DocumentCode
2986013
Title
Scallop : An open peer-to-peer framework for distributed sensor networks
Author
Saastamoinen, Pekka ; Huttunen, Sami ; Takala, Valtteri ; Heikkilä, Marko ; Heikkilä, Janne
Author_Institution
Dept. of Electr. & Inf. Eng., Univ. of Oulu, Oulu
fYear
2008
fDate
7-11 Sept. 2008
Firstpage
1
Lastpage
9
Abstract
Distributed smart cameras and sensors have been an active area of research in recent years. Most of the research has focused on either the machine vision algorithms or on a specific implementation. There has been less activity on building generic frameworks which allow different algorithms, sensors and distribution methods to be used. This paper presents an open and extendable framework for development of distributed sensor networks with an emphasis on peer-to-peer networking. The user is provided with easy access to sensors and communication channels between distributed nodes, allowing the effort to be focused on the development of machine vision algorithms and their use in distributed environments. The framework was used while implementing a simple demonstration system to test the sensor and network functionality. The system contains processing nodes which receive sensor data from cameras and communicate with each other through a peer-to-peer mesh.
Keywords
distributed sensors; image sensors; intelligent sensors; peer-to-peer computing; Scallop; distributed sensor networks; distributed smart cameras; machine vision; open peer-to-peer framework; Centralized control; Communication channels; Communication system control; Intelligent sensors; Machine vision; Network servers; Peer to peer computing; Sensor systems; Smart cameras; Surveillance; Camera networks; distributed smart cameras; peer-to-peer; software frameworks;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Smart Cameras, 2008. ICDSC 2008. Second ACM/IEEE International Conference on
Conference_Location
Stanford, CA
Print_ISBN
978-1-4244-2664-5
Electronic_ISBN
978-1-4244-2665-2
Type
conf
DOI
10.1109/ICDSC.2008.4635712
Filename
4635712
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