Radio Frequency Modelling for Future Wireless Sensor Network on Surface of the Moon

Pabari, Jayesh; Acharya, Y. B.; Desai, U.B.; Merchant, S. N.; Krishna, B. Gopala

doi:10.4236/ijcns.2010.34050

Cited by 12 publications

(6 citation statements)

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“…Their results indicate that path loss in the lunar surface environment is much more severe than free-space propagation and is affected by the operating frequency and lunar surface soil. In addition, the study by Pabari et al showed that deploying a relaying sensor is an alternative way of ensuring lunar communication under the area coverage with a constrained signal strength [ 14 ]. Some meaningful works focusing on the interaction between EM waves and the dusty plasma have been conducted.…”

Section: Introductionmentioning

confidence: 99%

Detection of the Lunar Surface Soil Permittivity with Megahertz Electromagnetic Wave

Rao

Mao

2021

Sensors

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In this paper, the detection of the lunar surface soil permittivity with megahertz electromagnetic (EM) waves by spaceborne radar is studied based on the EM scattering theory, the Boltzmann–Shukla equations, and the improved scattering matrix method (ISMM). The reflection characteristics of the lunar surface soil subject to megahertz waves are analyzed through the EM scattering theory and expressed by the lunar surface soil permittivity. Then, the lunar ionosphere is assumed to be composed of dusty plasma, and its EM characteristics are described with the Boltzmann–Shukla equations. Finally, the transmission and reflection characteristics of the propagation of EM waves in the lunar ionosphere are numerically calculated with ISMM. Thus, the complex permittivity of lunar surface soil is obtained. In addition, the effects of detection environment situations, such as the lunar illumination intensity, characteristics of the lunar dust and dust charging process in the lunar ionosphere, on the amplitude and phase of EM waves are also investigated in this study. The simulation results show that an EM wave at a high frequency induces a strong effective wave with a stable phase shift and a significantly small interferential wave. Moreover, the lunar illumination is more effective under EM waves in low frequency bands; the characteristics of the lunar dust have a notable influence on the transmission and absorption coefficients of the effective waves. These conclusions help in real applications involving the detection of the lunar surface soil permittivity by spaceborne radar in various lunar environments.

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Section: Introductionmentioning

confidence: 99%

Detection of the Lunar Surface Soil Permittivity with Megahertz Electromagnetic Wave

Rao

Mao

2021

Sensors

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“…The study covers different deployment topologies with their costs, coverage and connectivity properties. The following study by Pabari et al (2010) searched the radio signal coverage patterns of four lunar terrains by examining real digital elevation model data of the Moon. Prasad and Murty (2011) and Pabari et al (2013) proposed to use WSNs for in situ exploration of lunar water or ice.…”

Section: Introductionmentioning

confidence: 99%

Üç Boyutlu Ay Yüzeyine Kapsamayı Enbüyüklemek Üzere Melez Memetik Algoritma Kullanarak Kablosuz Algılayıcı Yerleştirilmesi

Özkan

2020

Uludağ University Journal of the Faculty of Engineering

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The moon has always been a goal for humanity in history to reach and discover. Since the 1950s, many missions have been carried out in order to achieve this goal. Wireless sensor networks can be a good tool for discovering some of the features of the moon and acquiring very important information for the missions to the moon and beyond to be performed soon. The deployed seismic, monitoring, light, temperature, pressure, etc. types of sensors on the surface of the Moon can collect vital data for the missions. Therefore, in this paper, the wireless sensor deployment problem on the surface of the Moon is studied to maximize coverage. Since the deployment of sensors on 3-D terrain is an NP-hard problem, a hybrid memetic algorithm is developed to solve. The real 3-D digital elevation model of the surface of the Moon for two different terrains near the South Pole is used to test the performance of the proposed algorithm with 64 scenarios and the results are compared with local search and simulated annealing algorithms. According to the results, the proposed hybrid memetic algorithm has better coverage values than the others in acceptable CPU times.Öz: Ay, tarihte insanlığın her zaman ulaşması ve keşfetmesi için bir amaç olmuştur. 1950'lerden bu yana, bu hedefe ulaşmak için birçok görev gerçekleştirilmiştir. Kablosuz algılayıcı ağlar, ayın bazı özelliklerini keşfetmek ve yakında gerçekleştirilecek olan ay ve ötesindeki görevler için çok önemli bilgiler edinmek için iyi bir araç olarak görünmektedir. Ay yüzeyine konuşlandırılabilecek sismik, izleme, ışık, sıcaklık, basınç vb. algılayıcı tipleri görevler için hayati veriler toplayabilecektir. Bu nedenle, bu çalışmada kapsamayı en üst düzeye çıkarmak için Ay yüzeyine kablosuz algılayıcı konuşlandırma problemi incelenmiştir. Algılayıcıların üç boyutlu arazide konuşlandırılması NP-zor bir problem olduğundan, çözmek için melez bir memetik algoritma geliştirilmiştir. Güney Kutbu yakınındaki iki farklı arazi için Ay yüzeyinin gerçek üç boyutlu dijital yükseklik modeli 64 senaryo ile önerilen algoritmanın performansını test etmek için kullanılmış ve sonuçlar yerel arama ve tavlama benzetimi algoritmaları ile karşılaştırılmıştır. Sonuçlara göre, önerilen melez memetik algoritma kabul edilebilir CPU zamanlarında diğerlerinden daha iyi kapsama değerlerine sahiptir.

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“…Chukkala et al provided simulation of the Mars Radio Frequency (RF) environment [1]. Pabari et al explain the new radio propagation model for the moon [6]. The operating frequency is 2.4 GHz in the present application scenario, and deployment of sensor on the surface of Mars, where functioning conditions differ from those on Earth.…”

Section: Introductionmentioning

confidence: 99%

RF Propagation Model for Wireless Sensor Network of MARs

Shekh,

Dwivedi,

Pabari

2019

IJEAT

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NASA exploration mission on Mars includes the use of rovers and sensors communicating via wireless sensor networks. The network components have a limited range of transmission, low power consumption, low price and a small lifespan. A wireless network's performance is mainly dependent on the RF environment. A Wireless Sensor Network (WSN) on the Mars ground is planned to deploy wireless sensors capable of operating under harsh environmental conditions to detect few properties of regolith on the Martian surface. The main interest property is dielectric permittivity and permeability. Since communicating on the Mars is a difficult and challenging task, the behavior of communications surfaces can be predicted by a channel model. So, efforts have been put to Develop a channel propagation Model to know the behavior of communication channel on the atmosphere of Mars. In order to study the model for radio propagation on Mars, two sites were selected from Gale crater and Meridian Planum at different sites for the Mars with near-flat surfaces, a certain area with peaks and a region with few craters

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Radio Frequency Modelling for Future Wireless Sensor Network on Surface of the Moon

Cited by 12 publications

References 11 publications

Detection of the Lunar Surface Soil Permittivity with Megahertz Electromagnetic Wave

Detection of the Lunar Surface Soil Permittivity with Megahertz Electromagnetic Wave

Üç Boyutlu Ay Yüzeyine Kapsamayı Enbüyüklemek Üzere Melez Memetik Algoritma Kullanarak Kablosuz Algılayıcı Yerleştirilmesi

RF Propagation Model for Wireless Sensor Network of MARs

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