Energy-based sensor network source localization via projection onto convex sets

By Doron Blatt, A. Hero. IEEE Transactions on Signal Processing, 2005

317 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mechanics, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/99df0a53e3fc5241629c3360fbbf29efa5793b78

How researchers see this paper

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

In Artificial Intelligence

1. Michael G. Rabbat
2. Soummya Kar
3. Henk Wymeersch
4. Anna Scaglione
5. José M. F. Moura
6. A. Dimakis
7. Moe Z. Win
8. Jaime Lien

In Computational Mechanics

1. Michael G. Rabbat
2. José M. F. Moura
3. Soummya Kar
4. A. Dimakis
5. Moe Z. Win
6. Anna Scaglione
7. Angelia Nedić
8. Aryan Mokhtari

In Computer Networks and Communications

1. Michael G. Rabbat
2. Ali H. Sayed
3. Soummya Kar
4. José M. F. Moura
5. Anna Scaglione
6. Angelia Nedić
7. Henk Wymeersch
8. Nicolas Loizou

Citations in the corpus

• Cooperative Localization in Wireless Networks (2009, background): “The cooperative LS algorithm forms the bas is of the works [30], [46], [47], [49], [52], [53], [55]–[57], [60], as well as variations such as weighted LS, where signal metrics have an associated weight reflecting the quality of t he estimate [106], and regularized LS, where certain location s are pe”
• Gossip Algorithms for Distributed Signal Processing (2010, methodology): “Distributed approaches based on finding a cyclic route through the network are presented in [9], [10].”