M
Minqiang Li
Researcher at Tianjin University
Publications - 21
Citations - 293
Minqiang Li is an academic researcher from Tianjin University. The author has contributed to research in topics: Population & Wireless sensor network. The author has an hindex of 9, co-authored 21 publications receiving 262 citations. Previous affiliations of Minqiang Li include College of Management and Economics.
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Journal ArticleDOI
Stackelberg Game for Bandwidth Allocation in Cloud-Based Wireless Live-Streaming Social Networks
TL;DR: The approach allows bandwidth limited mobile users to acquire live multimedia streaming from desktop users, directly based on their social relationships rather than from the cloud, and designs protocols for both desktop and mobile users and evaluates them with numerical examples.
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Duopoly Pricing Strategy for Information Products with Premium Service: Free Product or Bundling?
TL;DR: The market equilibria is derived and it is shown that when a firm’s core product has a sufficient advantage in product quality, it is better for this firm to sell the bundle but for the other to use free strategy, and that the profitability of the firm that offers a free product always increases in network effects intensity and market size, but this is not the case for the company that sells the bundle.
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Distributed Resource Allocation in Cloud-Based Wireless Multimedia Social Networks
TL;DR: A new cloud-based WMSN is proposed to efficiently deal with multimedia sharing and distribution and motivates the use of cloud computing and social contexts in sharing live streaming and formulate the bandwidth allocation problem in a gametheoretical framework that is further implemented in a distributed manner.
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CDSWS: coverage-guaranteed distributed sleep/wake scheduling for wireless sensor networks
TL;DR: A coverage-guaranteed distributed sleep/wake scheduling scheme is presented with the purpose of prolonging network lifetime while guaranteeing network coverage, and results illustrate that CDSWS outperforms some other existed algorithms in terms of coverage guarantee, algorithm efficiency and energy conservation.
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Crowding with nearest neighbors replacement for multiple species niching and building blocks preservation in binary multimodal functions optimization
Minqiang Li,Jisong Kou +1 more
TL;DR: A novel niching scheme called the q-nearest neighbors replacement (q-NNR) method in the framework of the steady-state GAs (SSGAs) for solving binary multimodal optimization problems.