Vaidyanathan Ramadurai

Computer Networks and Communications · 2004

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Vaidyanathan Ramadurai trusts overall

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

  1. Paramvir Victor Bahl
  2. V. Padmanabhan
  3. Lewis Girod
  4. Kamin Whitehouse
  5. Deborah Estrin
  6. Lance Doherty
  7. Jeffrey Hightower
  8. Sebastian Thrun
  9. Andrew M. Ladd
  10. David E. Culler

Who trusts Vaidyanathan Ramadurai overall

  1. Bodhi Priyantha
  2. Jing Wang
  3. Slavisa Tomic

Papers from Vaidyanathan Ramadurai's perspective

Ordered by how strongly the researchers Vaidyanathan Ramadurai 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. Next century challenges: scalable coordination in sensor networks
  3. 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))
  4. System architecture directions for networked sensors (SIGP)
  5. Directed diffusion: a scalable and robust communication paradigm for sensor networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  6. SpotON: An Indoor 3D Location Sensing Technology Based on RF Signal Strength
  7. GPS-less low-cost outdoor localization for very small devices (IEEE wireless communications)
  8. A scalable location service for geographic ad hoc routing (ACM/IEEE International Conference on Mobile Computing and Networking)
  9. Building efficient wireless sensor networks with low-level naming (Symposium on Operating Systems Principles)
  10. Probabilistic Algorithms in Robotics (The AI Magazine)

Their papers