Cluster Head Selection for Target Tracking

Autor:	José Ramiro Martínez-de Dios, Alberto de San Bernabé-Clemente, Anibal Ollero, Arturo Torres-González
Rok vydání:	2017
Předmět:	ComputingMethodologies_PATTERNRECOGNITION Computer science Head (linguistics) business.industry Node (networking) Cluster (physics) Computer vision Artificial intelligence Tracking (particle physics) business Selection (genetic algorithm)
Zdroj:	SpringerBriefs in Electrical and Computer Engineering ISBN: 9783662547595
DOI:	10.1007/978-3-662-54761-8_5
Popis:	The performance of cluster-based target tracking highly depends on which node acts as cluster head. This chapter deals with cluster head selection. The objective is to improve tracking performance selecting which of the nodes in the cluster is the most suitable to perform the cluster head role.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8b7382fbe8453e65fb6413994a79f98c https://doi.org/10.1007/978-3-662-54761-8_5 Zobrazit plný text záznamu