{"id":168718,"date":"2015-09-01T00:00:00","date_gmt":"2015-09-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/low-power-pervasive-wi-fi-connectivity-using-wiscan\/"},"modified":"2018-10-16T20:50:34","modified_gmt":"2018-10-17T03:50:34","slug":"low-power-pervasive-wi-fi-connectivity-using-wiscan","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/low-power-pervasive-wi-fi-connectivity-using-wiscan\/","title":{"rendered":"Low-Power Pervasive Wi-Fi Connectivity Using WiScan"},"content":{"rendered":"
Pervasive Wi-Fi connectivity is attractive for users in places not covered by cellular services (e.g., when traveling abroad). However, the power drain of frequent Wi-Fi scans undermines the device\u2019s battery life, preventing users from staying always connected and fetching synced emails and instant message notifications (e.g.,WhatsApp). We study the energy overhead of scan and roaming in detail and refer to it as the scan tax problem<\/em>. Our findings show that the main processor is the primary culprit of the energy overhead. We propose a simple and effective architectural change of offloading scans to the Wi-Fi radio. We design and build WiScan <\/em>to fully exploit the gain of scan offloading. Our experiments demonstrate that WiScan achieves 90%+ of the maximal connectivity, while saving 50-62% energy for seeking connectivity.<\/p>\n<\/div>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Pervasive Wi-Fi connectivity is attractive for users in places not covered by cellular services (e.g., when traveling abroad). However, the power drain of frequent Wi-Fi scans undermines the device\u2019s battery life, preventing users from staying always connected and fetching synced emails and instant message notifications (e.g.,WhatsApp). We study the energy overhead of scan and roaming […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-168718","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"ACM - Association for Computing Machinery","msr_edition":"International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015)","msr_affiliation":"","msr_published_date":"2015-09-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"204197","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"ubicomp15-wiscan.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/ubicomp15-wiscan.pdf","id":204197,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":204197,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/ubicomp15-wiscan.pdf"}],"msr-author-ordering":[{"type":"text","value":"Tianxing Li","user_id":0,"rest_url":false},{"type":"text","value":"Chuankai An","user_id":0,"rest_url":false},{"type":"user_nicename","value":"ranveer","user_id":33344,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=ranveer"},{"type":"text","value":"Andrew T. Campbell","user_id":0,"rest_url":false},{"type":"text","value":"Xia Zhou","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[171446],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":171446,"post_title":"Battery Research at Microsoft","post_name":"battery-research-at-microsoft","post_type":"msr-project","post_date":"2010-03-19 13:09:57","post_modified":"2023-11-28 09:11:46","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/battery-research-at-microsoft\/","post_excerpt":"Mobile & Internet of Things (IoT) devices, along with other battery operated devices, are energy constrained. While hardware capabilities have increased tremendously over the last ten years, battery energy density has only doubled. In this project we are exploring several techniques to extend the battery life of mobile and IoT devices. 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