Cost minimization of wireless sensor networks with unlimited-lifetime energy for monitoring oil pipelines

Xia, Changqing; Liu, Wei; Deng, Qingxu

doi:10.1109/jas.2015.7152663

Cited by 17 publications

(1 citation statement)

References 20 publications

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“…As the WSNs are placed through the immense length of pipeline therefore recharging enormous number of batteries is not feasible. Furthermore batteries are also hazardous to the environment and hence require standard procedures to dispose them off [7]. For long lasting operation of WSNs an alternative source for powering these is a real need.…”

Section: Introductionmentioning

confidence: 99%

Analytical Modeling and Simulation of an Electromagnetic Energy Harvester for Pulsating Fluid Flow in Pipeline

Bakhtiar

Khan

2019

The Scientific World Journal

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This paper presents the analytical modeling and simulation of an electromagnetic energy harvester (having linear behaviour) that generates power from pulsating fluid flow for pipeline condition monitoring systems. The modeled energy harvester is comprised of a cylindrical permanent magnet and a wound coil attached to a flexible membrane which oscillates due to the pulsating fluid flow in the pipe over which the prototype is considered to be mounted. In the harvester electrical energy is produced due to the relative motion between the coil and magnet. Based on the harvester’s architecture a lumped parameter model (single degree of freedom system) is developed and is simulated at different physical operational conditions. The simulation is performed at pressure amplitude of 625 Pa. When subjected to the operational frequency sweep, at the harvester’s resonant frequency (500 Hz) and damping ratio of 0.01, the devised model predicted the maximum open circuit voltage of 2.55 V and load voltage of 1.27 V. While operating under resonance, the maximum load voltage of 2.45 V is estimated at load resistance of 100 Ω. However, at an optimum load of 4.3 Ω, the simulation shows a production of 188151.2 μW power at a frequency of 500 Hz.

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Section: Introductionmentioning

confidence: 99%

Analytical Modeling and Simulation of an Electromagnetic Energy Harvester for Pulsating Fluid Flow in Pipeline

Bakhtiar

Khan

2019

The Scientific World Journal

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Charging scheduling strategy for linear wireless power transfer network with external power injection

Yang

Jiang

et al. 2021

Circuit Theory & Apps

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Summary Wireless power transfer network (WPTN) can provide efficient, timely, and dynamic charging service for multiple devices wirelessly by adopting mobile chargers. However, there are still urgent requirements to reduce the cost and improve the charging performance of WPTN. Therefore, this paper proposes the charging scheduling strategy for linear WPTN in which devices are distributed linearly or approximately linearly. An improved energy consumption model of the WPTN node is discussed firstly. Then, considering the charging capability of the wireless power transfer module, a charging threshold is selected to improve energy use efficiency. Moreover, the regional charging of mobile chargers is realized, so the distribution of carried energy on mobile chargers could be balanced and the maximum required energy that a single mobile charger carried could be reduced. Meanwhile, the processes of charging scheduling and energy delivery are analyzed in detail. Finally, simulation analysis and experimental data verify the effectiveness of the proposed charging scheduling strategies.

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Convergecast scheduling and cost optimization for industrial wireless sensor networks with multiple radio interfaces

Jin

Xia

et al. 2017

Wireless Netw

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Cost minimization of wireless sensor networks with unlimited-lifetime energy for monitoring oil pipelines

Cited by 17 publications

References 20 publications

Analytical Modeling and Simulation of an Electromagnetic Energy Harvester for Pulsating Fluid Flow in Pipeline

Analytical Modeling and Simulation of an Electromagnetic Energy Harvester for Pulsating Fluid Flow in Pipeline

Charging scheduling strategy for linear wireless power transfer network with external power injection

Convergecast scheduling and cost optimization for industrial wireless sensor networks with multiple radio interfaces

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