Air-Indexing on error prone communication channels

  • Authors:

  • Emmanuel Müller;Philipp Kranen;Michael Nett;Felix Reidl;Thomas Seidl

  • Affiliations:

  • Data Management and Data Exploration Group, RWTH Aachen University, Germany;Data Management and Data Exploration Group, RWTH Aachen University, Germany;Data Management and Data Exploration Group, RWTH Aachen University, Germany;Data Management and Data Exploration Group, RWTH Aachen University, Germany;Data Management and Data Exploration Group, RWTH Aachen University, Germany

  • Venue:
  • DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
  • Year:
  • 2010

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Abstract

Air-Indexing aims at efficient data dissemination via a wireless broadcast channel to a multitude of mobile clients. As mobile devices have very limited resources, energy efficiency is crucial in such scenarios. Moreover, one has to cope with high error rates on wireless transmissions resulting in packet losses which lead to high energy consumption and long waiting times until a query result is available. We propose a novel cross-layer scheduling with adaptive error correction which enables flexible query optimization on mobile clients. RepAir ensures efficiency by adapting its query processing according to the individual error rate of each client. Thorough experiments show that RepAir yields substantial efficiency improvements in terms of access latency and tuning time compared to competing Air-Indexing approaches.