IoT-D2D Task Allocation: an Award-Driven Game Theory Approach

被引:3
作者
Abd-Elrahman, Emad [2 ]
Afifi, Hossam [2 ]
Atzori, Luigi [1 ]
Hadji, Makhlouf [3 ]
Pilloni, Virginia [1 ]
机构
[1] Univ Cagliari, Dept Elect & Elect Engn, I-09124 Cagliari, Italy
[2] Telecom SudParis, IMT, Saclay, France
[3] SystemX, Technol Res Inst, Palaiseau, France
来源
2016 23RD INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT) | 2016年
关键词
D2D; IoT; Game Theory; WIRELESS SENSOR NETWORKS; CONSENSUS;
D O I
10.1109/ICT.2016.7500355
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An IoT-D2D cooperation framework for task allocation among objects in the IoT (Internet of Things) is presented. Proximity Services based on Device to Device (D2D) communication are used to enable direct interaction between IoT objects. The process is triggered by a node that decides to set up a cluster of nodes and then to coordinate the allocation strategy, where objects capable of performing the same tasks compete to get relevant remunerations. We then propose a game-theory based approach to find a solution maximizing objects utility functions. We prove that a Nash Equilibrium Point (NEP) can be found. Experimental results provide insights on the strategy performance.
引用
收藏
页数:6
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