Abstract:where diam(G) and d (u, v) are diameter and distance between u and v in graph G respectively. The radio number rn(G) of G is the smallest number k such that G has radio labeling with max{g(v) : v ∈ V (G)} = k. We investigate radio number for some families of generalized caterpillar graphs.
“…▪ Definition 5 (Nazeer et al [17]). The graph C (m, 0) P n is generalized caterpillar derived from P n by attaching m vertices of degree one to each vertex of degree two of P n .…”
Let G be a graph and S ⊆ V(G). If ∑u∈S12d(u,v)−1≥1 for all v ∈ V(G), then S is a porous exponential dominating set for G, where d(u, v) is the distance between vertices u and v. The smallest cardinality of a porous exponential dominating set is the porous exponential domination number of G and is denoted by γe*false(Gfalse). In this article, we examine porous exponential domination number of some shadow graphs and trees such as comet, double comet, double star, binomial tree, and generalized caterpillar graphs.
“…▪ Definition 5 (Nazeer et al [17]). The graph C (m, 0) P n is generalized caterpillar derived from P n by attaching m vertices of degree one to each vertex of degree two of P n .…”
Let G be a graph and S ⊆ V(G). If ∑u∈S12d(u,v)−1≥1 for all v ∈ V(G), then S is a porous exponential dominating set for G, where d(u, v) is the distance between vertices u and v. The smallest cardinality of a porous exponential dominating set is the porous exponential domination number of G and is denoted by γe*false(Gfalse). In this article, we examine porous exponential domination number of some shadow graphs and trees such as comet, double comet, double star, binomial tree, and generalized caterpillar graphs.
“…Tom & sunith (2015) proved strong sum distance in fuzzy graphs is metric and the distance of a fuzzy graph is greater than or equal to its radius of fuzzy graph and less than or equal radius with multiple 2 of fuzzy graph (10) . Nazeer et al (2016) discussed the radio labeling of Generalized Caterpillar graphs C(m,1)Pn, which is obtained from Pn by attaching m vertices of degree two to each vertex of degree two of Pn. They found a generalized result for radio labelling number in Generalized Caterpillar graphs (11) .…”
Section: Introductionmentioning
confidence: 99%
“…Nazeer et al (2016) discussed the radio labeling of Generalized Caterpillar graphs C(m,1)Pn, which is obtained from Pn by attaching m vertices of degree two to each vertex of degree two of Pn. They found a generalized result for radio labelling number in Generalized Caterpillar graphs (11) . Mahapatra et al (2019) introduced radio fuzzy graph.…”
Objectives:The objective of this study is to reduce the interference of the signals between Wi-Fi devices where the fuzzy values of the frequencies are from the closed interval [0,1]. Method: A new methodology is introduced to reduce the interference of the signals between Wi-Fi devices that is fuzzy radio reciprocal L-labeling. Findings: Here the general formula of fuzzy radio reciprocal L-labeling has been newly introduced to apply this concept in chemical graphs. Further results and discussions are also proved in this connection using the fuzzy chemical graph structure, where the distance and the frequencies between the routers of Wi-Fi connections are assigned fuzzy weights based on fuzzy radio reciprocal L-labeling, so that interference can be reduced and the signal strength is optimized.
Networking has been an essential field of multidisciplinary study, including computational theory, mathematics, social sciences, computer science, and other theoretical and applied sciences. The vulnerability determines the network's resistance to interruption of information flow after the breakdown of particular stations or transmission connections. Recently, new vulnerability parameter namely the disjunctive total domination number has been defined by Henning and Naicker [14]. This measure finds the critical vertices with an important position in the graph. In this context, we consider and compute exact formulae for the disjunctive total domination number in some tree networks.
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