Mobiscopes extend the traditional sensor network model, introducing challenges in data management and integrity, privacy, and network system design. Researchers need an architecture and general methodology for designing future mobiscopes. A mobiscope is a federation of distributed mobile sensors into a taskable sensing system that achieves high-density sampling coverage over a wide area through mobility.
%0 Journal Article
%1 AbdelzaherAnokwaEtAl07pervasive
%A Abdelzaher, Tarek
%A Anokwa, Yaw
%A Boda, Péter
%A Burke, Jeff
%A Estrin, Deborah
%A Guibas, Leonidas
%A Kansal, Aman
%A Madden, Samuel
%A Reich, Jim
%D 2007
%J Pervasive Computing
%K v1205 ieee paper embedded ai mobile device sensor data processing traffic automotive
%N 2
%P 20-29
%R 10.1109/MPRV.2007.38
%T Mobiscopes for Human Spaces
%V 6
%X Mobiscopes extend the traditional sensor network model, introducing challenges in data management and integrity, privacy, and network system design. Researchers need an architecture and general methodology for designing future mobiscopes. A mobiscope is a federation of distributed mobile sensors into a taskable sensing system that achieves high-density sampling coverage over a wide area through mobility.
@article{AbdelzaherAnokwaEtAl07pervasive,
abstract = {Mobiscopes extend the traditional sensor network model, introducing challenges in data management and integrity, privacy, and network system design. Researchers need an architecture and general methodology for designing future mobiscopes. A mobiscope is a federation of distributed mobile sensors into a taskable sensing system that achieves high-density sampling coverage over a wide area through mobility.},
added-at = {2012-05-30T10:41:57.000+0200},
author = {Abdelzaher, Tarek and Anokwa, Yaw and Boda, P\'{e}ter and Burke, Jeff and Estrin, Deborah and Guibas, Leonidas and Kansal, Aman and Madden, Samuel and Reich, Jim},
biburl = {https://www.bibsonomy.org/bibtex/2ea034c1b9563615362d41de788bef3a5/flint63},
doi = {10.1109/MPRV.2007.38},
file = {IEEE Digital Library:2007/AbdelzaherAnokwaEtAl07pervasive.pdf:PDF},
groups = {public},
interhash = {382015d921698378556ed01f39727ed6},
intrahash = {31a65b0432787ba1c4fa977be3a67c02},
issn = {1536-1268},
journal = {Pervasive Computing},
keywords = {v1205 ieee paper embedded ai mobile device sensor data processing traffic automotive},
number = 2,
pages = {20-29},
timestamp = {2016-05-17T21:42:27.000+0200},
title = {Mobiscopes for Human Spaces},
username = {flint63},
volume = 6,
year = 2007
}