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Cenceme - injecting sensing presence into social networking applications
- in EuroSSC, ser. Lecture Notes in Computer Science
, 2007
"... Abstract. We present the design, prototype implementation, and evaluation of CenceMe, a personal sensing system that enables members of social networks to share their sensing presence with their buddies in a secure manner. Sensing presence captures a user’s status in terms of his activity (e.g., sit ..."
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Cited by 44 (10 self)
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Abstract. We present the design, prototype implementation, and evaluation of CenceMe, a personal sensing system that enables members of social networks to share their sensing presence with their buddies in a secure manner. Sensing presence captures a user’s status in terms of his activity (e.g., sitting, walking, meeting friends), disposition (e.g., happy, sad, doing OK), habits (e.g., at the gym, coffee shop today, at work) and surroundings (e.g., noisy, hot, bright, high ozone). CenceMe injects sensing presence into popular social networking applications such as Facebook, MySpace, and IM (Skype, Pidgin) allowing for new levels of “connection ” and implicit communication (albeit non-verbal) between friends in social networks. The CenceMe system is implemented, in part, as a thin-client on a number of standard and sensor-enabled cell phones and offers a number of services, which can be activated on a per-buddy basis to expose different degrees of a user’s sensing presence; these services include, life patterns, my presence, friend feeds, social interaction, significant places, buddy search, buddy beacon, and “above average?” 1
IODetector: A generic service for indoor outdoor detection
- In SenSys’ 12
"... The location and context switching, especially the indoor/outdoor switching, provides essential and primitive information for upper layer mobile applications. In this paper, we present IODetector: a lightweight sensing service which runs on the mobile phone and detects the indoor/outdoor environment ..."
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Cited by 19 (5 self)
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The location and context switching, especially the indoor/outdoor switching, provides essential and primitive information for upper layer mobile applications. In this paper, we present IODetector: a lightweight sensing service which runs on the mobile phone and detects the indoor/outdoor environment in a fast, accurate, and efficient manner. Constrained by the energy budget, IODetector leverages primarily lightweight sensing resources including light sensors, magnetism sensors, celltower signals, etc. For universal applicability, IODetector assumes no prior knowledge (e.g., fingerprints) of the environment and uses only on-board sensors common to mainstream mobile phones. Being a generic and lightweight service component, IODetector greatly benefits many location-based and context-aware applications. We prototype the IODetector on Android mobile phones and evaluate the system comprehensively with data collected from 19 traces which include 84 different places during one month period, employing different phone models. We further perform a case study where we make use of IODetector to instantly infer the GPS availability and localization accuracy in different indoor/outdoor environments.
Techniques for Improving Opportunistic Sensor Networking Performance
"... Abstract. A number of recently proposed mobile sensor network architectures rely on uncontrolled, or weakly-controlled mobility to achieve sensing coverage over time at low cost, an opportunistic sensor networking approach. However, this reliance on mobility also introduces a number of challenges. I ..."
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Cited by 10 (1 self)
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Abstract. A number of recently proposed mobile sensor network architectures rely on uncontrolled, or weakly-controlled mobility to achieve sensing coverage over time at low cost, an opportunistic sensor networking approach. However, this reliance on mobility also introduces a number of challenges. In this paper, we discuss the challenges inherent in this networking paradigm, and describe two composable techniques, sensor sharing and substitution, to make the system more robust in terms of data fidelity and delay. We present a numerical analysis of these techniques, separately and in combination, based on a simple Markov model of an opportunistic sensor network.
People-Centric Mobile Sensing Networks
, 2008
"... This thesis contributes a new system in support of large scale people-centric sensing applications. Over the last decade, wireless sensor networking has developed into ar-guably the most active area in networking research. The state of the art largely follows an application-specific philosophy, wher ..."
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Cited by 9 (1 self)
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This thesis contributes a new system in support of large scale people-centric sensing applications. Over the last decade, wireless sensor networking has developed into ar-guably the most active area in networking research. The state of the art largely follows an application-specific philosophy, where modest numbers of static wirelessly-connected sensor nodes are placed in the target environment in support of a single application. In a properly engineered network, sensor nodes are well-equipped and well-positioned to best provide the connectivity and sensing required by the application. Such networks are ill-suited, however, to the demands of a new class of applications focused on providing sensor information about people, their daily lives, and their environments. These people-centric applications require the ability to both sample very detailed information on the individual scale, and to provide a view of the urban landscape- a very large scale challenge. A new approach is required. Therefore, we propose the novel MetroSense architecture in support of people-centric sensing. While incorporating static infrastructure elements, to get large scale sensing cover-age the architecture primarily makes use of devices with embedded sensors, such as mobile
IODetector: A Generic Service for Indoor/Outdoor Detection
"... The location and context switching, especially the indoor/outdoor switching, provides essential and primi-tive information for upper-layer mobile applications. In this article, we present IODetector: a lightweight sensing service that runs on the mobile phone and detects the indoor/outdoor environme ..."
Abstract
- Add to MetaCart
(Show Context)
The location and context switching, especially the indoor/outdoor switching, provides essential and primi-tive information for upper-layer mobile applications. In this article, we present IODetector: a lightweight sensing service that runs on the mobile phone and detects the indoor/outdoor environment in a fast, accu-rate, and efficient manner. Constrained by the energy budget, IODetector primarily leverages lightweight sensing resources, such as light sensors, magnetism sensors, and cell tower signals. For universal applica-bility, IODetector assumes no prior knowledge (e.g., fingerprints) of the environment and uses only on-board sensors common to mainstream mobile phones. Being a generic and lightweight service component, IODe-tector greatly benefits many location-based and context-aware applications. We prototype the IODetector on Android mobile phones and evaluate the system comprehensively with data collected from 34 traces that include 133 different places during a 6-week period, employing different phone models. We further perform a case study where we make use of IODetector to instantly infer the GPS availability and localization accuracy in different indoor/outdoor environments.
