Incollection,
Behavior-Aware Mobile Social Networking
The Art of Wireless Sensor Networks, Springer Berlin Heidelberg, (2014)
DOI: 10.1007/978-3-642-40066-7_17
Abstract
The next frontier in sensor networks is sensing the human society. Human interaction, with technology and within mobile communities provides enormous opportunities to provide new paradigms of user communication. Traditionally, communication in computer networks has focused on delivering messages to machine identities. Each host is uniquely addressed, and network protocols aim to find routes to a given machine identity efficiently. While this framework has been proven successful in the past, it is questionable whether it will be sufficient in the era of social networking and mobility. As we envision the emergence of mobile terminals tightly coupled with their users and thus reflect the behavior and preferences of the users, it is beneficial to consider an alternative (and complementary) framework: Could user behavior be collected and summarized as a representation of the user’s interest, and be leveraged as a way to guide message delivery? In this chapter, we elaborate on this possibility, discussing user behavior trace collection, representation, and pioneering works on behavior-aware mobile network protocols.
