A practical evaluation of radio signal strength for ranging-based localization

By Kamin Whitehouse, Chris Karlof, David E. Culler. MOCO, 2007

396 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/051f6887b70668343e7ed7b6bb835c7b35cf9ecc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Guoqiang Mao
2. Baris Fidan
3. Petros Spachos
4. Sebastian Sadowski

In Electrical and Electronic Engineering

1. Guoqiang Mao
2. Baris Fidan
3. Petros Spachos
4. Sebastian Sadowski

In Ocean Engineering

1. Guoqiang Mao
2. Baris Fidan
3. Petros Spachos
4. Sebastian Sadowski

Citations in the corpus

• Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking (2009, background): “, Whiteley, W., Yang, Y.R., Morse, A.S., Anderson, B.D.O. & Belhumeur, P.N. (2004) Rigidity, Computation, and Randomization in Network Localization, In IEEE INFOCOM Conference, (pp.”
• RSSI-Based Indoor Localization With the Internet of Things (2018, background): “For instance, there are many more obstacles indoors, including furniture, walls, and people, which can reflect the signals produced, increasing multipath effects [7], [8], [15].”