Development of a Simple and Innovative Wave Energy Harvester Suitable for Ocean Sensor Network Application

2015 ◽  
Vol 9 (11) ◽  
pp. 197-210 ◽  
Author(s):  
Olly Roy Chowdhury ◽  
Hong-geun Kim ◽  
Dong-guk Park ◽  
Yongyun Cho ◽  
Changsun Shin ◽  
...  
Keyword(s):  
Sensor Network ◽  
Wave Energy ◽  
Energy Harvester ◽  
Network Application

Performance Analysis for a Wave Energy Harvester of Piezoelectric Cantilever Beam

2019 ◽  
Vol 83 (sp1) ◽  
pp. 976
Author(s):  
Ming Liu ◽  
Hengxu Liu ◽  
Hailong Chen ◽  
Yuanchao Chai ◽  
Liquan Wang
Keyword(s):  
Performance Analysis ◽  
Cantilever Beam ◽  
Wave Energy ◽  
Energy Harvester ◽  
Piezoelectric Cantilever

scholarly journals A REVIEW ON A NOVEL APPROACH FOR DATA COLLECTION IN WSN

2017 ◽  
Vol 16 (3) ◽  
pp. 6213-6218
Author(s):  
Ramandeep Kaur ◽  
Dinesh Kumar
Keyword(s):  
Sensor Network ◽  
Data Aggregation ◽  
Energy Cost ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Threshold Values ◽  
Novel Approach ◽  
Wide Range ◽  
Network Application ◽  
Soft Threshold

Wireless sensor networks have become increasingly popular due to their wide range of application. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggregation and scalability for the sensor network while conserving limited energy. Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. In this paper, we have proposed a modified alogirthm of leach where hard and soft threshold values will be applied for improving the overall throughput and network lifetime.

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