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Data aggregation based topology inference for wireless sensor networks

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2 Author(s)
Zhi-Yong Zhang ; Key Lab. of Broadband Opt. Fiber Transm. & Commun. Networks, Univ. of Electron. Sci. & Technol. of China, Chengdu, China ; Guang-Min Hu

Knowledge of topology in wireless sensor networks is significant for network management and maintenance. In this paper, a conditional probability of data loss theorem is proposed for wireless sensor networks based on the data aggregation probability of data loss theorem. It reveals the relationship between conditional probabilities of sensor data loss given different conditions. Based on this theorem, we propose a novel algorithm to infer topologies of sensor networks using end-to-end loss measurements. The algorithm does not incur any additional burden to the network. A large number of networks are simulated in different scenarios with NS-2. The results show that our proposed algorithm can identify more than 95% of topologies within a small data collection rounds.

Published in:

Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on

Date of Conference:

23-25 Oct. 2009