Reliability study of mesh networks modeled as random graphs

  • Authors:
  • Louis A. Petingi

  • Affiliations:
  • Computer Science Department, College of Staten Island, City University of New York, Staten Island, NY

  • Venue:
  • MMES'10 Proceedings of the 2010 international conference on Mathematical models for engineering science
  • Year:
  • 2010

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Abstract

In this paper we propose the application of a network reliability measure to assess performance objectives of wireless mesh networks in order to address different optimization problems in communication theory. In classical reliability theory, a communication network can be modeled as a directed graph G=(V,E), composed of a finite set V of nodes, and a finite set E of links. Given that the links of a network underlying graph fail independently with known probabilities (nodes are perfectly reliable), and given a set K of terminal nodes and a source node s of K, the Source-to-K-terminal reliability Rs,K(G), is the probability of the event that source s will communicate with the terminal nodes thru operational directed paths. This reliability measure is then used to address several optimization problems in mesh networks, in which each link represents a stochastic wireless communication channel connecting two nodes of a network and whose probability of failure is based upon recent results in Information Theory. We present efficient algorithmic techniques to tackle optimization problems in communication networks such as nodes redundancy and areas' connectivity.