作者: Waldir Moreira , Paulo Mendes , None
DOI: 10.1007/978-1-4614-3514-3_2
关键词: Interpersonal ties 、 Popularity 、 Artificial intelligence 、 Similarity (psychology) 、 Data science 、 Routing (electronic design automation) 、 Dissemination 、 Computer science 、 Set (psychology) 、 Social group 、 Mobility model
摘要: Since users move around based on social relationships and interests, their movement patterns represent how nodes are socially connected (i.e., with strong ties, that meet occasionally by sharing the same working environment). This means interactions reflect personal (e.g., family, friends, co-workers, passers-by) may be translated into statistical contact opportunities within between groups over time. Such exploited to ensure good data dissemination retrieval, even in presence of intermittent connectivity. Thus, last years, a new routing trend similarity emerged where relationships, popularity, among other characteristics used improve opportunistic able take advantage contacts). In this chapter, reader will learn about different approaches related routing, focusing social-aware approaches, such make use information derived from contacts forwarding. Additionally, brief overview existing taxonomies for as well one, trend, provided along set experiments scenarios synthetic mobility models human traces show potential solutions.