Scallop : An open peer-to-peer framework for distributed sensor networks

Autor:	Sami Huttunen, P. Saastamoinen, Marko Heikkilä, Valtteri Takala, Janne Heikkilä
Rok vydání:	2008
Předmět:	Wireless ad hoc network Visual sensor network business.industry Computer science Machine vision Distributed computing Peer-to-peer computer.software_genre Software framework Intelligent sensor Smart camera business computer Wireless sensor network Computer network
Zdroj:	ICDSC
DOI:	10.1109/icdsc.2008.4635712
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a3d34d1eadc243f1ebc0b12ebe8a7f11 https://doi.org/10.1109/icdsc.2008.4635712 Zobrazit plný text záznamu