Energy Efficient Data Gathering Technique Based on Optimal Mobile Sink Node Selection for Improved Network Life Time in Wireless Sensor Network (WSN)

2020 ◽  
Vol 113 (4) ◽  
pp. 2107-2126
Author(s):  
R. Ashween ◽  
B. Ramakrishnan ◽  
M. Milton Joe
Keyword(s):  
Wireless Sensor Network ◽  
Energy Efficient ◽  
Data Gathering ◽  
Life Time ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Sink Node ◽  
Efficient Data ◽  
Network Life Time ◽  
Selection For

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.

An image processing inspired mobile sink solution for energy efficient data gathering in wireless sensor networks

2014 ◽  
Vol 21 (1) ◽  
pp. 227-249 ◽  
Author(s):  
Charalampos Konstantopoulos ◽  
Basilis Mamalis ◽  
Grammati Pantziou ◽  
Vasileios Thanasias
Keyword(s):  
Image Processing ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Data Gathering ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Efficient Data
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