An improved method for sink node deployment in wireless sensor network to big data

2021 ◽  
Author(s):  
Yineng Chen ◽  
Xinghui Zhu ◽  
Kui Fang ◽  
Xiaoxuan Chen ◽  
Ting Guo ◽  
...  
Keyword(s):  
Big Data ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Sink Node ◽  
Improved Method ◽  
Node Deployment

scholarly journals Research of RDF Algorithm for Wireless Sensor Network Heterogeneous Node Deployment

2016 ◽  
Vol 12 (10) ◽  
pp. 81
Author(s):  
Xiaoqun Mao
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sink Node ◽  
Message Delivery ◽  
Node Deployment ◽  
Deployment Strategy ◽  
Node Location

<p style="margin: 0in 0in 10pt;"><span style="font-family: Times New Roman; font-size: small;">The relation between the density of a randomly distributed wireless sensor network node and the node’s energy consumption is discussed, and the result shows that the way to extend the network lifetime is to deploy sink nodes in the field with a larger density of sensor nodes. Furthermore, the RDF algorithm a simple, effective and highly efficient strategy for deploying sink nodes, is proposed in this paper based on simulation results. The said algorithm determines the sink node location by giving reference for a large density of sensor nodes. Additionally, the sink node deployment can be efficiently achieved through dividing the region of network and the sink node communication range. Lastly, through simulation verification, the RDF algorithm deployment strategy is further proved valid and effective from the perspective of network lifetime and message delivery rate. </span></p>

Wireless Sensor Node Deployment Research

2012 ◽  
Vol 503-504 ◽  
pp. 1514-1517
Author(s):  
Hai Shen Peng
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Energy Management ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Node Deployment ◽  
Gathering Data

In view of static wireless sensor node deployment efficiency low and dynamic wireless sensor node deployment non-uniform question, proposed based on a sensation environment object minute bunch with the motion proxy node gathering data method, effectively solves wireless sensor node deployment energy management and data collection and so on crucial the technical difficult problems, thus enhances the wireless sensor network the application value

scholarly journals A hybrid clustering routing protocol based on machine learning and graph theory for energy conservation and hole detection in wireless sensor network

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985823 ◽  
Author(s):  
Mohammad Z Masoud ◽  
Yousef Jaradat ◽  
Ismael Jannoud ◽  
Mustafa A Al Sibahee
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Life Time ◽  
Wireless Sensor ◽  
Sink Node ◽  
Hybrid Clustering ◽  
Detection Process ◽  
Network Life Time ◽  
Hole Detection

In this work, a new hybrid clustering routing protocol is proposed to prolong network life time through detecting holes and edges nodes. The detection process attempts to generate a connected graph without any isolated nodes or clusters that have no connection with the sink node. To this end, soft clustering/estimation maximization with graph metrics, PageRank, node degree, and local cluster coefficient, has been utilized. Holes and edges detection process is performed by the sink node to reduce energy consumption of wireless sensor network nodes. The clustering process is dynamic among sensor nodes. Hybrid clustering routing protocol–hole detection converts the network into a number of rings to overcome transmission distances. We compared hybrid clustering routing protocol–hole detection with four different protocols. The accuracy of detection reached 98%. Moreover, network life time has prolonged 10%. Finally, hybrid clustering routing protocol–hole detection has eliminated the disconnectivity in the network for more than 80% of network life time.

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