Multiple communication im multihop radio networks
SIAM Journal on Computing
Journal of Computer and System Sciences
Online computation and competitive analysis
Online computation and competitive analysis
Flow and stretch metrics for scheduling continuous job streams
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Speed is as powerful as clairvoyance
Journal of the ACM (JACM)
Computer-Aided complexity classification of combinational problems
Communications of the ACM
Broadcasting in radio networks
Handbook of wireless networks and mobile computing
SRPT optimally utilizes faster machines to minimize flow time
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
End-to-end packet-scheduling in wireless ad-hoc networks
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Multi-processor scheduling to minimize flow time with ε resource augmentation
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Approximating total flow time on parallel machines
Journal of Computer and System Sciences
Algorithmic models for sensor networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
An approximation algorithm for the wireless gathering problem
SWAT'06 Proceedings of the 10th Scandinavian conference on Algorithm Theory
Optimally fast data gathering in sensor networks
MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
Lower bounds on data collection time in sensory networks
IEEE Journal on Selected Areas in Communications
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Building on previous work [Bonifaci et al., Minimizing flow time in the wireless gathering problem , STACS 2008] we study data gathering in a wireless network through multi-hop communication with the objective to minimize the average flow time of a data packet. We show that for any the problem is NP-hard to approximate within a factor better than , where m is the number of data packets. On the other hand, we give an online polynomial time algorithm that we analyze using resource augmentation. We show that the algorithm has average flow time bounded by that of an optimal solution when the clock speed of the algorithm is increased by a factor of five. As a byproduct of the analysis we obtain a 5-approximation algorithm for the problem of minimizing the average completion time of data packets.