Staffetta: Smart duty-cycling for opportunistic data collection

Marco Cattani, Andreas Loukas, Marco Zimmerling, Marco Zuniga, Koen Langendoen

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

15 Scopus citations

Abstract

Opportunistic routing protocols tackle the problem of effcient data collection in dynamic wireless sensor networks, where the radio is duty-cycled to save energy and the topology changes unpredictably due to node mobility and/or link dynamics. Unlike protocols that maintain a routing structure, in opportunistic protocols nodes forward packets to any neighbor that wakes up first, reducing latency and energy costs and increasing the resilience to network dynamics. We claim the performance of existing opportunistic routing protocols can be improved while retaining their resilience by harnessing the synergy between duty cycling and opportunistic forwarding. To prove this claim, we present Staetta, the first practical duty-cycle adaptation scheme for opportunistic low-power wireless protocols. Staetta dynamically adapts each node's wake-up frequency to its current forwarding cost, so nodes closer to the sink become more active than nodes farther away. In this way, Staetta biases the forwarding choices toward the sink as the neighbor waking up first is also likely to offer high routing progress. Experiments on two testbeds with four different opportunistic routing mechanisms demonstrate that Staetta achieves severalfold performance improvements compared with a fixed wake-up frequency. As a case a point, Staetta enables ORW, the state-of-The-Art opportunistic routing protocol, to reduce end-To-end packet latency by 79-452 and energy consumption by 2.75-9 while increasing packet delivery ratio compared with ORW's default link-layer settings.

Original languageEnglish
Title of host publicationProceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016
PublisherAssociation for Computing Machinery, Inc
Pages56-69
Number of pages14
ISBN (Electronic)9781450342636
DOIs
StatePublished - 14 Nov 2016
Externally publishedYes
Event14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 - Stanford, United States
Duration: 14 Nov 201616 Nov 2016

Publication series

NameProceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016

Conference

Conference14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016
Country/TerritoryUnited States
CityStanford
Period14/11/1616/11/16

Keywords

  • Data Collection
  • Duty Cycling
  • Opportunistic Routing

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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