Open AccessEnergy efficiency clustering based on Gaussian network for wireless sensor network
Author(s) -
Nguyen Quoc Dung,
Bi Lvqing,
Wu Yangbing,
He Shan,
Li Lin,
Guo Donghui
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5398
Subject(s) - computer science , computer network , routing protocol , wireless sensor network , hierarchical routing , key distribution in wireless sensor networks , dynamic source routing , wireless network , mobile wireless sensor network , distributed computing , wireless wan , wireless routing protocol , routing (electronic design automation) , wireless , telecommunications
In this study, the authors consider the sensors' connection model design and energy optimisation of routing protocol in wireless sensor networks based on the Gaussian network connection model. Accordingly, by the node‐symmetric and four different directions to four adjacent nodes of each node in the Gaussian network model, the study recommends a new wireless sensor network connection model, on which the network area will be divided into some virtual square grids. In the new wireless sensor network connection model, they describe each virtual square grid as a node in the Gaussian network, therefrom, they propose a routing method, which is a combination of the shortest path routing protocol in the Gaussian network and clustering protocol to improve the routing efficiency of the wireless sensor network. Some simulations were implemented in NS2, the results show that the proposed routing is very good.