Harvesting solar energy for limited-energy problem in wireless sensor networks

Koşunalp, Selahattin; Cihan, Ahmet

doi:10.1109/siu.2017.7960535

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…solar energy is modeled as a Gamma random variable in [16]) for tractability reasons. A plethora of research works consider solar energy harvesting in wireless sensor networks [17]- [19]; however, to the best of our knowledge, there are no concrete statistical models for the solar or wind harvested energy or power and their applications to communication networks are unknown. In addition, the aforementioned research works are focused mainly on the numerical optimization or simulationbased studies.…”

Section: B Motivation and Contributionsmentioning

confidence: 99%

On the Performance of Renewable Energy-Powered UAV-Assisted Wireless Communications

Sekander,

Tabassum,

Hossain

2019

Preprint

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We develop novel statistical models of the harvested energy from renewable energy sources (such as solar and wind energy) considering harvest-store-consume (HSC) architecture. We consider three renewable energy harvesting scenarios, i.e. (i) harvesting from the solar power, (ii) harvesting from the wind power, and (iii) hybrid solar and wind power. In this context, we first derive the closed-form expressions for the probability density function (PDF) and cumulative density function (CDF) of the harvested power from the solar and wind energy sources. Based on the derived expressions, we calculate the probability of energy outage at UAVs and signal-to-noise ratio (SNR) outage at ground cellular users. The energy outage occurs when the UAV is unable to support the flight consumption and transmission consumption from its battery power and the harvested power. Due to the intricate distribution of the hybrid solar and wind power, we derive novel closed-form expressions for the moment generating function (MGF) of the harvested solar power and wind power. Then, we apply Gil-Pelaez inversion to evaluate the energy outage at the UAV and signal-to-noise-ratio (SNR) outage at the ground users. We formulate the SNR outage minimization problem and obtain closed-form solutions for the transmit power and flight time of the UAV. In addition, we derive novel closedform expressions for the moments of the solar power and wind power and demonstrate their applications in computing novel performance metrics considering the stochastic nature of the amount of harvested energy as well as energy arrival time. These performance metrics include the probability of charging the UAV battery within the flight time, average UAV battery charging time, probability of energy outage at UAVs, and the probability of eventual energy outage (i.e. the probability of energy outage in a finite duration of time) at UAVs. Numerical results validate the analytical expressions and reveal interesting insights related to the optimal flight time and transmit power of the UAV as a function of the harvested energy.

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Section: B Motivation and Contributionsmentioning

confidence: 99%

On the Performance of Renewable Energy-Powered UAV-Assisted Wireless Communications

Sekander,

Tabassum,

Hossain

2019

Preprint

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“…Diğer bir çalışmada, kablosuz algılayıcı ağlarda güneş paneli kullanarak enerji hasadı yapılmıştır. Bu sebeple algılayıcı düğümlerin güneş enerjisini kullanmaları için bir platform geliştirilmiştir [12].…”

Section: Literatür Taramasıunclassified

Energy Harvesting Unit Design for Body Area Networks

Çalhan

Gündoğdu²,

Ci̇ci̇oğlu

et al. 2019

Sakarya University Journal of Computer and Information Sciences

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Vücut Alan Ağları, uzaktan sağlık izleme ve nesnelerin interneti konularının temel bir parçası olarak günümüz bilim dünyasında yerini almıştır. Vücut üzerinde, çevresinde ya da içinde yeralabilen algılayıcı düğümlerin ölçtüğü sinyaller bu ağa sahip bireylerin sağlığı hakkında bilgileri aktarmaktadır. Vücut Alan Ağları'nın diğer ağ tiplerine benzer problemleri bulunmaktadır ve bu problemlerin başında enerji tüketimi gelmektedir. Vücut Alan Ağları genellikle kablosuz iletişim yapmakta ve kişinin hareket halindeyken de düğümlerin ölçüm yapması için enerji birimlerine (pil, akü vb.) ihtiyaç duymaktadır. Bu sebeple enerji ünitesinin her zaman değiştirilebilmesi mümkün olmamaktadır. Bu çalışmada Vücut Alan Ağı'nın enerji problemini ortadan kaldırmak için enerji hasadı ünitesi geliştirilmiştir. Piezoelektrik malzeme ve peltierden oluşan bu ünite Vücut Alan Ağı'nın enerji ihtiyacını karşılamaktadır.

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Joint Energy Sustainability and Quality of Service Framework Providing Soft Guarantees for Energy Harvesting Wireless Mesh Networks

Barghi

Azhari

2018

Wireless Pers Commun

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Harvesting solar energy for limited-energy problem in wireless sensor networks

Cited by 3 publications

References 10 publications

On the Performance of Renewable Energy-Powered UAV-Assisted Wireless Communications

On the Performance of Renewable Energy-Powered UAV-Assisted Wireless Communications

Energy Harvesting Unit Design for Body Area Networks

Joint Energy Sustainability and Quality of Service Framework Providing Soft Guarantees for Energy Harvesting Wireless Mesh Networks

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