Inconspicuous Manipulation for Social-Aware Relay Selection in Flying Internet of Things

Bowen Wang, Yanjing Sun, Zhichao Sheng, Hien M. Nguyen, Trung Q. Duong

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


In Flying Internet of Things (Flying IoT) scenario, the relay technology can effectively solve the problem of timely communication with distant unmanned aerial vehicles (UAVs). It is practical to design a distributed approach to let UAVs self-organize their relay selection strategy while considering the impact of social networks of objects. In this paper, we first propose a social-aware relay selection scheme using matching theory, which takes both physical condition and inter-device social tie into account. Besides, we study how to find the unilaterally Pareto-optimal stable matching through inconspicuous manipulating the preference list. Simulation results demonstrate that the proposed scheme can strike a better trade-off among throughput, reliability, and computational complexity performance than other benchmarks.
Original languageEnglish
JournalIEEE Wireless Communications Letters
Early online date28 May 2019
Publication statusEarly online date - 28 May 2019


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