Effective Data Communication Based on Social Community in Social Opportunistic Networks

Abstract

The online social network in wireless communication has become increasingly important owing to the fact that approximately billions of people send and receive information online using mobile devices. Communication may face a challenge arising from the conflict between traditional theories and new research methods in data transmission. The massive amount of transmitted data results in energy over-consumption, low delivery ratio, and transmission delays. This study attempts to solve these drawbacks by proposing a method that effectively divides social communities according to the human activity characteristics in opportunistic networks. The established effective information transmission based on structuralization areas scheme allows information to be transmitted between resource nodes and communities. A good performance is achieved with nodes that extend network lifetime and reduce energy consumption in the communication environment.