00000nam 2200000zi 4500 9.875878 CaOODSP 20221107164548 m o d f cr |n||||||||| 190704t20182017nsca #ob f000 0 eng d CaOODSP eng rda CaOODSP n-cn--- D68-10/135-2018E-PDF Asadi, M. M., author. Connectivity assessment of random directed graphs with application to underwater sensor networks / Mohammad Mehdi Asadi [and four others]. [Dartmouth, Nova Scotia] : Defence Research and Development Canada = Recherche et développement pour la défense Canada, 2018. ©2017 1 online resource (8 pages) : figures. text txt rdacontent computer c rdamedia online resource cr rdacarrier External literature (P) ; DRDC-RDDC-2018-P135 Cover title. "Can unclassified." "April 2018." Includes bibliographical references, page [8]. "In this brief, the problem of connectivity assessment for a random network is investigated. The weighted vertex connectivity (WVC) 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 WVC measure extends the notion of vertex connectivity (VC) for random graphs by taking into account the joint effects of path reliability and network robustness to node failure. The problem of computing the WVC measure is transformed into a sequence of iterative deepening depth-first search and maximum weight clique problems. An algorithm is developed accordingly to find the proposed connectivity metric. The approximate WVC measure is defined subsequently as a lower bound on the introduced connectivity metric which can be found by applying a polynomial-time shortest path algorithm in a sequential manner. The performance of the proposed algorithms is validated using an experimental underwater acoustic sensor network"--Abstract. gccst Networks gccst Military technology Defence R&D Canada. Atlantic Research Centre. External literature (P) (Defence R&D Canada) DRDC-RDDC-2018-P135. (CaOODSP)9.854437 PDF 836 KB https://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-10-135-2018-eng.pdf