Embedded Machine Learning for the implementation of Autonomous Mobile Sensor Nodes (AMSNs)

2021 ◽  
Author(s):  
Luca Di Nunzio
Keyword(s):  
Machine Learning ◽  
Sensor Nodes ◽  
Mobile Sensor ◽  
Mobile Sensor Nodes

scholarly journals An analysis of mobility management for mobile sensor nodes in MWSN

2018 ◽  
Vol 232 ◽  
pp. 04078
Author(s):  
Min Zhang ◽  
Jun-Bin Liang
Keyword(s):  
Mobility Management ◽  
Research Literature ◽  
Sensor Nodes ◽  
Mobile Sensor ◽  
Existing Problems ◽  
Advantages And Disadvantages ◽  
Management Schemes ◽  
Mobile Sensor Nodes ◽  
Mobile Wireless Sensor ◽  
Efficiency Data

Mobile wireless sensor networks (MWSN) are composed of a large number of mobile sensor nodes, which are used to collect data. MWSN have been widely applied in a variety of harsh environments, so mobile sensor nodes are often at risk of damage. How to manage mobile sensor nodes is an important issue. In this paper, we analyse different mobility management schemes proposed in some typical research literature and classify these schemes by using three features: the collaboration between mobile sensor nodes, routing and deployment in MWSN. We specify advantages and disadvantages of the proposed schemes, compare different key parameters of MSWN respectively, including energy efficiency, data delay, cost and lifetime, etc. Finally, we discuss existing problems of MWSN management and give some helpful suggestions in this area.

Deriving high-resolution urban air pollution maps using mobile sensor nodes

2015 ◽  
Vol 16 ◽  
pp. 268-285 ◽  
Author(s):  
David Hasenfratz ◽  
Olga Saukh ◽  
Christoph Walser ◽  
Christoph Hueglin ◽  
Martin Fierz ◽  
...  
Keyword(s):  
Air Pollution ◽  
High Resolution ◽  
Urban Air Pollution ◽  
Sensor Nodes ◽  
Urban Air ◽  
Mobile Sensor ◽  
Mobile Sensor Nodes
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