SenseWeb: An Infrastructure for Shared Sensing

By Aman Kansal, Suman Nath, Jie Liu, Feng Zhao. IEEE Multimedia, 2007

391 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/28ceaea4d7f4afbb612fb74c4257161894f82492

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Computer Science Applications

In Computer Vision and Pattern Recognition

Citations in the corpus

New Generation Sensor Web Enablement (2011, background): “Instances of such systems are SensorMap with its underlying SenseWeb infrastructure [37], SensorBase [38], Pachube (http://www.”
sMAP: a simple measurement and actuation profile for physical information (2010, background): “Web Services hold the potential to enable the integration of diverse sources of physical information, as do diverse conventional sources [1, 17, 29].”
Towards the Web of Things: Web Mashups for Embedded Devices (2009, background): “SenseWeb project [5] is a platform for people to share their sensory readings using Web services to transmit data on a central server.”
The Web of Things: A Survey (Invited Paper) (2011, methodology): “SenseWeb [43] , [44] is developed at Microsoft Research .”
Urban sensing systems: opportunistic or participatory? (2008, background): “Work from [12] is based on ad hoc interactions with cell phones; the focus is on back end concerns such as the correct programmability abstractions, sensor selection and appropriate resource usage (i.”
A survey on privacy in mobile participatory sensing applications (2011, background): “They can define groups [41, 8, 22], select persons individually [11, 25, 8, 22] or authorize everyone [8].”
Micro-Blog: sharing and querying content through mobile phones and social participation (2008, methodology): “The microblogs are then positioned on a spatial platform, such as Google Maps or Microsoft SensorMap [10].”
Mobile Crowd Sensing and Computing (2015, methodology): “It provides a standard approach (e.g., the web service techniques used in the SenseWeb [Kansal et al. 2007]) to facilitate data collection from various crowdsensing sources; that is, sensor gateways serve all the top-level components (e.g., data processing and applications) by supplying a uniﬁed…”
The Rise of People-Centric Sensing (2008, positive): “SenseWeb [5], a project sponsored by Microsoft Research, provides shared sensing resources and sensor querying and data collection mechanisms to develop sensing applications.”