2013
DOI: 10.1093/comjnl/bxt128
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An Energy-Efficient Distributed Cut Vertex Detection Algorithm for Wireless Sensor Networks

Abstract: Maintaining connectivity is a very important objective of wireless sensor networks (WSNs) in successfully achieving data collection for applications. A cut vertex (node) is defined as a critical vertex whose removal disconnects a network component and partially disables data delivery. Hence, it is crucial that cut vertices be detected and treated with caution. In this paper, we propose an energy-efficient cut vertex detection algorithm for WSNs. Our algorithm uses a depth-first search approach and is completel… Show more

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Cited by 20 publications
(10 citation statements)
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References 25 publications
(71 reference statements)
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“…Centrality 49,50,51 Centralized 37,40,44 Distributed 20,41,42,43 Data transmission 39 Energy 38,51 k-connected graph 14,45,46,47 F I G U R E 2 Classification of critical nodes variants on WSN…”
Section: Cut Vertexmentioning
confidence: 99%
See 1 more Smart Citation
“…Centrality 49,50,51 Centralized 37,40,44 Distributed 20,41,42,43 Data transmission 39 Energy 38,51 k-connected graph 14,45,46,47 F I G U R E 2 Classification of critical nodes variants on WSN…”
Section: Cut Vertexmentioning
confidence: 99%
“…37,40 The cut vertex detection algorithms available in the literature can be divided into two categories: distributed algorithms 20,[41][42][43] and centralized algorithms. 37,40,44 In Reference 14, the authors consider a k-connected graph where a graph (G) has k connectivity if the minimum vertex cut of G has at least k vertices, that is, it remains whenever fewer than k vertices are removed. Decreasing the k value of the network can have a significant impact on the performance of the network.…”
Section: Cut Vertexmentioning
confidence: 99%
“…While it is certainly not the case that every connected graph contains a cut-point, graphs with cutpoints certainly arise in applied settings. For instance there is an interest in the existence and location of cut-points in wireless networks, and there are a number of algorithms for identifying cut-points in such networks (see, for example Dagdeviren and Akram, 2014;Stojmenovic et al, 2011;Xiong and Li, 2010). Similarly, connected scale-free networks contain large numbers of low degree vertices, and are likely to have many vertices of degree 1, which are necessarily adjacent to cut-points.…”
Section: Random Walk Centrality In the Presence Of A Cut-pointmentioning
confidence: 99%
“…Nesnelerin interneti Endüstri 4.0 ile birlikte ön plana çıkmış olup akıllı fabrikalarda kullanılmaktadır [9]. Telsiz duyarga ağlarında kritik düğümlerin tespiti için geliştirilen algoritma gömülü sistemler üzerinde uygulanmıştır [10].…”
Section: Gi̇ri̇ş (Introduction)unclassified