Daniel D. Stancil

Computer Networks and Communications · 2000–2010

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel D. Stancil trusts overall

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

  1. Jerry Zhao
  2. Jörg Ott
  3. Kamin Whitehouse
  4. Daniel Aguayo

Who trusts Daniel D. Stancil overall

  1. Haibo Zhou
  2. Wenchao Xu
  3. Haiming Yu

Papers from Daniel D. Stancil's perspective

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

  1. Understanding packet delivery performance in dense wireless sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  2. Experimental evaluation of wireless simulation assumptions (International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems)
  3. Link-level measurements from an 802.11b mesh network (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  4. Challenges of intervehicle ad hoc networks (IEEE transactions on intelligent transportation systems (Print))
  5. Exploiting the capture effect for collision detection and recovery (The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II.)
  6. Drive-thru Internet: IEEE 802.11b for "automobile" users (IEEE INFOCOM 2004)
  7. Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band (IEEE Journal on Selected Areas in Communications)
  8. Reliability Analysis of DSRC Wireless Communication for Vehicle Safety Applications (2006 IEEE Intelligent Transportation Systems Conference)
  9. A measurement study of vehicular internet access using in situ Wi-Fi networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  10. Complex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks

Their papers