Table 11 Opportunistic approaches
From: Content distribution and protocol design issue for mobile social networks: a survey
Publication | Proposed algorithm | Optimization criterion |
|---|---|---|
[96] | Global utility function (social welfare) is defined as a decreasing function of content age, and maximizing this utility provides optimal bandwidth solution for scalable content distribution in the MSN | Finds the optimal bandwidth maximizes the utility function (social welfare) |
[97] | Content distribution policy of a content provider is optimized for maximizing the fresh content in the MSN | Maximizes the number of mobile users having fresh data |
[98] | Uses a coalitional game model to investigate the decision making of the content providers and network operators for optimizing the content distribution | Minimizes the cost of wireless connection for the content provider and maximizing the revenue for network operators |
[99] | A general utility-based framework is proposed for opportunistic networking which exploits the context information about the user’s social behavior to find the appropriate forwarding nodes | A utility is a function of the data object (content) and the cost of resource consumption |
[100] | A social-oriented policy for optimizing content availability using a system called “Content-Place” is proposed | Optimizes the content availability by using utility of data object which is computed based on the needs of the social communities in which the node resides |
[101] | A utility-based routing scheme (i.e., SimBet) is introduced to find the best forwarding node in an opportunistic network | SimBet utility is calculated based on social network metrics such as betweenness and social similarity which is used to select the node that provides maximum utility for carrying the message |