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Li Liu

Researcher at Dalian University of Technology

Publications -  14
Citations -  535

Li Liu is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Routing protocol & Mobile computing. The author has an hindex of 8, co-authored 13 publications receiving 457 citations.

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Journal ArticleDOI

Socially Aware Networking: A Survey

TL;DR: A survey of the state-of-the-art research on SAN with focus on three aspects: routing and forwarding, incentive mechanisms, and data dissemination is presented.
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CAIS: A Copy Adjustable Incentive Scheme in Community-Based Socially Aware Networking

TL;DR: This paper proposes a copy adjustable incentive scheme (CAIS), which adopts the virtual credit concept to stimulate selfish nodes to cooperate in data forwarding and demonstrates that CAIS copes well with node selfishness in community-based networks and outperforms other benchmark protocols with high data delivery ratio, low communication overhead, and short data delivery latency.
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BEEINFO: Interest-Based Forwarding Using Artificial Bee Colony for Socially Aware Networking

TL;DR: BEEINFO is a set of interest-based forwarding schemes for SAN that adopts the food foraging behavior of bees to detect the environment information and to optimize the forwarding procedure, which illustrates that BEEINFO outperforms PRoPHET and Epidemic with higher message delivery ratio, less overhead, and fewer hop counts.
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PIS: A Multi-Dimensional Routing Protocol for Socially-Aware Networking

TL;DR: Proximity-Interest-Social (PIS) as discussed by the authors is a multi-dimensional routing protocol in which the three different social dimensions are integrated into a unified distance function in order to select optimal intermediate data carriers.
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PIS: A Multi-dimensional Routing Protocol for Socially-aware Networking

TL;DR: This paper proposes a multi-dimensional routing protocol called Proximity-Interest-Social (PIS) protocol in which the three different social dimensions are integrated into a unified distance function in order to select optimal intermediate data carriers.