The wireless sensor network routing choice model based on game theory

2015 ◽  
pp. 355-358
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Choice Model ◽  
Network Routing ◽  
Wireless Sensor ◽  
Model Based

scholarly journals Wireless Sensor Network Routing Based on Sensors Grouping

2014 ◽  
Vol 06 (01) ◽  
pp. 8-17 ◽  
Author(s):  
Ammar Hawbani ◽  
Xingfu Wang ◽  
Yan Xiong ◽  
Saleem Karmoshi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Routing ◽  
Wireless Sensor

scholarly journals A secure dynamic adaptive routing technique using game theory in wireless sensor network

2018 ◽  
Vol 7 (2) ◽  
pp. 768
Author(s):  
Muruganandam. A ◽  
Anitha. R
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Security ◽  
Wireless Sensor ◽  
Wireless Data ◽  
End To End Delay ◽  
And Performance ◽  
Secured Communication ◽  
Significant Concentration

A Wireless Sensor Network (WSNs) is popular developing the field in industrial and other major markets. Wireless data security is the central theme in the WSNs application where security of transmitted data is more concerned. Due to the significant concentration of energy efficiency and performance analysis in WSN, providing secured communication is a challenging issue. To overcome this interdependent problem Game theory can be used. Game theory is applied here to select different routes to transfer the data from source to destination. The performance of the WSNs can be increased by providing security for transmitted data. The graph for throughput, end to end delay, delivery, and packet loss ratio are generated using NS2 simulation tool.

A Wireless Sensor Network Routing Algorithm Based on Zigbee

2014 ◽  
Vol 513-517 ◽  
pp. 1845-1849
Author(s):  
Hua Rui Wu ◽  
Li Zhu
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Large Scale ◽  
Routing Algorithm ◽  
Network Routing ◽  
Routing Algorithms ◽  
Wireless Sensor ◽  
Quantitative Relation ◽  
Analysis Model

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.

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