Constant-approximation for optimal data aggregation with physical interference

Hongwei Du (), Zhao Zhang (), Weili Wu (), Lidong Wu () and Kai Xing ()

Journal of Global Optimization, 2013, vol. 56, issue 4, 1653-1666

Abstract: In this paper, we study the aggregation problem with power control under the physical interference. The maximum power is bounded. The goal is to assign power to nodes and schedule transmissions toward the sink without physical interferences such that the total number of time slots is minimized. Under the assumption that the unit disk graph G δ r with transmission range δ r is connected for some constant 0 > δ ≤ 1/3 1/α , where r is the maximum transmission range determined by the maximum power, an approximation algorithm is presented with at most b 3 (log 2 n + 6) + (R−1)(μ 1 + μ 2 ) time slots, where n is the number of nodes, R is the radius of graph G δ r with respect to the sink, and b, μ 1 , μ 2 are constants. Since both R and log 2 n are lower bounds for the optimal latency of aggregation in the unit disk graph G δ r , our algorithm has a constant-approximation ratio for the aggregation problem in G δ r . Copyright Springer Science+Business Media, LLC. 2013

Keywords: Aggregation; Physical interference; Power control; Bounded power (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s10898-012-9939-7 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jglopt:v:56:y:2013:i:4:p:1653-1666

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10898

DOI: 10.1007/s10898-012-9939-7

Access Statistics for this article

Journal of Global Optimization is currently edited by Sergiy Butenko

More articles in Journal of Global Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().