The pervasive deployment of wireless smart devices stimulates the development of ad hoc networks.Such networks

also referred as opportunistic networks

are intermittently connected and represent a paradigm shift of forwarding data in an ad hoc manner.A recent trend is looking at social relationships

inferred from the social nature of human mobility

to bring messages close to a destination.We addressed this challenge by presenting a social context-aware opportunistic routing (SCOR).In this novel protocol

social context information of the network was exploited to predict the mobility patterns of nodes based on the back-propagation neural networks model.The routing scheme considered both the spatial and the temporal dimensions.If the recipient was present in the same connected region of the network as the sender

the message was delivered by synchronous method

or else the message was delivered by asynchronous method.The evaluation analysis and the simulation results indicate that for the social context-based routing algorithms in opportunistic networks

SCOR solution outperforms other routing solutions due to its ability to maximize the delivery ratio and to minimize the network overhead.