Impact of Social Interaction on the Capacity of Hybrid Wireless Networks

• Main Authors: Qiuming Liu, He Xiao, Xiaohong Qiu, Li Yu
• Format: Article
• Language: English
• Published: IEEE 2018-01-01
• Series: IEEE Access
• Subjects: Throughput capacity; social group; paw-law distribution; hybrid wireless network
• Online Access: https://ieeexplore.ieee.org/document/8444620/

In this paper, we jointly consider the optimal max-L-hops routing policy and social features for the throughput capacity of a hybrid wireless network, which is different from the existing works that ignored the network traffic model. For the social feature, each node's social group is determined by a probability related to the distance from the source node. To embody the features of social behavior, we propose a traffic model within a social group. Under the max-L-hops routing policy in the hybrid wireless network, we analyze the effects of physical distance, clustering property, and a number of base station on throughput capacity. We also study the influence of different social group sizes on the throughput capacity. Our results demonstrate that: 1) the optimal L is not only related to social group size, but also the selection of destination nodes; 2) when the social contact factors α and β increase, the throughput capacity trends to be independent of the number of base station and routing parameter L. Particularly, our results show that the wireless network is scalable with the number of node, if the social contact factor is large enough; and 3) the results demonstrate that the base station and social interaction improve the throughput capacity of hybrid wireless networks.