Youxian Sun

Computer Networks and Communications · 2009–2011

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Youxian Sun trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Reza Olfati-Saber (in Computer Networks and Communications)
  2. Luca Schenato (in Computer Networks and Communications)
  3. Marco Zúñiga (in Electrical and Electronic Engineering)
  4. Bhaskar Krishnamachari (in Electrical and Electronic Engineering)
  5. David E. Culler (in Computer Networks and Communications)

Papers from Youxian Sun's perspective

Ordered by how strongly the researchers Youxian Sun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Foundations of Control and Estimation Over Lossy Networks (Proceedings of the IEEE)
  2. Kalman filtering with intermittent observations (IEEE Transactions on Automatic Control)
  3. Taming the underlying challenges of reliable multihop routing in sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  4. Integrated coverage and connectivity configuration in wireless sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  5. Analyzing the transitional region in low power wireless links (2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004.)
  6. Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  7. Versatile low power media access for wireless sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  8. Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop (IEEE Transactions on Automatic Control)
  9. Distributed control applications within sensor networks (Proceedings of the IEEE)
  10. Distributed Kalman filtering for sensor networks

Their papers