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A game theoretic approach for conflict resolution in argumentation enabled social IoT networks
Ad Hoc Networks ( IF 3.643 ) Pub Date : 2020-06-03 , DOI: 10.1016/j.adhoc.2020.102222
Nancy Gulati; Pankaj Deep Kaur

The notion of socially enabled Internet of Things (IoT) termed as Social IoT, emphasized on social interactions among smart objects in an IoT network. Moreover, the concept of speaking and hearing objects further advanced the level of interactions occurring among the IoT devices by empowering them with conversational abilities. Researchers are constantly working to practically realize this vision, keeping in mind the potential benefits of the integration of technologies like argumentation, logical reasoning and artificial intelligence into IoT. Moving along the same lines, this paper investigates the emerging concept of speaking objects and proposes novel reference architecture for argumentation enabled Social IoT systems. The proposed framework lays out a theoretical foundation for development of future applications in the said domain. Further, to overcome the challenges of conflict resolution in argumentation-based decision making, a game theoretic weighted voting scheme is deployed. To ascertain the validity the proposed model, a smart home assisted living use-case scenario is simulated in MATLAB. The simulations are conducted for both weighted and non-weighted voting schemes in a 4-player cooperative game and their performance is evaluated. Experimental results revealed that the proposed scheme outperforms the existing non-weighted voting schemes in terms of throughput which is improved by 35% for quota, q = 0.5. For higher quota values, a minimum improvement of at least 15% is observed. Therefore, the proposed approach confirms to be an effective scheme for decision making in argumentation enabled Social IoT systems.
更新日期:2020-06-23

 

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