Li Han

ORCID: 0009-0009-6437-1277
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About
Contact & Profiles
Research Areas
  • Cooperative Communication and Network Coding
  • Advanced Wireless Network Optimization
  • IoT and Edge/Fog Computing
  • Mobile Ad Hoc Networks
  • Privacy-Preserving Technologies in Data
  • Mobile Crowdsensing and Crowdsourcing
  • Optical Systems and Laser Technology
  • Caching and Content Delivery
  • Full-Duplex Wireless Communications
  • Coding theory and cryptography
  • Opportunistic and Delay-Tolerant Networks

Anhui University
2008-2024

Nanjing University of Science and Technology
2023

It is a well known result that network coding may achieve better throughput in certain multicast topologies. However, the practicality of has been questioned, due to its high computational complexity. This paper represents an attempt towards performance implementation coding. We first propose implement progressive decoding with Gauss-Jordan elimination, such blocks can be decoded as they are received. then employ hardware acceleration SIMD vector instructions. also use careful threading...

10.1109/iscsct.2008.141 article EN International Symposium on Computer Science and Computational Technology 2008-01-01

In this paper, the problem of multi-flow opportunistic routing in lossy wireless mesh network is considered. A heuristic algorithm, named MulSrc, proposed. Building on backpressure scheduling and intra-flow coding, MulSrc eliminates coordination between node as well improves fairness rate allocation different flows. To adjust sources' upper layer to condition, a TCP-like control mechanism adopted, which makes suitable for delay-sensitive but loss-tolerant applications, such adaptive...

10.1504/ijsnet.2017.10005729 article EN International Journal of Sensor Networks 2017-01-01

In this paper, the problem of multi-flow opportunistic routing in lossy wireless mesh network is considered. A heuristic algorithm, named MulSrc, proposed. Building on backpressure scheduling and intra-flow coding, MulSrc eliminates coordination between node as well improves fairness rate allocation different flows. To adjust sources' upper layer to condition, a TCP-like control mechanism adopted, which makes suitable for delay-sensitive but loss-tolerant applications, such adaptive...

10.1504/ijsnet.2017.084670 article EN International Journal of Sensor Networks 2017-01-01
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