Enhancing Message Dissemination in Device to Device Communication Networks through User Interest Groups
In todays highly connected world with growing need for content, fueled by proliferation of mobile devices, message dissemination through social groups and communities has become the norm. Social networks have moved from just connecting people to solving community problems such as access to health care information. The increasing trend to shift from wired to wireless networking provides an opportunity to explore D2D communication as a promising alternative to existing infrastructurebased networks. With D2D communication, short-range radio technologies such as Wi-Fi and Bluetooth are best suited to meet the growing content demands of users. Most of the content dissemination frameworks focus on flooding content between nodes that are merely in close proximity with each other. This ignores the behavior and level of social interaction between mobile nodes.
This research improves the performance of D2D communication networks by exploiting social interaction and behavior of mobile nodes in a community setting by designing a message dissemination algorithm which captures user interest of shared content to replicate messages in a multicast group. Evaluation results show that our algorithm achieves good network performance through message delivery probability and latency.