TY - GEN
T1 - Event extent estimation
AU - Bienkowski, Marcin
AU - Ga̧sieniec, Leszek
AU - Klonowski, Marek
AU - Korzeniowski, Miroslaw
AU - Schmid, Stefan
N1 - Funding Information:
Supported by MNiSW grant number N206 257335, 2008-2011, PBZ/MNiSW/ 07/2006/46.
PY - 2010
Y1 - 2010
N2 - This paper studies local-control strategies to estimate the size of a certain event affecting an arbitrary connected subset of nodes in a network. For example, our algorithms allow nodes in a peer-to-peer system to explore the remaining connected components after a Denial-of-Service attack, or nodes in a sensor network to assess the magnitude of a certain environmental event. In our model, each node can keep some extra information about its neighborhood computed during the deployment phase of the network. On the arrival of the event, the goal of the active nodes is to learn the network topology induced by the event, without the help of the remaining nodes. This paper studies the tradeoffs between message and time complexity of possible distributed solutions.
AB - This paper studies local-control strategies to estimate the size of a certain event affecting an arbitrary connected subset of nodes in a network. For example, our algorithms allow nodes in a peer-to-peer system to explore the remaining connected components after a Denial-of-Service attack, or nodes in a sensor network to assess the magnitude of a certain environmental event. In our model, each node can keep some extra information about its neighborhood computed during the deployment phase of the network. On the arrival of the event, the goal of the active nodes is to learn the network topology induced by the event, without the help of the remaining nodes. This paper studies the tradeoffs between message and time complexity of possible distributed solutions.
UR - http://www.scopus.com/inward/record.url?scp=77954402837&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-13284-1_6
DO - 10.1007/978-3-642-13284-1_6
M3 - Conference contribution
AN - SCOPUS:77954402837
SN - 3642132839
SN - 9783642132834
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 57
EP - 71
BT - Structural Information and Communication Complexity - 17th International Colloquium, SIROCCO 2010, Proceedings
T2 - 17th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2010
Y2 - 7 June 2010 through 11 June 2010
ER -