Abstract
Exchange of resources and services over sharing economy networks is attracting increasing interest. In response to this trend, Internet of Things and sharing economy are two emerging paradigms to encourage people to share their assets, which could include personal devices with others. In this study, we propose a novel coordinated WiFi tethering algorithm for a number of mobile devices. Under the dynamic changing WiFi environment, the main issue is to effectively share the limited spectrum resource. To design our tethering algorithm, we adopt four different bargaining solutions, and introduce the meta-bargaining approach to handle comprehensively the spectrum resource. Therefore, we formulate network agents’ competitive interactions as a cooperative game model, and they can reach an agreement that gives mutual advantage while maximizing the system performance. To get a fair-efficient WiFi tethering performance, the main novelty of our proposed meta-bargaining approach is to ensure a relevant tradeoff among different bargaining solutions. Some simulation results and numerical analysis are provided to confirm the effectiveness of our proposed scheme. Specifically, according to our meta-bargaining approach, the device payoff, system throughput and fairness are improved by about 15%, 15% and 20%, respectively, in comparison with existing protocols.
Highlights
The concept of the prominent Internet-of-Things (IoT) notion is envisioned to improve the quality of modern life
By taking into account the load balancing among mobile access point (AP), we develop a novel WiFi spectrum resource sharing mechanism
We introduce the basic ideas of Nash bargaining solution (NBS), asymmetric Kalai–Smorodinsky solution (AKSS), Kalai– Smorodinsky solution (KSS), and egalitarian bargaining solution (EBS) to design our WiFi spectrum allocation scheme
Summary
The concept of the prominent Internet-of-Things (IoT) notion is envisioned to improve the quality of modern life. TECHNICAL CONCEPTS In the WiFi tethering management algorithm, autonomous, distributed, and intelligent mobile APs independently make rational and strategic decisions This scenario may fall into game theory. B. MAIN CONTRIBUTIONS In the WiFi tethering platform, mobile APs shares their spectrum resources according to a cooperative-competitive manner. With the combination of NBS, AKSS, KSS, and EBS, we can leverage the full synergy of different bargaining solutions to effectively allocate the limited spectrum resource. During the interactive meta bargaining process, the limited spectrum resource is fair-efficiently distributed to multiple mobile APs. We adopt the NBS, AKSS, KSS, and EBS bargaining solutions to comprehensively handle the WiFi tethering circumstance at the decision time. To share the limited WiFi spectrum resource, we clarify what could be a reasonable solution among mobile APs if they have different ideas about the ideal bargaining solution.
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