Dynamic Signal Strength Mapping and Analysis by Means of Mobile Geographic Information System

Journal title

Metrology and Measurement Systems




vol. 24


No 4



beacon ; mapping ; GIS ; geovisual analytics

Divisions of PAS

Nauki Techniczne




Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation




Artykuły / Articles


DOI: 10.1515/mms-2017-0057 ; ISSN 2080-9050, e-ISSN 2300-1941


Metrology and Measurement Systems; 2017; vol. 24; No 4; 595–606


Moszynski (null), Innovative Web - Based Geographic Information System for Municipal Areas and Coastal Zone Security and Threat Monitoring Using EO Satellite Data, Marine Geodesy, 15, 2015. ; Eddystone (2016), protocol specification https github com google eddystone blob master protocolspecification md Nov, null, 23. ; Yin (2008), Learning adaptive temporal radio maps for signal - strength - based location estimation on, IEEE Transactions Mobile Computing, 869. ; Kerry (1998), interpolation on high - performance computers International Conference on High - Performance Computing and, Networking, 11, 429. ; Ye (2016), Developing a mobile GIS - based component tocollect field data Fifth International Conference on Agro, null, 13, 1. ; Mackensen (2012), Performance analysis of an Bluetooth Low Energy sensor system st International Symposium on Wireless Systems Offenburg, IEEE, 20, 1. ; Connelly (2005), toolkit for automatically constructing outdoor radio maps International Conference on Information Technology Coding Volume II, Computing, 248. ; Tobler (1970), computer movie simulating urban growth in the Detroit region, Economic Geography, 29, 234. ; (2017), www geonet ch, null, 30. ; Shepard (1968), two - dimensional interpolation function for irregularly - spaced data of the rd ACM national conference, Proc, 23, 517. ; (2014), Bluetooth Special Interest Group Specification of the Bluetooth System version https www bluetooth org DocMan handlers DownloadDoc ashx doc id Nov, null, 17, 286439. ; Kulawiak (2016), Operational algae bloom detection in the Baltic Sea using GIS and data, Baltica, 25, 3. ; Kulawiak (2017), Application of Web - GIS for Dissemination and Visualization of Large - Volume LiDAR Data The Rise of Big Spatial Data Springer International Publishing, null, 16, 1. ; Reed (2004), Spatial interpolation methods for nonstationary plume data, Ground Water, 31, 190. ; Cisco (2014), iBeacon Frequently Asked Questions http www cisco com c dam en us solutions collateral enterprise networks connected mobile experiences ibeacon faq pdf Nov, null, 22. ; Biaz (2006), ARIADNE : a dynamic indoor signal map construction and localization system of the th international conference on Mobile systems applications and services, Proc, 151. ; (2014), Getting Started with iBeacon Apple Inc https developer apple com ibeacon Getting Started ithiBeacon pdf Nov, null, 21. ; Liu (2009), Non - interactive localization of cognitive radios based on dynamic signal strength mapping Sixth International Conference on Wireless On - Demand Network Systems and Services, null, 1. ; Wielgosz (2003), Regional ionosphere mapping with kriging and multiquadric of Global Positioning Systems, methods Journal, 1. ; Murphy (2009), Comparison of spatial interpolation methods for wate quality evaluation in the Chesapeake Bay of Environmental, Journal Engineering, 12, 136. ; Townsend (2014), Getting started with Bluetooth low tools and techniques for low - power networking Media, energy, 19. ; Moraes (2006), de Calibration - free WLAN location system based on dynamic mapping of signal strength of the th ACM international workshop on Mobility management and wireless access, Proc, 92. ; Moszynski (2013), novel method for archiving multibeam sonar data with emphasis on efficient record size reduction and storage, Polish Maritime Research, 24, 77. ; Han (null), Mobile Data Acquisition and Management System Design Based on GIS Metallurgical and Mining Industry, null, 14, 2015. ; (2017), openlayers org, null, 27. ; Gomez (2012), Overview and evaluation of Bluetooth low An emerging low - power wireless technology, energy Sensors, 18, 11734. ; (2017), www convertigo com, null, 26. ; Murphy (2009), Comparison of spatial interpolation methods for waterquality evaluation in the Chesapeake Bay of Environmental, Journal Engineering, 136.

Open Access Policy

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