Global Network Connectivity Assessment via Local Data Exchange for Underwater Acoustic Sensor Networks – Fiscal Year 2014-2015

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Authors
  1. Asadi, M.M.
  2. Mahboubi, H.
  3. Khosravi, M.
  4. Aghdam, A.G.
Corporate Authors
Defence Research and Development Canada, Atlantic Research Centre, Halifax NS (CAN);Concordia Univ, Montreal QUE (CAN)
Abstract
In this report, the problem of connectivity assessment for an underwater random sensor network is investigated. The weighted vertex connectivity is introduced as a metric to evaluate the connectivity of the weighted expected graph of a random sensor network where the elements of the weight matrix characterize the operational probability of their corresponding communication links. The weighted vertex connectivity measure extends the notion of vertex connectivity for random graphs by taking into account the joint effects of the path reliability and the network robustness to node failure. The approximate weighted vertex connectivity measure is defined subsequently as a lower bound on the introduced connectivity metric which can be found by applying a series of a polynomial-time shortest path algorithm. The performance of the proposed algorithms is validated by simulation and experimental results.
Report Number
DRDC-RDDC-2015-C325 — Contract Report
Date of publication
01 Mar 2015
Number of Pages
24
DSTKIM No
CA041741
CANDIS No
803013
Format(s):
Electronic Document(PDF)

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