Visibility effect on the availability of a terrestrial free space optics link under a tropical climate

Basahel, Ahmed; Rafiqul, Islam Md.; Habaebi, Mohamed Hadi; Suriza, A.Z.

doi:10.1016/j.jastp.2016.03.005

Cited by 22 publications

(12 citation statements)

References 7 publications

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“…Accurate and long-term data collection results in the more reliable prediction model. In equatorial climates, the FSO link can be influenced by rain and normal haze most of the year [26]. Haze attenuation statistics are presented in [26].…”

Section: Hybrid Fso/rf Atmospheric Attenuationmentioning

confidence: 99%

“…In equatorial climates, the FSO link can be influenced by rain and normal haze most of the year [26]. Haze attenuation statistics are presented in [26]. The attenuation was predicted based on 3 years of measured visibility data in Malaysia, whereas FSO rain attenuation statistics is presented in [31].…”

Section: Hybrid Fso/rf Atmospheric Attenuationmentioning

confidence: 99%

“…This approach will be used in the present work in order to develop the hybrid FSO/RF link availability prediction models. Thus, in a tropical climate, the FSO link availability modelling can be developed based on atmospheric attenuation statistics due to rain and haze [25][26][27], and based on rain attenuation statistics for RF link as haze has no effect. In the hybrid FSO/RF, using higher frequencies for RF are the most favourable to maintain data rates comparable to the FSO link.…”

Section: Introductionmentioning

confidence: 99%

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Availability modelling of terrestrial hybrid FSO/RF based on weather statistics from tropical region

et al. 2020

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Section: Hybrid Fso/rf Atmospheric Attenuationmentioning

confidence: 99%

Section: Hybrid Fso/rf Atmospheric Attenuationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Availability modelling of terrestrial hybrid FSO/RF based on weather statistics from tropical region

et al. 2020

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“…Each region derives its model which best represent its region and fit with its local weather data.For example, in a tropical climate, rain is the most constant factor that occurs most of the year [10]. Normal haze also be considered as a parameter that influences the optical signal [11]- [12]. For a given fade statistics under tropical climate condition as shown in Figure 2 The availability predition model can be derived and presented as follow [13]:…”

Section: Availability Prediction Using Local Weather Fade Statisticsmentioning

confidence: 99%

Availability Prediction Methods for Terrestrial Free-Space-Optical Link Under Tropical Climate

Basahel¹,

Islam²,

Habaebi³

et al. 2018

IJEECS

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<p>Free-space optical (FSO) links provide high speed point-to-point wireless communication, but its availability can easily be affected by weather conditions. In heavy rainfall regions, FSO links are relatively sensitive to rain. Availability prediction of FSO is indispensable part, especially in tropical areas. In this paper, methods to predict FSO link availability are presented. The overall performance of FSO link is described in terms of the availability that can be achieved over anticipated link distance. The availability prediction methods demonstrated for an FSO link ranges up to 5 km. The availability prediction methods are based on long-term statistics of atmospheric attenuations and FSO link budget under tropical climate condition. In tropical regions, for a terrestrial FSO link, carrier class availability can be achieved over a few hundred meters only; whereas enterprise class availability can be achieved over a few kilometers link distances. </p>

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“…Chiang Mai is a large provincial centre with a population of 1,735,762, covering an area of 20,107 km 2 [http://stat.dopa.go.th. (cited on 13 February, 2017)].…”

Section: Introductionmentioning

confidence: 99%

PM10 and PM2.5 from Haze Smog and Visibility Effect in Chiang Mai Province Thailand

2018

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Air pollution from haze smog in Chiang Mai Thailand has become a serious problem, with fine particulate matter (FPM), PM10and PM2.5, as the main culprits. These pollutants haveserious effects on health and affect visibility in transportation and tourism. In this study, reduction in visibility was monitored using a digital camera, video records and aerial photography. Visibility in Chiang Mai was analyzed using qualitative and quantitative methods. Visibility was directly measured by GPS and Google Earth mapping. Visibility reduction from haze events was also compared by image analysis in Deciview units. Fine particulate matter concentrations and frequency of fires in Chiang Mai were associated with visibility reduction. Forest fires increased Deciview numbers. In the dry season, the frequency of fire incidents was correlated with both PM10and PM2.5with R2= 0.9 (95% CI, p<0.05). The reversecorrelation (-R2) between visual length (km) and PM10and PM2.5were 0.64 and 0.72 at altitude444 m with 95% CI, p<0.05. The reverse correlation (-R2), at altitude 313 m was 0.93for PM10and 0.96 for PM2.5with 95% CI, p<0.05. The reverse correlation (-R2), at altitude 324 m was 0.86 for PM10 and 0.93 for PM2.5with 95% CI, p<0.05. The association between visibility and FPMat low altitude was found to be more significant than at high altitude.

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Visibility effect on the availability of a terrestrial free space optics link under a tropical climate

Cited by 22 publications

References 7 publications

Availability modelling of terrestrial hybrid FSO/RF based on weather statistics from tropical region

Availability modelling of terrestrial hybrid FSO/RF based on weather statistics from tropical region

Availability Prediction Methods for Terrestrial Free-Space-Optical Link Under Tropical Climate

PM10 and PM2.5 from Haze Smog and Visibility Effect in Chiang Mai Province Thailand

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