Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/794
Title: Construction of optimal data aggregation trees for wireless sensor networks
Authors: Li, Deying
Cao, Jiannong
Liu, Ming
Zheng, Yuan
Subjects: Wireless sensor networks
Data collection and aggregation
Issue Date: 2006
Publisher: IEEE
Source: 15th International Conference on Computer Communications and Networks : Arlington, Virginia USA, 9-11 October 2006 : proceedings, p. 475-480.
Abstract: This paper considers the problem of constructing data gathering trees in a wireless sensor network for a group of sensor nodes to send collected information to a single sink node. Sensors form application-directed groups and the sink node communicates with the group members, called source nodes, to gather the desired data using a multicast tree rooted at the sink node [7]. The data gathering tree contains the sink node, all the source nodes, and some other non-source nodes. Our goal of constructing such a data gathering tree is to minimize the number of non-source nodes to be included in the tree so as to save energies of as many non-source nodes as possible. It can be shown that the optimization problem is NP-hard. We first propose an approximation algorithm with a performance ratio of four, and then give a distributed algorithm corresponding to the approximation algorithm. Extensive simulations are performed to study the performance of the proposed algorithm. The results show that the proposed algorithm can find a tree of a good approximation to the optimal tree and has a high degree of scalability.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/794
ISBN: 1424405726
Appears in Collections:COMP Conference Papers & Presentations

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