The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 19-921
Full Name: Louis Petingi
Position: Professor
Age: ON
Sex: Male
Address: 177 Elmwood Avenue, Bogota, NJ 07603
Country: UNITED STATES
Tel: 1-718-982-2844
Tel prefix: 001
Fax: 1-718-982-2856
E-mail address: louis.petingi@csi.cuny.edu
Other E-mails: lpetn@verizon.net
Title of the Paper: Introduction of a new network reliability model to evaluate the performance of sensor networks
Authors as they appear in the Paper: Louis A. Petingi
Email addresses of all the authors:
Number of paper pages: 9
Abstract: In this paper we present a new network reliability measure that is particularly useful to evaluate performance objectives of wireless sensor networks. A communication network can be modeled as directed graph G = (V, E), composed of a set of nodes V, and a set of directed links E. Given that the links of the network underlying graph fail independently with known probabilities (nodes are perfectly reliable), and given a set K of terminal nodes (or participating nodes) and a distinguished terminal node s of K, the K-terminal-to-sink reliability measure, RK,s(G), is the probability of the event that the surviving links span a sub-digraph of G such that for each node u of K, there exists an operational directed path from u to s. In this paper we study a combinatorial property of graphs called the domination invariant which has been applied to efficiently compute the reliability of communication networks. Moreover we model wireless networks as random digraphs using curre!
nt results in Information Theory and we discuss how the K-terminal-to-sink reliability could be applied to tackle several optimization as well as design problems in sensor networks.
Keywords: Domination invariant, reliability theory, sensor networks, outage probability, optimization theory
EXTENSION of the file: .pdf
Special (Invited) Session: New reliability model and its application to assess the performance of sensor networks
Organizer of the Session: 202-294
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