Software Defined Network Routing in Wireless Sensor Network

2017 ◽  
pp. 3-11 ◽  
Author(s):  
Junfeng Wang ◽  
Ping Zhai ◽  
Yin Zhang ◽  
Lei Shi ◽  
Gaoxiang Wu ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Routing ◽  
Wireless Sensor ◽  
Software Defined Network

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

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.

scholarly journals Design of Wireless Sensor Network Routing for Renewable Energy Microgrid

2018 ◽  
Vol 366 ◽  
pp. 012022
Author(s):  
Guanke Liu ◽  
Yanling Zhang ◽  
Fang Luo ◽  
Jianan Yuan
Keyword(s):  
Renewable Energy ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Routing ◽  
Wireless Sensor

A dynamic technique to enhance quality of service in software-defined network-based wireless sensor network (DTEQT) using machine learning

2019 ◽  
Vol 18 (01) ◽  
pp. 1941020
Author(s):  
S. Ananth ◽  
A. M. Kalpana ◽  
R. Vijayarajeswari
Keyword(s):  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Dynamic Networks ◽  
Dynamic Network ◽  
Wireless Sensor ◽  
Software Defined Network ◽  
Mobile Nodes ◽  
Energy Constrained

Wireless Sensor Network (WSN) is the interconnection between things or objects embedded with hardware and software. In WSN, small end devices (like sensors) and high end devices (like servers) are connected to the Internet. For WSN enabled in Software-Defined Network (SDN), the routers are controlled using a controller server node. It is a dynamic network due to the presence of mobile nodes and energy constrained nodes. The routing is the process of detecting route from source to target. In dynamic networks like WSN, routing is a challengeable task. This paper is to provide a routing solution for backboneless SDN-enabled WSN. The proposed work enhances routing Quality of Service (QoS) in WSN. The paths are dynamically reallocated to reduce the packet loss.

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