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Type: Conference paper
Title: Distributed tuning attempt probability for data gathering in random access wireless sensor networks
Author: Zhang, H.
Shen, H.
Citation: 20th International Conference on Advanced Information Networking and Applications : proceedings : 18-20 April, 2006, Vienna, Austria / sponsored by IEEE Computer Society Technical Committee on Distributed Processing (TCDP) ; Vienna University of Technology, Vienna, Austria, pp.643-648
Publisher: IEEE
Publisher Place: Online
Issue Date: 2006
ISBN: 0769524664
ISSN: 1550-445X
Conference Name: International Conference on Advanced Information Networking and Applications (20th : 2006 : Vienna, Austria)
Statement of
Haibo Zhang and Hong Shen
Abstract: In this paper, we study the problem of data gathering in multi-hop wireless sensor networks. To tackle the high degree of channel contention and high probability of packet collision induced by bursty traffic, we introduce a novel model based on random channel access scheme for data gathering. In our model, both data delivery reliability and latency are considered, and our goal is to tune the attempt probability for each sensor node so that the data gathering duration can be minimized on condition that each link in the data gathering tree can provide guaranteed per-hop packet delivery reliability. We formulate this problem as an optimization problem and propose a distributed heuristic algorithm which exploits only two hop neighbors information to solve it for tree networks. We evaluate the algorithm and the model by simulations, and results show that our algorithm has low computational complexity and our model can provide a good trade-off between reliability and latency for data gathering.
Description: Copyright © 2006 IEEE
DOI: 10.1109/AINA.2006.151
Appears in Collections:Aurora harvest
Computer Science publications

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