Nonlinear Gossip Algorithms for Wireless Sensor Networks
Joint Authors
Shi, Chao
Zheng, Yuanshi
Qiu, Hongbing
Wang, Junyi
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-01
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We study some nonlinear gossip algorithms for wireless sensor networks.
Firstly, two types of nonlinear single gossip algorithms are proposed.
By using Lyapunov theory, Lagrange mean value theorem, and stochastic Lasalle’s invariance principle, we prove that the nonlinear single gossip algorithms can converge to the average of initial states with probability one.
Secondly, two types of nonlinear multigossip algorithms are also presented and the convergence is proved by the same methods.
Finally, computer simulation is also given to show the validity of the theoretical results.
American Psychological Association (APA)
Shi, Chao& Zheng, Yuanshi& Qiu, Hongbing& Wang, Junyi. 2014. Nonlinear Gossip Algorithms for Wireless Sensor Networks. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1037739
Modern Language Association (MLA)
Shi, Chao…[et al.]. Nonlinear Gossip Algorithms for Wireless Sensor Networks. Journal of Applied Mathematics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1037739
American Medical Association (AMA)
Shi, Chao& Zheng, Yuanshi& Qiu, Hongbing& Wang, Junyi. Nonlinear Gossip Algorithms for Wireless Sensor Networks. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1037739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1037739