Minimizing flow time in the wireless gathering problem

  • Authors:
  • Vincenzo Bonifaci;Peter Korteweg;Alberto Marchetti-Spaccamela;Leen Stougie

  • Affiliations:
  • Max Planck Institute for Informatics, Saarbrücken, Germany;TU Eindhoven, the Netherlands;Sapienza University of Rome, Italy;VU University and CWI Amsterdam, the Netherlands

  • Venue:
  • ACM Transactions on Algorithms (TALG)
  • Year:
  • 2011

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Abstract

We address the problem of efficient data gathering in a wireless network through multihop communication. We focus on two objectives related to flow times, that is, the times spent by data packets in the system: minimization of the maximum flow time and minimization of the average flow time of the packets. For both problems we prove that, unless P=NP, no polynomial-time algorithm can approximate the optimal solution within a factor less than Ω(m1−&epsis;) for any 0m is the number of packets. We then assess the performance of two natural algorithms by proving that their cost remains within the optimal cost of the respective problem if we allow the algorithms to transmit data at a speed 5 times higher than that of the optimal solutions to which we compare them.