We address the problem of efficient data gathering in a wireless network through multi-hop communication. We focus on the objective of minimizing the maximum flow time of a data packet. We prove that no polynomial time algorithm for this problem can have approximation ratio less than Ω(m1/3) when m packets have to be transmitted, unless P = NP. We then use resource augmentation to assess the performance of a FIFO-like strategy. We prove that this strategy is 5-speed optimal, i.e., its cost remains within the optimal cost if we allow the algorithm to transmit data at a speed 5 times higher than that of the optimal solution we compare to.
Minimizing Flow Time in the Wireless Gathering Problem / Bonifaci, Vincenzo; Peter, Korteweg; MARCHETTI SPACCAMELA, Alberto; Leen, Stougie. - (2008), pp. 109-120. (Intervento presentato al convegno 25th Symp. on Theoretical Aspects of Computer Science tenutosi a Bordeaux; France nel February 21-23, 2008) [10.4230/LIPIcs.STACS.2008.1338].
Minimizing Flow Time in the Wireless Gathering Problem
BONIFACI, VINCENZO;MARCHETTI SPACCAMELA, Alberto;
2008
Abstract
We address the problem of efficient data gathering in a wireless network through multi-hop communication. We focus on the objective of minimizing the maximum flow time of a data packet. We prove that no polynomial time algorithm for this problem can have approximation ratio less than Ω(m1/3) when m packets have to be transmitted, unless P = NP. We then use resource augmentation to assess the performance of a FIFO-like strategy. We prove that this strategy is 5-speed optimal, i.e., its cost remains within the optimal cost if we allow the algorithm to transmit data at a speed 5 times higher than that of the optimal solution we compare to.File | Dimensione | Formato | |
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