Sukun Kim

Computer Networks and Communications · 2006–2007

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sukun Kim trusts overall

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

  1. Gilman Tolle
  2. David E. Culler
  3. Alec Woo
  4. Miklos Maroti
  5. Ning Xu
  6. Omprakash Gnawali
  7. Robert Szewczyk
  8. Terence Tong

Who trusts Sukun Kim overall

  1. Gerhard P. Hancke Jr.
  2. Alessandro Sabato
  3. Giuseppe Quaranta
  4. Mohammed Abdulkarem
  5. Adam Noel
  6. Bruno Silva
  7. Christopher Niezrecki

Papers from Sukun Kim's perspective

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

  1. Taming the underlying challenges of reliable multihop routing in sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  2. The flooding time synchronization protocol (ACM International Conference on Embedded Networked Sensor Systems)
  3. A wireless sensor network For structural monitoring (ACM International Conference on Embedded Networked Sensor Systems)
  4. An analysis of a large scale habitat monitoring application (ACM International Conference on Embedded Networked Sensor Systems)
  5. The dynamic behavior of a data dissemination protocol for network programming at scale (ACM International Conference on Embedded Networked Sensor Systems)
  6. A macroscope in the redwoods (ACM International Conference on Embedded Networked Sensor Systems)
  7. MoteLab: a wireless sensor network testbed (International Symposium on Information Processing in Sensor Networks)
  8. VigilNet: An integrated sensor network system for energy-efficient surveillance (TOSN)
  9. Perpetual environmentally powered sensor networks (IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005.)
  10. A line in the sand: a wireless sensor network for target detection, classification, and tracking (Comput. Networks)

Their papers