Collaborative data aggregation using multiple antennas sensors and fusion centre with energy harvesting capability in WSN

2019 ◽  
Vol 13 (13) ◽  
pp. 1971-1979 ◽  
Author(s):  
Morteza Choubin ◽  
Abass Taherpour ◽  
Mehdi Rahmani
Keyword(s):  
Energy Harvesting ◽  
Data Aggregation ◽  
Multiple Antennas ◽  
Fusion Centre

RF energy harvesting with multiple antennas in the same space

2005 ◽  
Vol 47 (5) ◽  
pp. 100-106 ◽  
Author(s):  
Minhong Mi ◽  
M.H. Mickle ◽  
C. Capelli ◽  
H. Swift
Keyword(s):  
Energy Harvesting ◽  
Multiple Antennas ◽  
Rf Energy Harvesting ◽  
Rf Energy

Radio Frequency Energy Harvesting System Making Use of 180° Hybrid Couplers and Multiple Antennas to Improve the DC Output Voltage

2020 ◽  
Vol 18 (03) ◽  
pp. 604-612
Author(s):  
Jonathan Martinez Moreno ◽  
Agustin Santiago Medina Vazquez ◽  
Carlos Alberto Bonilla Barragan ◽  
Jose Martin Villegas Gonzalez ◽  
Juan Carlos Aldaz Rosas
Keyword(s):  
Energy Harvesting ◽  
Radio Frequency ◽  
Output Voltage ◽  
Multiple Antennas ◽  
Radio Frequency Energy ◽  
Energy Harvesting System

Energy-collision-aware Minimum Latency Aggregation Scheduling for Energy-harvesting Sensor Networks

2021 ◽  
Vol 17 (4) ◽  
pp. 1-34
Author(s):  
Quan Chen ◽  
Zhipeng Cai ◽  
Lianglun Cheng ◽  
Hong Gao ◽  
Jianzhong Li
Keyword(s):  
Sensor Networks ◽  
Energy Harvesting ◽  
Data Aggregation ◽  
High Performance ◽  
Renewable Energy Sources ◽  
Residual Energy ◽  
Interference Model ◽  
Energy Collision ◽  
Minimum Latency ◽  
Physical Interference Model

The emerging energy-harvesting technology enables charging sensor batteries with renewable energy sources, which has been effectively integrated into Wireless Sensor Networks (EH-WSNs). Due to the limited energy-harvesting capacities of tiny sensors, the captured energy remains scarce and differs greatly among nodes, which makes the data aggregation scheduling problem more challenging than that in energy-abundant WSNs. In this article, we investigate the Minimum Latency Aggregation Scheduling (MLAS) problem in EH-WSNs. First, we identify a new kind of collision in EH-WSNs, named as energy-collision, and design several special structures to avoid it during data aggregation. To reduce the latency, we try to choose the parent adaptively according to nodes’ transmission tasks and energy-harvesting ability, under the consideration of collisions avoidance. By considering transmitting time, residual energy, and energy-collision, three scheduling algorithms are proposed under protocol interference model. Under physical interference model, several approximate algorithms are also designed by taking account of the interference from the nodes several hops away. Finally, the theoretical analysis and simulation results verify that the proposed algorithms have high performance in terms of latency.

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