{"id":2127,"date":"2023-04-05T19:00:57","date_gmt":"2023-04-05T19:00:57","guid":{"rendered":"https:\/\/dev.hypersense-software.com\/blog\/?p=2127"},"modified":"2024-09-18T16:57:56","modified_gmt":"2024-09-18T13:57:56","slug":"low-power-continuous-location-tracking-app","status":"publish","type":"post","link":"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/","title":{"rendered":"Low Power Location Tracking App Development Tips"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#1_Properly_define_what_real-time_means\" >1. Properly define what real-time means<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#2_Write_your_own_code_for_location_tracking_handling_and_server_communication\" >2. Write your own code for location tracking handling and server communication<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#3_Understand_how_the_location_hardware_works_Let_the_hardware_power_off\" >3. Understand how the location hardware works. Let the hardware power off.<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#4_Understand_how_the_network_related_hardware_works\" >4. Understand how the network related hardware works<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#5_Implement_a_stationary_mode_detection_algorithm_and_refresh_the_location_at_longer_time_intervals\" >5. Implement a stationary mode detection algorithm and refresh the location at longer time intervals<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#6_Define_the_target_accuracy_for_the_location_tracking\" >6. Define the target accuracy for the location tracking<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#7_Use_simple_server_communication_protocols\" >7. Use simple server communication protocols<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#8_Disk_writes_are_battery_consumers_as_well\" >8. Disk writes are battery consumers as well<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#9_Make_sure_3rd_party_frameworks_comply_to_your_location_and_network_access_patterns_Dont_trust_them_use_the_debugger_to_make_sure_they_comply\" >9. Make sure 3rd party frameworks comply to your location and network access patterns. Don\u2019t trust them, use the debugger to make sure they comply.<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/hypersense-software.com\/blog\/2023\/04\/05\/low-power-continuous-location-tracking-app\/#10_Make_use_of_silent_push_notifications_to_wake_the_mobile_application\" >10. Make use of silent push notifications to wake the mobile application<\/a><\/li><\/ul><\/nav><\/div>\n\n<p>A few years ago, HyperSense was tasked with creating a user security and SOS app for iOS and Android. This app needed to enable users to continuously transmit their location through an end-to-end encrypted channel to web-hosted servers. Security personnel would monitor all users, and in case of an emergency, they could dispatch assistance to the user&#8217;s location promptly.<\/p>\n\n\n\n<p>The location tracking mobile app we developed boasted the following features:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Near real-time location tracking<\/li>\n\n\n\n<li>SOS\/panic button with covert gesture activation, eliminating the need to open the app<\/li>\n\n\n\n<li>End-to-end encrypted chat<\/li>\n\n\n\n<li>Secure communication between the handheld device and the server<\/li>\n\n\n\n<li>Audio recording and streaming during SOS mode<\/li>\n\n\n\n<li>Geo-fencing capabilities<\/li>\n\n\n\n<li>SMS and email notifications<\/li>\n<\/ul>\n\n\n\n<p>For more details about the application, visit our Portfolio.<\/p>\n\n\n<div class=\"post-cta\"><div><div><p class=\"blog-cta-title\">Customized Mobile Apps to Elevate Your Business<\/p><p>Building Mobile Apps that Bridge Your Business with Your Audience<\/p><a href=\"https:\/\/hypersense-software.com\/services\/mobile-app-development\">Explore Mobile App Development<\/a><\/div><\/div><\/div>\n\n\n\n<p>One critical feature we had to deliver was low energy consumption, as users would avoid using the app if it drained their batteries. We achieved an impressive result: an average of 0.3% battery consumption per hour while continuously tracking the user with high accuracy (approximately 80 meters).<\/p>\n\n\n\n<p>Though the algorithm is part of HyperSense&#8217;s intellectual property, we want to share several essential aspects to consider when developing a location tracking mobile app. With over 5,000 development hours and 10,000 kilometers of test driving, we refined our algorithm. We hope these insights will help others develop similar applications more efficiently.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/hypersense-software.com\/blogs-assets\/mobile_tracking_app_diagram_algorithm-1024x512.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1-properly-define-what-real-time-means\"><span class=\"ez-toc-section\" id=\"1_Properly_define_what_real-time_means\"><\/span><strong>1. Properly define what real-time means<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Even though the term \u201creal-time\u201d is often used, it doesn\u2019t actually mean real-time, but rather regular updates at specific time intervals. This should be a general consideration in any software development process: specificity. For our algorithm, we updated the user\u2019s location every 180 seconds when moving and 900 second when stationary. This was more than enough to cover our two goals: continuous tracking and low power consumption.<\/p>\n\n\n<div class=\"post-cta\"><div><div><p class=\"blog-cta-title\">Experience the Power of Custom Software Development<\/p><p>Transformative Software Solutions for Your Business Needs<\/p><a href=\"https:\/\/hypersense-software.com\/services\/custom-software-development\">Explore Custom Software<\/a><\/div><\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2-write-your-own-code-for-location-tracking-handling-and-server-communication\"><span class=\"ez-toc-section\" id=\"2_Write_your_own_code_for_location_tracking_handling_and_server_communication\"><\/span><strong>2. Write your own code for location tracking handling and server communication<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>When dealing with very specific requirements and performance expectations, don\u2019t rely on 3rd party code even if it\u2019s highly used. We\u2019ve seen reputable 3rd party code behave in unexpected ways or have improperly documented small issues. There is another common issue that 3rd party software is not extremely comfortable with: changing specs. Our recommendation is to rely on your own experience, do proper research and write your own code.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-3-understand-how-the-location-hardware-works-let-the-hardware-power-off\"><span class=\"ez-toc-section\" id=\"3_Understand_how_the_location_hardware_works_Let_the_hardware_power_off\"><\/span><strong>3. Understand how the location hardware works. Let the hardware power off.<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>At first, when we started to work on the location tracking module, we polled the location every 30 seconds. Everything worked as a charm, but during tests we saw high power consumption from the GPS\/location tracking related hardware. After a few more tests, we discovered that the location tracking related hardware was kept powered ON 30 seconds after we stopped using it. Considering that we polled the location every 30 seconds, the location related hardware was kept continuously ON, draining the battery as if we were using it continuously. Our advice is to implement an algorithm that allows the location tracking hardware to power off for a while, thus reducing overall battery consumption.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-4-understand-how-the-network-related-hardware-works\"><span class=\"ez-toc-section\" id=\"4_Understand_how_the_network_related_hardware_works\"><\/span><strong>4. Understand how the network related hardware works<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>We encountered the same issue as in the location tracking hardware, with the network one. Mainly, it was an issue with the cellular data related hardware, that would remain powered ON for a while after we stopped using it. To reach our goals, we used in-memory caching and synchronizations with the server at specific time intervals.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-5-implement-a-stationary-mode-detection-algorithm-and-refresh-the-location-at-longer-time-intervals\"><span class=\"ez-toc-section\" id=\"5_Implement_a_stationary_mode_detection_algorithm_and_refresh_the_location_at_longer_time_intervals\"><\/span><strong>5. Implement a stationary mode detection algorithm and refresh the location at longer time intervals<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Considering our specific goals, we decided that tracking the user while stationary at longer time intervals would help lower the battery consumption even more. Therefore, we used the motion detection hardware to establish whether the user is moving or not. When the user was stationary, we only tracked his location every 900 seconds. This implementation was supported by the fact that most of the users were stationary most of the day.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-6-define-the-target-accuracy-for-the-location-tracking\"><span class=\"ez-toc-section\" id=\"6_Define_the_target_accuracy_for_the_location_tracking\"><\/span><strong>6. Define the target accuracy for the location tracking<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>At first, we tried to rely on cell tower and WiFi location tracking, but it didn\u2019t provide the needed accuracy (the target accuracy was 100 meters). There was also another issue to consider, the fact that some users would use the application in remote areas where WiFi coverage is low or non-existent. Setting a threshold for the location accuracy was required by both the ability to accurately locate the user and reduce the battery consumption (when the app gets a location that complies to this requirement the location polling is stopped).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-7-use-simple-server-communication-protocols\"><span class=\"ez-toc-section\" id=\"7_Use_simple_server_communication_protocols\"><\/span><strong>7. Use simple server communication protocols<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Don\u2019t rely on standard HTTP communication with the online services, as HTTP brings a lot of overhead. We tested both custom socket implementations and&nbsp;<a href=\"https:\/\/www.amqp.org\/\" rel=\"noreferrer noopener\" target=\"_blank\">AMQP<\/a>. We ended up using AMQP when needed, as it provided less battery consumption compared to the custom socket implementation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-8-disk-writes-are-battery-consumers-as-well\"><span class=\"ez-toc-section\" id=\"8_Disk_writes_are_battery_consumers_as_well\"><\/span><strong>8. Disk writes are battery consumers as well<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Unexpectedly, disk writes were another issue to overcome in our endeavour to reach 0.3% battery consumption per hour, while continuously tracking the user. In our tests, in-memory caching provided the best results.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-9-make-sure-3rd-party-frameworks-comply-to-your-location-and-network-access-patterns-don-t-trust-them-use-the-debugger-to-make-sure-they-comply\"><span class=\"ez-toc-section\" id=\"9_Make_sure_3rd_party_frameworks_comply_to_your_location_and_network_access_patterns_Dont_trust_them_use_the_debugger_to_make_sure_they_comply\"><\/span><strong>9. Make sure 3rd party frameworks comply to your location and network access patterns. Don\u2019t trust them, use the debugger to make sure they comply.<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>When you must use 3rd party frameworks, properly test them against your standards. In our case, we had to use Google Analytics, and it caused a significant increase of battery consumption due to both network and disk usage on both iOS and Android. We ended up developing our own custom analytics solution that complied with our own network and disk usage policies.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-10-make-use-of-silent-push-notifications-to-wake-the-mobile-application\"><span class=\"ez-toc-section\" id=\"10_Make_use_of_silent_push_notifications_to_wake_the_mobile_application\"><\/span><strong>10. Make use of silent push notifications to wake the mobile application<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>This issue refers mostly to iOS and it doesn\u2019t allow applications to continuously run in the background.&nbsp;Whenever the server detected that a mobile device was late with the location updates, a silent push notifications was sent to wake up the device. For similar situations, you can also make use of the significant location change functionality available on iOS.<\/p>\n\n\n<div class=\"post-cta\"><div><div><p class=\"blog-cta-title\">Advanced R&D Solutions Tailored for Your Business Growth<\/p><p>Innovation Is at the Core of Every Product Through R&D-Focused Software Development<\/p><a href=\"https:\/\/hypersense-software.com\/services\/research-development\">Learn About R&D Services<\/a><\/div><\/div><\/div>\n\n\n\n<p>If you have any questions, or if you would like to develop a location tracking mobile app, please&nbsp;<a href=\"https:\/\/hypersense-software.com\/contact\" rel=\"noreferrer noopener\" target=\"_blank\">Contact Us<\/a>.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn essential tips for developing low power, continuous location tracking mobile apps, from optimizing hardware usage to implementing efficient server communication protocols.<\/p>\n","protected":false},"author":2,"featured_media":2128,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[22,215,216],"tags":[],"class_list":["post-2127","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-studies-whitepapers","category-custom-software-development","category-mobile-app-development"],"featured_image_src":"https:\/\/hypersense-software.com\/blog\/wp-content\/uploads\/2023\/04\/key-points-location-tracking-app.jpg","author_info":{"display_name":"Andrei Neacsu","author_link":"https:\/\/hypersense-software.com\/blog\/author\/andrei-neacsu\/"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.7 (Yoast SEO v26.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Low Power Location Tracking App Development Tips | HyperSense 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