Abstract
IoT is made up of heterogeneous networks which transport a huge volume of data packets over the Internet. Improper utilization of bandwidth or insufficient bandwidth allocation leads to faults such as packet loss, setting up routing path between source and destination, reduction of speed in data communication, etc. One of the vital causes of insufficient bandwidth is nonuniform growth in the number of Internet users in a specific region. In this paper, we propose a framework for efficient distribution of bandwidth over a region based on depth of field analysis and population statistics analysis. We propose to use existing Google Earth Pro APIs over satellite images to estimate possible number of users in a particular area and plan to allocate bandwidth accordingly. The proposed framework is aimed to reduce packet loss and distortion effects due to scattering and refraction.
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Aher, M., Pradhan, S., Dandawate, Y.: Rainfall estimation over roof-top using land-cover classification of google earth images. In: 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies (ICESC), pp. 111–116. IEEE (2014)
Harvey, J.: Estimating census district populations from satellite imagery: some approaches and limitations. vol. 23, pp. 2071–2095. Taylor & Francis (2002)
Haverkamp, D.: Automatic building extraction from ikonos imagery. In: Proceedings of the ASPRS 2004, Annual Conference. Citeseer (2004)
Hegde, V., Aswathi, T., Sidharth, R.: Student residential distance calculation using haversine formulation and visualization through googlemap for admission analysis. In: 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1–5. IEEE (2016)
Jun, J.N., Seo, D.C., Lim, H.S.: Calculation of agricultural land flooding disaster area by typhoon from kompsat-1 eoc satellite image data. In: Proceedings 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS’04, vol. 7, pp. 4678–4681. IEEE (2004)
Ogrosky, C.E.: Population estimates from satellite imagery 41, 707–712 (1975)
Pure, R., Durrani, S.: Computing exact closed-form distance distributions in arbitrarily-shaped polygons with arbitrary reference point 17, 1–27 (2015)
Robinson, C., Hohman, F., Dilkina, B.: A deep learning approach for population estimation from satellite imagery. In: Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities, pp. 47–54. ACM (2017)
Setiawan, A., Sediyono, E.: Using google maps and spherical quadrilateral approach method for land area measurement. In: 2017 International Conference on Computer, Control, Informatics and its Applications (IC3INA), pp. 85–88. IEEE (2017)
Sutton, P., Roberts, D., Elvidge, C., Baugh, K.: Census from heaven: An estimate of the global human population using night-time satellite imagery. vol. 22, pp. 3061–3076. Taylor & Francis (2001)
Wang, C.X., Haider, F., Gao, X., You, X.H., Yang, Y., Yuan, D., Aggoune, H., Haas, H., Fletcher, S., Hepsaydir, E.: Cellular architecture and key technologies for 5g wireless communication networks. vol. 52, pp. 122–130. IEEE (2014)
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Maji, R., Das, S., Chaki, R. (2020). ZoBe: Zone-Oriented Bandwidth Estimator for Efficient IoT Networks. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 995. Springer, Singapore. https://doi.org/10.1007/978-981-13-8962-7_3
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DOI: https://doi.org/10.1007/978-981-13-8962-7_3
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