Distributed Neural Network Routing Algorithm Based on Global Information of Wireless Sensor Network

Author(s):  
Wenhui Zhao ◽  
Daxin Liu ◽  
Yu Jiang
2014 ◽  
Vol 513-517 ◽  
pp. 1845-1849
Author(s):  
Hua Rui Wu ◽  
Li Zhu

Routing strategy with effective and saving energy is an important problem in the research on the application of wireless sensor network into the farmland micro climate and soil moisture monitoring,it analyzed the disadvantage of the layered tree routing algorithm and ZigBee routing algorithms in energy saving, combined with ZigBee network topology,establishing an optimal node analysis model based on fuzzy decision, bringing forward a new routing algorithm which is suitable for large-scale farmland gradient environment, this new algorithm find out the quantitative relation between energy consumption and routing node selecting strategy,which can greatly decrease the route hop number by routing discovery mechanism and create an optimum goal group. Simulation results showed that compared with the layered tree and ZigBee routing algorithms,the new routing algorithms can significantly reduce the energy consumption of routing process.


2011 ◽  
Vol 268-270 ◽  
pp. 975-980 ◽  
Author(s):  
Xuan He ◽  
Hai Zhao ◽  
Bi Ju Yu ◽  
Jian Zhu

Design of wireless sensor network routing protocol is still a problem that should be solved quickly. Although there are many achievements in this field, they all focus on single one property of WSN( Wireless Sensor Network) such as delay, hop count, energy consumption and so on. Dealing with the distinctive features of wireless channel, a routing strategy named MHRR( Minimum Hop Routing algorithm with Reliability assurance) based on AODV is proposed. Firstly, this paper provides a method which preserves multiple optimum routes by broadcasting and responding data frame; secondly, a routing filter mechanism is proposed to enhance the reliability of the network. At last, the optimum route can be chosen by specific factor in different situations. Experiments show that MHRR strategy is competent to deal with dynamic and bandwidth constrained WSN in reliability and delay.


2011 ◽  
Vol 11 (6) ◽  
pp. 51-58
Author(s):  
Hye-Kyoung Jeon ◽  
Seung-Jin Han ◽  
Kyung-Yong Chung ◽  
Kee-Wook Rim ◽  
Jung-Hyun Lee

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