{"id":6442,"date":"2021-06-23T08:26:06","date_gmt":"2021-06-23T08:26:06","guid":{"rendered":"https:\/\/www.beaconzone.co.uk\/blog\/?p=6442"},"modified":"2021-06-23T08:26:07","modified_gmt":"2021-06-23T08:26:07","slug":"beacon-placement-optimisation-for-indoor-positioning","status":"publish","type":"post","link":"https:\/\/www.beaconzone.co.uk\/blog\/beacon-placement-optimisation-for-indoor-positioning\/","title":{"rendered":"Beacon Placement Optimisation for Indoor Positioning"},"content":{"rendered":"\n<p>There&#8217;s recent research into <a rel=\"noreferrer noopener\" href=\"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147720979922\" target=\"_blank\">Sensor placement optimization for critical-grid coverage problem of indoor positioning<\/a> (PDF). The paper investigates how to reduce deployment cost by placing more sensors in areas that require higher accuracy rather than using a uniform deployment scheme.<\/p>\n\n\n\n<p>Areas are differentiated as either being &#8216;critical&#8217; or &#8216;common&#8217;. For example, in a railway station, critical areas are elevator entrances, boarding gates, toilets and the service centre. Critical and common areas have different positioning needs leading to different sensor deployment densities.<\/p>\n\n\n\n<p>The paper examines the variation of RSSI with distance and develops a critical-grid coverage model. A NSGA-II algorithm is used to optimise the placement of iBeacon nodes.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"423\" height=\"346\" src=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2021\/06\/ibeaconattenuation.png\" alt=\"\" class=\"wp-image-6443\" srcset=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2021\/06\/ibeaconattenuation.png 423w, https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2021\/06\/ibeaconattenuation-300x245.png 300w\" sizes=\"(max-width: 423px) 85vw, 423px\" \/><\/figure><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"804\" height=\"313\" src=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2021\/06\/critical-gridcoveragemodel-1.png\" alt=\"\" class=\"wp-image-6445\" srcset=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2021\/06\/critical-gridcoveragemodel-1.png 804w, https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2021\/06\/critical-gridcoveragemodel-1-300x117.png 300w, https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2021\/06\/critical-gridcoveragemodel-1-768x299.png 768w\" sizes=\"(max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 984px) 61vw, (max-width: 1362px) 45vw, 600px\" \/><\/figure><\/div>\n\n\n\n<p>The results showed that the new placement scheme obtained a lower error and a greater reduction of sensor deployment cost than the uniform deployment scheme. The proposed method reduced the cost of sensor deployment while ensuring the accuracy of indoor positioning for critical areas.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There&#8217;s recent research into Sensor placement optimization for critical-grid coverage problem of indoor positioning (PDF). The paper investigates how to reduce deployment cost by placing more sensors in areas that require higher accuracy rather than using a uniform deployment scheme. Areas are differentiated as either being &#8216;critical&#8217; or &#8216;common&#8217;. For example, in a railway station, &hellip; <a href=\"https:\/\/www.beaconzone.co.uk\/blog\/beacon-placement-optimisation-for-indoor-positioning\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Beacon Placement Optimisation for Indoor Positioning&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31,32],"tags":[],"_links":{"self":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts\/6442"}],"collection":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/comments?post=6442"}],"version-history":[{"count":5,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts\/6442\/revisions"}],"predecessor-version":[{"id":6461,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts\/6442\/revisions\/6461"}],"wp:attachment":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/media?parent=6442"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/categories?post=6442"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/tags?post=6442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}