BLIG: A New Approach for Sensor Identification, Grouping, and Authorisation in Body Sensor Networks. Andersen, J. & Bardram, J. Volume 13. BLIG: A New Approach for Sensor Identification, Grouping, and Authorisation in Body Sensor Networks, pages 223-229. Springer Berlin Heidelberg, 3, 2007. ![BLIG: A New Approach for Sensor Identification, Grouping, and Authorisation in Body Sensor Networks [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex Using body sensor networks (BSN) in critical clinical settings like emergency units in hospitals or in accidents requires that such a network can be deployed, configured, and started in a fast and easy way, while maintaining trust in the network. In this paper we present a novel approach called BLIG (Blinking Led Indicated Grouping) for easy deployment of BSNs on patients in critical situations, including mechanisms for uniquely identifying and grouping sensor nodes belonging to a patient in a secure and trusted way. This approach has been designed in close cooperation with users, and easy deployment and ease of use are top priorities. We present an initial implementation and evaluation of the presented technology.
@inBook{
title = {BLIG: A New Approach for Sensor Identification, Grouping, and Authorisation in Body Sensor Networks},
type = {inBook},
year = {2007},
identifiers = {[object Object]},
keywords = {ban,clinical-setting,sensor-identification,to-read},
pages = {223-229},
volume = {13},
websites = {http://dx.doi.org/10.1007/978-3-540-70994-7_38},
month = {3},
publisher = {Springer Berlin Heidelberg},
city = {Berlin, Heidelberg},
series = {IFMBE Proceedings},
chapter = {38},
editors = {[object Object],[object Object],[object Object]},
id = {859fba7c-36ec-3359-ad85-50414a6151e7},
created = {2018-07-12T21:32:20.982Z},
file_attached = {false},
profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},
group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},
last_modified = {2018-07-12T21:32:20.982Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {andersen:blig},
source_type = {incollection},
private_publication = {false},
abstract = {Using body sensor networks (BSN) in critical clinical settings like emergency units in hospitals or in accidents requires that such a network can be deployed, configured, and started in a fast and easy way, while maintaining trust in the network. In this paper we present a novel approach called BLIG (Blinking Led Indicated Grouping) for easy deployment of BSNs on patients in critical situations, including mechanisms for uniquely identifying and grouping sensor nodes belonging to a patient in a secure and trusted way. This approach has been designed in close cooperation with users, and easy deployment and ease of use are top priorities. We present an initial implementation and evaluation of the presented technology.},
bibtype = {inBook},
author = {Andersen, Jacob and Bardram, Jakob},
book = {4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007)}
}
Downloads: 0
{"_id":"58ncT4ZZ4B32S2bMu","bibbaseid":"andersen-bardram-bliganewapproachforsensoridentificationgroupingandauthorisationinbodysensornetworks-2007","downloads":0,"creationDate":"2019-02-15T15:15:01.373Z","title":"BLIG: A New Approach for Sensor Identification, Grouping, and Authorisation in Body Sensor Networks","author_short":["Andersen, J.","Bardram, J."],"year":2007,"bibtype":"inBook","biburl":null,"bibdata":{"title":"BLIG: A New Approach for Sensor Identification, Grouping, and Authorisation in Body Sensor Networks","type":"inBook","year":"2007","identifiers":"[object Object]","keywords":"ban,clinical-setting,sensor-identification,to-read","pages":"223-229","volume":"13","websites":"http://dx.doi.org/10.1007/978-3-540-70994-7_38","month":"3","publisher":"Springer Berlin Heidelberg","city":"Berlin, Heidelberg","series":"IFMBE Proceedings","chapter":"38","editors":"[object Object],[object Object],[object Object]","id":"859fba7c-36ec-3359-ad85-50414a6151e7","created":"2018-07-12T21:32:20.982Z","file_attached":false,"profile_id":"f954d000-ce94-3da6-bd26-b983145a920f","group_id":"b0b145a3-980e-3ad7-a16f-c93918c606ed","last_modified":"2018-07-12T21:32:20.982Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"andersen:blig","source_type":"incollection","private_publication":false,"abstract":"Using body sensor networks (BSN) in critical clinical settings like emergency units in hospitals or in accidents requires that such a network can be deployed, configured, and started in a fast and easy way, while maintaining trust in the network. In this paper we present a novel approach called BLIG (Blinking Led Indicated Grouping) for easy deployment of BSNs on patients in critical situations, including mechanisms for uniquely identifying and grouping sensor nodes belonging to a patient in a secure and trusted way. This approach has been designed in close cooperation with users, and easy deployment and ease of use are top priorities. We present an initial implementation and evaluation of the presented technology.","bibtype":"inBook","author":"Andersen, Jacob and Bardram, Jakob","book":"4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007)","bibtex":"@inBook{\n title = {BLIG: A New Approach for Sensor Identification, Grouping, and Authorisation in Body Sensor Networks},\n type = {inBook},\n year = {2007},\n identifiers = {[object Object]},\n keywords = {ban,clinical-setting,sensor-identification,to-read},\n pages = {223-229},\n volume = {13},\n websites = {http://dx.doi.org/10.1007/978-3-540-70994-7_38},\n month = {3},\n publisher = {Springer Berlin Heidelberg},\n city = {Berlin, Heidelberg},\n series = {IFMBE Proceedings},\n chapter = {38},\n editors = {[object Object],[object Object],[object Object]},\n id = {859fba7c-36ec-3359-ad85-50414a6151e7},\n created = {2018-07-12T21:32:20.982Z},\n file_attached = {false},\n profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},\n group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},\n last_modified = {2018-07-12T21:32:20.982Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {andersen:blig},\n source_type = {incollection},\n private_publication = {false},\n abstract = {Using body sensor networks (BSN) in critical clinical settings like emergency units in hospitals or in accidents requires that such a network can be deployed, configured, and started in a fast and easy way, while maintaining trust in the network. In this paper we present a novel approach called BLIG (Blinking Led Indicated Grouping) for easy deployment of BSNs on patients in critical situations, including mechanisms for uniquely identifying and grouping sensor nodes belonging to a patient in a secure and trusted way. This approach has been designed in close cooperation with users, and easy deployment and ease of use are top priorities. We present an initial implementation and evaluation of the presented technology.},\n bibtype = {inBook},\n author = {Andersen, Jacob and Bardram, Jakob},\n book = {4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007)}\n}","author_short":["Andersen, J.","Bardram, J."],"urls":{"Website":"http://dx.doi.org/10.1007/978-3-540-70994-7_38"},"bibbaseid":"andersen-bardram-bliganewapproachforsensoridentificationgroupingandauthorisationinbodysensornetworks-2007","role":"author","keyword":["ban","clinical-setting","sensor-identification","to-read"],"downloads":0},"search_terms":["blig","new","approach","sensor","identification","grouping","authorisation","body","sensor","networks","andersen","bardram"],"keywords":["ban","clinical-setting","sensor-identification","to-read"],"authorIDs":[]}