Aim of the Monograph

Due to the emerging network applications and various demands from users, the modeling and optimization are needed to study. However, the existing research studies on the modeling and optimization in MSNs are limited, where the aforementioned unique features of MSNs should be taken into consideration. A deep study of modeling and optimization in MSNs will shed light not only to the design and implementation of optimal protocols for users, but also to some important economics issues, such as how to provide users with a satisfied service to reap profits from the view of content provider.

The aim of this monograph is to investigate how to model and optimize MSNs considering the unique features and different scenarios in MSNs. The modeling with optimization can be used to maximize a certain output in MSNs such as the efficiency of information dissemination, the cooperation degree of social users, the success of relay service, the profit of resource allocation, and the network architecture. Specifically, we try to answer the following research questions: (a) modeling and optimization for epidemic information dissemination in MSNs; (b) modeling and optimization for selfishness-aware incentive mechanism in MSNs; (c) optimal relay services in MSNs; (d) modeling and optimization for cloud resource allocation in MSNs; and (e) modeling and optimization for heterogeneous network architecture in MSNs. To answer these questions, in this monograph, we develop the corresponding models and optimizations considering the characteristics of MSNs. Based on the investigations on the above issues, it can help us elaborate the insights and implications to design and implement the future MSNs.

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