Micro-Blog: sharing and querying content through mobile phones and social participation

By Shravan Gaonkar, Jack Li, Romit Roy Choudhury, Landon P. Cox, A. Schmidt. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2008

491 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Science Applications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/bdfcc7eb44f13702337e4ffbbb534fe7beab19bb

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Citations in the corpus

A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, background): “Other applications are not so tolerant, but still do not require strict constraints, such as mobile social networks [59], [60], [148]– [151], [153], health care [17], [19], price comparison [129], reporting info about environment [119], sounds [164], conferences [165], or sharing and recommending tr”
Mobile Phone Sensing Systems: A Survey (2013, background): “MicroBlog [43] Nokia N95 Carbide C++ Symian OS, C++, PHP 5, Ajax, MySQl, Apache 2.”
The BikeNet mobile sensing system for cyclist experience mapping (2007, result): “2008a] with the Nokia N95 is in line with that of other researchers [Gaonkar et al. 2008] and those in the blogosphere where the lifetime of the standard battery shrinks from approximately 3 days to less than 7 hours when the GPS receiver is left on continuously.”
SurroundSense: mobile phone localization via ambience fingerprinting (2009, methodology): “SurroundSense: Mobile Phone Localization via Ambience Fingerprinting Martin AzizyanIonut Constandache Romit Roy ChoudhuryDuke University Duke University Duke University Durham, NC, USADurham, NC, USADurham, NC, USAmartin.azizyan@duke.edu ionut@cs.duke.edu romit@ee.duke.edu ABSTRACT A growing numbe”
Toward physical activity diary: motion recognition using simple acceleration features with mobile phones (2009, background): “The other possible application is human-centric sensing and sharing in mobile social networks, such as microblogging service discussed in [6] that mobile devices to record content from sensors and share this content in a real-time.”
Energy-accuracy trade-off for continuous mobile device location (2010, methodology): “In Microblog [6, 8], methods to reduce GPS use by predicting the user’s path were presented.”
Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application (2008, background): “A microblogging service is discussed in [8] that uses mobile devices to record multimedia content in-situ and shares this content in”
Data-Driven Intelligent Transportation Systems: A Survey (2011, background): “Assume that each individual phone is a “virtual lens.” A microblog can provide a highresolution view of the world by integrating several short audios, embedded videos, or messages on the fly (i.e., multimedia microblogs) recorded by several active mobile phone users [123], [ 124 ].”
Energy-efficient rate-adaptive GPS-based positioning for smartphones (2010, background): “Hence a common approach is to periodically duty-cycle GPS.”
Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces (2011, background): “In [13], the authors present an adaptive scheme for obtaining phone location by switching between the accurate but energy-expensive GPS probing to energy-eﬃcient but less accurate WiFi/cellular localization.”
Mobile Data Offloading through Opportunistic Communications and Social Participation (2012, methodology): “Micro-Blog [20] is a social participatory sensing application that can enable the sharing and querying of content through mobile phones.”
Towards Mobile Phone Localization without War-Driving (2010, methodology): “Our prior research showed that GPS and WiFi pose a serious tradeoff between localization accuracy and energy [5], [6].”
Improving energy efficiency of location sensing on smartphones (2010, methodology): “Micro-Blog [19] proposes to balance the competing goals of accurate location coordinates and long battery life by infrequently using more accurate, but power-hungry localization services such as WiFi to offset the error introduced by less accurate, but more power-efficient localization services (e.”
Recruitment Framework for Participatory Sensing Data Collections (2010, background): “Identification can rely not only on participants’ reputations as data collectors based contribution habits, but can also be enhanced by incorporating participants’ availability in the area of interest [6,7,8].”
PRISM: platform for remote sensing using smartphones (2010, methodology): “The ﬁrst one is a citizen journalist application, which is inspired by Micro-Blogs [22] and involves participatory sensing, wherein PRISM provides location-based triggers to alert human users to take pictures or provide other information from the scene of interest.”
PathS: Enhancing Geographical Maps with Environmental Sensed Data (2015, background): “A microblogging service is discussed in [13] that uses mobile devices to record multimedia content in-situ and shares this content in real-time.”
A survey on privacy in mobile participatory sensing applications (2011, background): “The key idea behind participatory sensing is to empower ordinary citizens to collect and share sensed data from their surrounding environments using their mobile phones.”
Nericell: rich monitoring of road and traffic conditions using mobile smartphones (2008, background): “Similar costs have been reported for GPS on Nokia N95 phones in [25] (6)Note that a single physical tower could be associated with several tower IDs corresponding to different sectors and frequency channels.”