@inproceedings{Banerjee2019,
   abstract = {In this paper we consider the behavioral trust to be user-centric rather than device-centric. We propose that optimal Device-to-Device (D2D) association in mobile or vehicular networks can be attained through trust calculation after determining socially central users that are behaviorally motivated to communicate. The proposed algorithm considers user or device association as temporal and spatial human interactions to calculate trust for optimal association. Our findings show that the network performance is significantly affected by both the device-centric approaches, which have always considered social-aware models for associations, and the user-centric sporadic behavioral transition from selfishness to altruism or vice- versa. Therefore, we have considered assigning a selfishness probability to nodes based on the Shape Index metric and proposed selfish disassociation before network reconfiguration. We have shown that with this new approach it is possible to obtain a performance gain of over 300\% when compared to random association or social-aware algorithms.},
   author = {S. Banerjee and M. Hempel and P. Ghasemzadeh and Y. Qian and H. Sharif},
   doi = {10.1109/VTCFall.2019.8891357},
   isbn = {9781728112206},
   issn = {15502252},
   journal = {IEEE Vehicular Technology Conference},
   keywords = {5G,Behavior-aware D2D,Biological,D2D,Graph theory,Social-aware,Trust,Wireless},
   title = {A novel approach to social-behavioral D2D trust associations using self-propelled voronoi},
   volume = {2019-Septe},
   year = {2019},
}

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