Energy optimization through traffic aggregation in wireless networks

Wenjie Hu, Guohong Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

39 Scopus citations


Cellular networks can provide pervasive data access for smartphones, but also consume lots of energy, because the cellular interface has to stay in high power state for a long time (called long tail problem) after a data transmission. In this paper, we propose to reduce the tail energy by aggregating the data traffic of multiple nodes using their P2P interfaces. This traffic aggregation problem is formalized as finding the best task schedule to minimize energy. We first propose an A* search algorithm, which can reduce the search space for finding the optimal schedule offline, and then introduce an online traffic aggregation algorithm. We have implemented the online traffic aggregation algorithm on Android smartphones, and have built a small testbed. Trace-driven simulations and Experimental results show that our traffic aggregation algorithm can significantly reduce the energy and delay.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2014 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages9
ISBN (Print)9781479933600
StatePublished - Jan 1 2014
Event33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 - Toronto, ON, Canada
Duration: Apr 27 2014May 2 2014

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Other33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
CityToronto, ON

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering


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