A game-theoretic analysis of user behaviors in crowdsourced wireless community networks

Ma, Qian; Gao, Lin; Liu, Ya-Feng; Huang, Jianwei

doi:10.1109/wiopt.2015.7151093

Cited by 24 publications

(17 citation statements)

References 9 publications

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“…Crowdsourcing [13], [14], [22] as an application of DNA in wireless networks enables mobile users to connect with each other and share their Internet connection. In these works, the connectivity is user-initiated and no specific business model is proposed.…”

Section: Related Work and Terminologiesmentioning

confidence: 99%

User-Centric Distributed Spectrum Sharing in Dynamic Network Architectures

Shafigh

Glisic

Hossain

et al. 2019

IEEE/ACM Trans. Networking

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We develop and analyze a new user-centric networking model for ubiquitous spectrum sharing where every user can share and use the spectrum under uncertainty of their traffic models. In this concept, users when connected to the Internet (wired/wireless) can dynamically serve as access points for other users in their vicinity. For this reason, the concept is referred to as user-centric distributed spectrum sharing. Each user in spectrum sharing mode utilizes a part of its available spectrum for its own traffic and remaining part to share with users in spectrum demanding modes. The model is designed as an operator supervised double-Stackelberg game with network operators, access points, and users as main players. We study network reliability and latency of the system under uncertainty of users' traffic patterns. The numerical results show that the proposed model, depending on different settings, can significantly improve both profit and utility for network operators and users, respectively. Furthermore, network reliability is significantly improved depending on the network parameters for both users and operators.

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Section: Related Work and Terminologiesmentioning

confidence: 99%

User-Centric Distributed Spectrum Sharing in Dynamic Network Architectures

Shafigh

Glisic

Hossain

et al. 2019

IEEE/ACM Trans. Networking

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“…Several recent works have studied the economics and incentive issues in crowdsourced wireless community networks, including the user behavior analysis [8][9][10], the pricing scheme design [11], and the competition analysis [12]. However, all of the above works focused on the scenario of complete information, where the network operator is assumed to know the complete information of all APOs.…”

Section: Literature Reviewmentioning

confidence: 99%

Incentivizing Wi-Fi Network Crowdsourcing: A Contract Theoretic Approach

Gao

Liu

et al. 2018

IEEE/ACM Trans. Networking

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Crowdsourced wireless community network enables individual users to share their private Wi-Fi access points (APs) with each other, hence can achieve a large Wi-Fi coverage with a small deployment cost via crowdsourcing. This paper presents a novel contract-based incentive framework to incentivize such a Wi-Fi network crowdsourcing under incomplete information (where each user has certain private information such as mobility pattern and Wi-Fi access quality). In the proposed framework, the network operator designs and offers a set of contract items to users, each consisting of a Wi-Fi access price (that a user can charge others for accessing his AP) and a subscription fee (that a user needs to pay the operator for joining the community). Different from the existing contracts in the literature, in our contract model each user's best choice depends not only on his private information but also on other users' choices. This greatly complicates the contract design, as the operator needs to analyze the equilibrium choices of all users, rather than the best choice of each single user. We first derive the feasible contract that guarantees the users' truthful information disclosure based on the equilibrium analysis of user choice, and then derive the optimal (and feasible) contract that yields the maximal profit for the operator. Our analysis shows that a user who provides a higher Wi-Fi access quality is more likely to choose a higher Wi-Fi access price and subscription fee, regardless of the user mobility pattern. Simulation results further show that when increasing the average Wi-Fi access quality of users, the operator can gain more profit, but (counter-intuitively) offer lower Wi-Fi access prices and subscription fees for users.

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“…Ma with a low cost. The key idea is to encourage individuals (users) to share their owned private Wi-Fi APs with each other, hence aggregating/crowdsourcing the coverage and capacity of private Wi-Fi APs [8]- [15]. By crowdsourcing millions of Wi-Fi APs already installed by users, this new type of network can reduce or even remove new Wi-Fi installations for the network operator.…”

Section: Background and Motivationmentioning

confidence: 99%

Economic Analysis of Crowdsourced Wireless Community Networks

Gao

Liu

et al. 2017

IEEE Trans. on Mobile Comput.

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Abstract-Crowdsourced wireless community networks can effectively alleviate the limited coverage issue of Wi-Fi access points (APs), by encouraging individuals (users) to share their private residential Wi-Fi APs with others. In this paper, we provide a comprehensive economic analysis for such a crowdsourced network, with the particular focus on the users' behavior analysis and the community network operator's pricing design. Specifically, we formulate the interactions between the network operator and users as a two-layer Stackelberg model, where the operator determining the pricing scheme in Layer I, and then users determining their Wi-Fi sharing schemes in Layer II. First, we analyze the user behavior in Layer II via a two-stage membership selection and network access game, for both small-scale networks and large-scale networks. Then, we design a partial price differentiation scheme for the operator in Layer I, which generalizes both the complete price differentiation scheme and the single pricing scheme (i.e., no price differentiation). We show that the proposed partial pricing scheme can achieve a good tradeoff between the revenue and the implementation complexity. Numerical results demonstrate that when using the partial pricing scheme with only two prices, we can increase the operator's revenue up to 124.44% comparing with the single pricing scheme, and can achieve an average of 80% of the maximum operator revenue under the complete price differentiation scheme.

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A game-theoretic analysis of user behaviors in crowdsourced wireless community networks

Cited by 24 publications

References 9 publications

User-Centric Distributed Spectrum Sharing in Dynamic Network Architectures

User-Centric Distributed Spectrum Sharing in Dynamic Network Architectures

Incentivizing Wi-Fi Network Crowdsourcing: A Contract Theoretic Approach

Economic Analysis of Crowdsourced Wireless Community Networks

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