Enhancing the Performance of an Energy Harvesting Wireless Sensor Node Using Markov Decision Process

Author(s):  
S. Viswanatha Rao ◽  
Sakuntala S. Pillai ◽  
G. Shiny
Author(s):  
Abayomi Ajofoyinbo ◽  
◽  
David O. Olowokere ◽  
Oye Ibidapo-Obe

The paper presents N-element switchable beam antennas (BAs) system design for Wireless Sensor Node (WSN), in which the operation of the BAs was characterized by semi-Markov Decision Process (SMDP) with variable sojourn time. A matrix-based switching methodology was introduced for selecting an operational BA, based on the received signal power by each BA. Optimal analysis was carried-out to obtain optimal results in terms of the maximum total of sum of discounted reward in current states. Also developed in the study is the methodology for switching a BA from non-operational to operational state and vice-versa. The effectiveness of this switchable BAs system design was tested via numerical analysis implemented in MATLAB software. Numerical results show that this novel approach enables the WSN equipped with BAs to select and maintain an operational BA in receive (or transmit) mode for the entire duration of packets reception (or transmission). The authors found no paper in the existing literature that provides this capability.


2016 ◽  
Vol 773 ◽  
pp. 012033
Author(s):  
M. A. Cowell ◽  
B. P. Lechene ◽  
P. Raffone ◽  
J. W. Evans ◽  
A. C. Arias ◽  
...  

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Fariborz Entezami ◽  
Meiling Zhu ◽  
Christos Politis

AbstractThere is a big challenge for research and industrial engineers to apply energy harvesting powered wireless sensors for practical applications. This is because wireless sensors is very power hungry while current energy harvesting systems can only harvest very limited energy from the ambient environment. In order for wireless sensors to be operated based on the limited energy harvested, understanding of power consumption of wireless sensors is the first task for implementation of energy harvesting powered wireless sensors systems. In this research an energy consumption model has been introduced for wireless sensor nodes and the power consumption in the life cycle of wireless communication sensors, consisting of JN5148 microcontroller and custom built sensors: a 3-axial accelerometer, a temperature sensor and a light sensor, has been studied. All measurements are based on a custom-built test bed. The power required carrying out a life cycle of wireless sensing and transmission is analysed. This paper describes how to analyse the current consumption of the system in active mode and thus power Consumption for sleeping and deployed sensors mode. The results show how much energy needs to run the energy harvesting powered wireless sensor node with JN5148 microcontroller.


Electronics ◽  
2016 ◽  
Vol 5 (4) ◽  
pp. 26 ◽  
Author(s):  
Ljubomir Vračar ◽  
Aneta Prijić ◽  
Damir Nešić ◽  
Saša Dević ◽  
Zoran Prijić

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