A measurement study of multiplicative overhead effects in wireless networks

Joseph Camp, Vincenzo Mancuso, Omer Gurewitz, Edward W. Knightly

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

32 Scopus citations

Abstract

In this paper, we perform an extensive measurement study on a multi-tier mesh network serving 4,000 users. Such dense mesh deployments have high levels of interaction across heterogeneous wireless links. We find that this heterogeneous backhaul consisting of data-carrying (forwarding) links and nondata-carrying (non-forwarding) links creates two key effects on performance. First, we show that low-rate management and control packets can produce a disproportionally large degradation in data throughput. We define a metric for this effect called Wireless Overhead Multiplier and use it to quantify the impact of MAC and PHY mechanisms on the the throughput degradation. Surprisingly, we show that these multiplicative effects are primarily driven by the non-forwarding links where, in the worst case, data packets lose physical layer capture to the overhead, yielding disproportionate throughput degradation. Finally, we show that when data flows contend in this worst-case scenario, the loss-based autorate policy is unnecessarily triggered, causing throughput imbalance and poor network utilization.

Original languageEnglish
Title of host publicationINFOCOM 2008
Subtitle of host publication27th IEEE Communications Society Conference on Computer Communications
Pages511-519
Number of pages9
DOIs
StatePublished - 15 Sep 2008
EventINFOCOM 2008: 27th IEEE Communications Society Conference on Computer Communications - Phoenix, AZ, United States
Duration: 13 Apr 200818 Apr 2008

Publication series

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

Conference

ConferenceINFOCOM 2008: 27th IEEE Communications Society Conference on Computer Communications
Country/TerritoryUnited States
CityPhoenix, AZ
Period13/04/0818/04/08

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering

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