Designing Web-GIS based system on optimal routing between different parts of the battlefield in order to properly management and planning future military operations

Document Type : Original Article

Authors

1 Faculty Member of Imam Ali University

2 Researcher of the Studies Center, Imam Ali University

3 Assistant Prof. in Department of Mathematics, Imam Ali University

Abstract

Rapid access to spatial information is one of the most fundamental pillars of present and future operations. In this case, the issue of navigation and awareness of the military geography of the area of ​​operation is one of the challenges of commanders and managers at different levels of the organization during combat. Web-GIS system is a powerful tool for planning and scheduling any spatial operation and provides many capabilities. Most of the ground attacks are in suburban and border areas, and there are not many defined access routes, So It is necessary to create routing system to investigate transportation routes in this type of areas. This research tries to create a comprehensive Web-GIS system, in a comprehensive network of command and control in a high security user environment, to provide the required spatial information of the battlefield and the routing process to plan future operations, Performed in accordance with the desired parameters. The input information of the router system is processed using the triangulation technique and the appropriate cost function in the preprocessing study, which reduces the data volume and increases the processing speed. Using PostgreSQL database, Apache web server and open source plugins, this system forms a public utility suite. We also tried to make the user interface user-friendly and contain enough tools. Using Web-GIS routing system, the system will play a key role in battlefield positioning, access to camp maps and the creation of a comprehensive offline system, logistics management, command and control of future military operations.

Keywords

References

  •  

    • Agrawal, S., & Gupta, R. D. (2017). Web GIS and its architecture: a review. Arabian Journal of Geosciences, 10(23).
    • Alesheikh, A. A., Helali, H., & Behroz, H. A. (2002, July). Web GIS: technologies and its applications. In Symposium on geospatial theory, processing and applications (Vol. 15). Kersting, O., & Döllner, J. (2002, November). Interactive 3D visualization of vector data in GIS. In Proceedings of the 10th ACM international symposium on Advances in geographic information systems(pp. 107-112).
    • Ananda, F., Kuria, D., & Ngigi, M. (2016). Towards a New Methodology for Web GIS Development. International Journal of Software Engineering &
    • Balasubramanian, A. (2017). Digital elevation model (DEM) in Gis. University of Mysore.
    • Chen, G., Pui, C. W., Li, H., Chen, J., Jiang, B., & Young, E. F. (2019, January). Detailed routing by sparse grid graph and minimum-area-captured path search. In Proceedings of the 24th Asia and South Pacific Design Automation Conference(pp. 754-760).
    • Dragićević, S., & Balram, S. (2004). A Web GIS collaborative framework to structure and manage distributed planning processes. Journal of Geographical Systems, 6(2), 133–153. https://doi.org/10.1007/s10109-004-0130-7
    • Dvorski, D. D. (2007). Installing, configuring and developing with Xampp. Skills Canada.
    • Eiza, M. H., & Ni, Q. (2013). An evolving graph-based reliable routing scheme for VANETs. IEEE transactions on vehicular technology, 62(4), 1493-1504.
    • Hua, J., & Sakurai, K. (2011, June). A sms-based mobile botnet using flooding algorithm. In IFIP International Workshop on Information Security Theory and Practices(pp. 264-279). Springer, Berlin, Heidelberg.
    • Huang, X., Zhu, W., & Lu, D. (2010). Underground miners localization system based on ZigBee and WebGIS. 2010 18th International Conference on Geoinformatics, Geoinformatics 2010, 2–6.
    • Jia, Y., Zhao, H., Niu, C., Jiang, Y., Gan, H., Xing, Z., … Zhao, Z. (2009). A WebGIS-based system for rainfall-runoff prediction and real-time water resources assessment for Beijing. Computers and Geosciences, 35(7), 1517–
    • McCord, P., Tonini, F., & Liu, J. (2018). The Telecoupling GeoApp: A Web-GIS application to systematically analyze telecouplings and sustainable development. Applied Geography, 96, 16-28.
    • Mu, L., & Wang, F. (2008). A scale-space clustering method: Mitigating the effect of scale in the analysis of zone-based data. Annals of the Association of American Geographers, 98(1), 85-101.
    • Oliveira, T. H. M. de, Painho, M., Santos, V., Sian, O., & Barriguinha, A. (2014). Development of an Agricultural Management Information System based on Open-source Solutions. Procedia Technology, 16, 342–354.
    • Roy, P., & Mandal, J. K. (2012). A novel spatial fuzzy clustering using delaunay triangulation for large scale gis data (nsfcdt). Procedia Technology, 6, 452-459.
    • Sánchez-Aparicio, L. J., Masciotta, M. G., García-Alvarez, J., Ramos, L. F., Oliveira, D. V., Martín-Jiménez, J. A., ... & Monteiro, P. (2020). Web-GIS approach to preventive conservation of heritage buildings. Automation in Construction, 118, 103304.
    • Sciortino, R., Micale, R., Enea, M., & La Scalia, G. (2016). A webGIS-based system for real time shelf life prediction. Computers and Electronics in Agriculture 127, 451–459. https://doi.org/10.1016/j.compag.2016.07.004
    • Srivastava, A., Bartol, K. M., & Locke, E. A. (2006). Empowering leadership in management teams: Effects on knowledge sharing, efficacy, and performance. Academy of management journal, 49(6), 1239-1251.
    • Tilkov, S., & Vinoski, S. (2010). Node. js: Using JavaScript to build high-performance network programs. IEEE Internet Computing, 14(6), 80-83.
    • Tommiska, M., & Skyttä, J. (2001, August). Dijkstra’s shortest path routing algorithm in reconfigurable hardware. In International Conference on Field Programmable Logic and Applications(pp. 653-657). Springer, Berlin, Heidelberg.
    • Wade, T. G., Wickham, J. D., Nash, M. S., Neale, A. C., Riitters, K. H., & Jones, K. B. (2003). A comparison of vector and raster GIS methods for calculating landscape metrics used in environmental assessments. Photogrammetric Engineering & Remote Sensing, 69(12), 1399-1405.
    • Xiaolin, L. (2006). Develop Web GIS based intelligent transportation application systems with Web service technology. ITST 2006 - 2006 6th International Conference on ITS Telecommunications, Proceedings, 159–162.
    • Yan, X., & Wang, Y. (2011). Development of Zaozhuang Tourism Information System Based on WebGIS. Energy Procedia, 13(6), 10289–10294.
    • Yang, C., Wong, D. W., Yang, R., Kafatos, M., & Li, Q. (2005). Performance-improving techniques in web-based GIS. International Journal of Geographical Information Science, 19(3), 319–342.
    • Ye, J., Chen, B., Liu, Q., & Fang, Y. (2013). A precision agriculture management system based on Internet of Things and WebGIS. International Conferenceon Geoinformatics, (2011).

    Yu, Z., Liang, R., Wang, Y., & Song, X. (2011). The research on landslide disaster information publishing system based on WebGIS. Energy Procedia, 16(PART B), 1199–1205. https://doi.org/10.1016/j.egypro.2012.01.191.

Files

Share

How to cite

Statistics