints in adaptation algorithms. We validate the idea and architecture by implementing and evaluating sensor-augmented wireless protocols for bit rate adaptation, access point association, neighbor maintenance in mobile mesh networks, and path selection in vehicular networks.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
http://creativecommons.org/licenses/by-nc-sa/3.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/62542
DOI of Published Version
http://usenix.org/events/nsdi11/tech/
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.