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• W189668218 abstract "Since users move around based on social relationships and interests, their movement patterns represent how nodes are socially connected (i.e., nodes with strong social ties, nodes that meet occasionally by sharing the same working environment). This means that social interactions reflect personal relationships (e.g., family, friends, co-workers, and passers-by) that may be translated into statistical contact opportunities within and between social groups over time. Such contact opportunities may be exploited to ensure good data dissemination and retrieval, even in the presence of intermittent connectivity. Thus, in the last years, a new routing trend based on social similarity emerged where social relationships, interests, popularity, and among other social characteristics are used to improve opportunistic routing (i.e., routing able to take advantage on intermittent contacts). In this chapter, the reader will learn about the different approaches related to opportunistic routing, focusing on social-aware approaches, and how such approaches make use of social information derived from opportunistic contacts to improve data forwarding. Additionally, a brief overview on the existing taxonomies for opportunistic routing as well as a new one, based on the new social trend, are provided along with a set of experiments in scenarios based on synthetic mobility models and human traces to show the potential of social-aware solutions." @default.
• W189668218 created "2016-06-24" @default.
• W189668218 creator A5016148029 @default.
• W189668218 creator A5079456114 @default.
• W189668218 date "2013-01-01" @default.
• W189668218 modified "2023-10-15" @default.
• W189668218 title "Social-Aware Opportunistic Routing: The New Trend" @default.
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• W189668218 doi "https://doi.org/10.1007/978-1-4614-3514-3_2" @default.
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