Lu-Chuan Kung

Computer Networks and Communications · 2006

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lu-Chuan Kung trusts overall

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

  1. Paramvir Victor Bahl
  2. V. Padmanabhan
  3. Honghai Zhang
  4. Tian He
  5. Nirupama Bulusu
  6. Paul C. Castro
  7. Parameshwaran Krishnan
  8. Dragos Stefan Niculescu
  9. Andrew M. Ladd

Who trusts Lu-Chuan Kung overall

  1. Philipp Bolliger
  2. Mo Li
  3. Jing Wang
  4. Manikanta Kotaru

Papers from Lu-Chuan Kung's perspective

Ordered by how strongly the researchers Lu-Chuan Kung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. RADAR: an in-building RF-based user location and tracking system (Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064))
  2. GPS-less low-cost outdoor localization for very small devices (IEEE wireless communications)
  3. System architecture directions for networked sensors (SIGP)
  4. Convex position estimation in wireless sensor networks (Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213))
  5. GPSR: greedy perimeter stateless routing for wireless networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  6. Next century challenges: scalable coordination in sensor networks
  7. Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  8. Ad hoc On-Demand Distance Vector (AODV) Routing (Request for Comments)
  9. Geometric ad-hoc routing: of theory and practice (ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing)
  10. Wireless sensor networks: a survey

Their papers