Abstract
In this paper, we propose a social coalition-aware framework for task assignment in Flying Internet of Things (Flying IoT), where the intelligent unmanned aerial vehicles (UAVs), as a rising form of new IoT devices, can execute diverse tasks in a self-organized way. In this respect, the Social IoT (SIoT) paradigm promises to enable smart objects to autonomously work socially with surround objects, and thus build the social networks of objects without human intervention. The proposed framework aims at exploiting the extracted social attributes of drones for improving the efficiency of task coordination in a multi-hop delivery way. To measure the collaborative effect, a social-aware coalition game is formulated, and then we adopt the Shapley value to capture the relative importance of coalition members. The member with highest value will be elected as a leader for each coalition. Simulation results demonstrate that the proposed scheme can notably enhance the efficiency of task diffusion process compared to other benchmarks.
Supported by Key Research & Development Project for Science and Technology of Xuzhou, China (KC18105), the National Natural Science Foundation of China [51734009, 61771417, 51804304], Outstanding Innovation Scholarship for Doctoral Candidate of “Double First Rate” Construction Disciplines of CUMT, and joint Ph.D. program of “double first rate” construction disciplines of CUMT.
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Wang, B., Sun, Y., Li, S. (2019). Social Coalition-Aware Task Assignment in Flying Internet of Things. In: Duong, T., Vo, NS., Nguyen, L., Vien, QT., Nguyen, VD. (eds) Industrial Networks and Intelligent Systems. INISCOM 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-030-30149-1_12
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