Broadcast-free collection protocol

Daniele Puccinelli*, Marco Zuniga, Silvia Giordano, Pedro Jośe Marŕon

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

21 Citations (Scopus)

Abstract

Asynchronous low-power listening techniques reduce the energy footprint of radio communication by enforcing link layer duty cycling. At the same time, these techniques make broadcast traffic significantly more expensive than unicast traffic. Because broadcast is a key network primitive and is widely used in various protocols, recently several techniques have been proposed to reduce the amount of broadcast activity by merging broadcasts from different protocols. In this paper we focus on collection protocols and investigate the more extreme approach of eliminating broadcast completely. To this end, we design, implement and, evaluate a Broadcast-Free Collection Protocol, BFC. We derive firstorder models to quantify the costs of broadcasts, and evaluate the performance of BFC on a public testbed. Compared to the Collection Tree Protocol, the de facto standard for data collection, BFC achieves double-digit percentage improvements on the duty cycles. The specific benefits to individual nodes depend on the relative cost of unicast activity; we show that the nodes that benefit the most are the sink's neighbors, which are crucial for network lifetime extension. Eliminating broadcast also brings several other advantages, including extra flexibility with link layer calibrations and energy savings in the presence of poor connectivity.

Original languageEnglish
Title of host publicationSenSys '12
Subtitle of host publicationProceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages29-42
Number of pages14
ISBN (Print)978-1-4503-1169-4
DOIs
Publication statusPublished - 1 Dec 2012
Event10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012 - Toronto, ON, Canada
Duration: 6 Nov 20129 Nov 2012

Conference

Conference10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012
Country/TerritoryCanada
CityToronto, ON
Period6/11/129/11/12

Keywords

  • Broadcast
  • Collection
  • Energy consumption
  • Routing
  • Sensor networks

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