Mo Li

Computer Networks and Communications · TOSN · 2007–2009

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mo Li trusts overall

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

  1. Brad Karp
  2. Andreas Savvides
  3. Venkatesh Rajendran
  4. Samuel Madden
  5. Hyuk Lim
  6. Jie Gao
  7. Loukas Lazos
  8. Jason L. Hill
  9. Katia Obraczka
  10. Mani B. Srivastava

Who trusts Mo Li overall

  1. Moe Z. Win
  2. Yunhao Liu
  3. C. Laoudias
  4. Xiaobing Wu
  5. Yuan Shen
  6. Adriano J. C. Moreira
  7. Wenhan Dai
  8. Guihai Chen
  9. Jennifer Yick

Papers from Mo Li's perspective

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

  1. Dynamic fine-grained localization in Ad-Hoc networks of sensors (ACM/IEEE International Conference on Mobile Computing and Networking)
  2. GPSR: greedy perimeter stateless routing for wireless networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  3. 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))
  4. Wireless sensor networks for habitat monitoring (ACM International Conference on Wireless Sensor Networks and Applications)
  5. Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks
  6. Directed diffusion: a scalable and robust communication paradigm for sensor networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  7. GPS-less low-cost outdoor localization for very small devices (IEEE wireless communications)
  8. System architecture directions for networked sensors (SIGP)
  9. The bits and flops of the n-hop multilateration primitive for node localization problems (ACM International Conference on Wireless Sensor Networks and Applications)
  10. Range-free localization schemes for large scale sensor networks (ACM/IEEE International Conference on Mobile Computing and Networking)

Their papers