Joint Resource Optimization in Two-way Relaying Energy Harvesting Cognitive Sensor Network

A cognitive sensor network with energy harvesting (EH-CSN) is a promising paradigm to address the issues both in spectrum efficiency and in energy efficiency. The cognitive sensors (CSs) equipped with energy harvesting devices are assumed to operate in a harvesting-sensing-transmission mode and permitted to access the idle licensed frequency bands without causing any harmful jamming to the primary user. By identifying the time fractions of harvesting, sensing, and transmission, we can discuss some design considerations for the EH-CSN. In the meantime, considering the possibility that the primary user may reoccupy the idle channel during the CS’s data transmission duration, we formulate an optimization problem to maximize the average throughput of EH-CSN under a collision constraint and an energy constraint. After deriving the lower and upper bounds of the time fraction for energy harvesting, the uniqueness and existence of the optimal time fraction set have been proved. Finally, our theoretical analysis is also verified through numerical simulations.

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ENS: An Energy Harvesting Wireless Sensor Network Platform

2010 Fifth International Conference on Systems and Networks Communications ◽

10.1109/icsnc.2010.18 ◽

2010 ◽

Cited By ~ 7

Author(s):

Matthew Barnes ◽

Chris Conway ◽

James Mathews ◽

D. K. Arvind

Keyword(s):

Wireless Sensor Network ◽

Energy Harvesting ◽

Sensor Network ◽

Wireless Sensor ◽

Network Platform

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Multi-Source Hybrid Energy Harvesting Wireless Sensor Network Framework for Addressing Energy Unpredictability Issues

International Journal of Engineering Research in Africa ◽

10.4028/www.scientific.net/jera.57.225 ◽

2021 ◽

Vol 57 ◽

pp. 225-241

Author(s):

Aditi Paul ◽

Indu Pandey

Keyword(s):

Wireless Sensor Network ◽

Energy Harvesting ◽

Sensor Network ◽

Complex Structure ◽

Research Direction ◽

Ease Of Use ◽

Sensor Nodes ◽

Wireless Sensor ◽

Functional Efficiency ◽

Design Paradigm

Energy harvesting wireless sensor network (EH-WSN) harvests energy from the environment to supply power to the sensor nodes which apparently enhances their lifetime. However, the unpredictable nature of the resources throws challenges to the sustainability of energy supply for the continuous network operation. This creates a gap between unstable energy harvesting rates & energy requirements of the nodes of the network. The state-of-the-art algorithms proposed so far to address this problem domain are not able to bridge the gap fully to standardize the framework. Hence there is considerable scope of research to create a trade-off between EH techniques and specially designed protocols for in EH-WSN. Current study evaluates the performance and efficiency of some futuristic techniques which incorporate advanced tools and algorithms. The study aims to identify the strength and weaknesses of the proposed techniques which can emerge specific research requirement in this field. Finally, we propose a research direction towards Multi-source Hybrid EH-WSN (MHEHWSN) which is able to maximize energy availability and functional efficiency. The scope of this study is to develop a notion of a framework which eliminates the limitations of very recent techniques of EH-WSN by including multiple energy resources to extract required energy even in presence of unpredictability. However, keeping in mind the ease of use and less complex structure Multi-source hybrid EH technique requires a careful design paradigm.

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