Abstract
Numerous applications, like robot navigation, network verification and discovery, geographical routing protocols, and combinatorial optimization, make use of the metric dimension and connected metric dimension of graphs. In this work, the connected metric dimension types of ladder graphs, namely, ladder, circular, open, and triangular ladder graphs, as well as open diagonal and slanting ladder graphs, are studied.
Highlights
- Recognizing numerous applications of the connected metric dimension types, including robot navigation, network verification and discovery, geographical routing protocols, and combinatorial optimization.
- Making use of the metric dimension and connected metric dimension of graphs.
- Studying the connected metric dimension types of ladder graphs, namely, ladder, circular, open, and triangular ladder graphs, as well as open diagonal and slanting ladder graphs.
1. Introduction
In [1, 2], a connected resolving set of graphs was introduced recently. The shortest path between any two vertices u,v∈V(G) in a linked graph G=(V,E) is represented by d(u,v). An ordered vertex set B={x1,x2,...,xk}⊆V(G) is a metric basis of G if B has minimum cardinality and the following representation:
is unique for each v∈V(G). A metric basis B of G is connected if the subgraph -B produced by B is a nontrivial connected subgraph of G. The metric dimension and connected metric dimension of G, denoted as dim(G) and cdim(G), respectively, have the following definitions: Let |B| be the cardinality of B, then we have: dim(G)=min{|Bi|:Bi⊆2v, Bi is a resolving set of G}, cdim(G)=min{|Bi|:Bi⊆2v, Bi is a connected resolving set of G}.
The connected metric dimension at a vertex v∈V(G), denoted as cdimG(v), is the metric basis of G that contains v and generates a connected subgraph of G; then:
Slater [3, 4] introduced the concept of metric basis as a locating set of G and uses the cardinality of B as a locating number to locate an intruder in a network. Harary and Melter independently discovered the ideas of a metric basis as a minimum resolving set of G and the cardinality of B as a metric dimension [5]. A number of graphs’ metric dimensions are found in [6–15]. The following are the graphs: corona product [6], regular bipartite [7], chain graphs [8], mobius ladder [9], circulant graphs and Cayley hypergraphs [10], heptagonal circular ladder [11], generalized Petersen multigraphs [12], power of total graph [13], friendship graph [14], and quartz graph [15]. Specifically, the authors in [1] studied the linked metric dimension of the n-1 star network K1, full graph Kn, cycle graph Cn, route graph Pn, and wheel graph Wn. The findings show that the cycle graph Cn, n≥3, and the route graph Pn, n≥2, both have connected metric dimensions that are equal to 2, whereas it is for the star graph K1,n-1, n≥4, is n-1, and for the complete graph Kn, n≥3, is n-1. According to [2], the connected metric dimension of the wheel graph Wn, n≥7, is ⌊2n+25⌋+1, while it is for the Petersen graph P is 4, and if v is an end vertex of the tree T, then it is at a vertex of T; otherwise, it is at a vertex of T that is 2. Further information might be found in the literature [16-22], and some future notions may be applied to some applications like [23, 24].
To illustrate the ideas of metric dimension with its connected one, we plot in Fig. 1 the 3C4 –snake graph.
Fig. 13C4-Snake graph G with dimG=3 and cdimG=5

The set B={v1,v5,v8}is a metric basis of G, due to the representations for the vertices of G are distinct. Since the representations r(v1|B)=(0,2,3), r(v2|B)=(1,3,4), r(v3|B)=(2,2,3), r(v4|B)=(1,1,2), r(v5|B)=(2,0,3), r(v6|B)=(3,1,2), r(v7|B)=(2,2,1), r(v8|B)=(3,3,0), r(v9|B)=(4,4,1), r(v10|B)=(3,3,2) for the vertices of G are different, the set B={v1,v5,v8} is a metric basis of G. Therefore, dim(G)=3, and the subgraph induced by ˉB=(B,E) is disconnected. As a result, B and G are not connected resolving sets. To be more precise, no 3-element subset of G is a connected resolving set. Given that the representations r(v1|ˉB)=(0,1,2,2,3), r(v2|ˉB)=(1,2,3,3,4), r(v3|ˉB)=(2,1,2,2,3),r(v4|ˉB)=(1,0,1,1,2), r(v5|ˉB)=(2,1,0,2,3), r(v6|ˉB)=(3,2,1,1,2), r(v7|ˉB)=(2,1,2,0,1), r(v8|ˉB)=(3,2,3,1,0), r(v9|ˉB)=(4,3,4,2,1), r(v10|ˉB)=(3,2,3,1,2) are distinct, the set ˉB={v1,v4,v5,v7,v8} is a connected resolving set. Therefore, cdim(G)=5. However, we aim in this article to examine the connected metric dimension of a class of ladder graphs that includes slanting, open diagonal, triangular, open, circular, and open ladder graphs.
2. Applications of ladder graph
We present three applications pertaining to ladder graphs in this section. The three uses listed above and many more inspire us to study the uniquely elegant labelling for the ladder graph. The first application that is filed is in electronics. Resistor ladder networks are a quick and inexpensive way to do digital-to-analog conversion (DAC). The binary weighted ladder and the R/2R ladder are the two most widely used networks. Both devices can convert digital voltage information to analogue, but due to its greater accuracy and simple construction, the R/2R ladder has gained more popularity. The second application is electrical technology. The ladder flow graph is made using Ohm's equation and the two Kirchhoff equations. After that, the graph is inverted so that only forward paths are visible. The reciprocal of the total number of paths that could possibly lead from the output to the input node is the transfer function in the case of a simple ladder. If ladders with internal generators are dependent or independent, the transfer function can be found using similar methods with slight adjustments. Other relations, such as the input impedance and transfer admittance, can also be found using the flow graph. The third application is wireless communication. Over time, an increasing number of wireless networks have been developed to provide wire-free communication between any two devices (computers, phones, etc.). Nevertheless, there aren’t enough radio frequencies accessible for wireless communication (just 11 channels in the 2.4 GHz range are available for all WiFi transmissions in the US). It is essential to provide a workable manner to offer safe communications in industries like phones, mobile, security systems, WiFi, and many others [25]. It annoys me when someone else calls while I’m on the phone. This irritation is caused by interference from uncontrolled simultaneous transmissions [26]. Resonance or interference between two sufficiently adjacent channels can cause damage to communication. Interference can be prevented with the proper channel assignment. To arrive at a solution, Hale [27-30] conceptualized the problem as a graph (vertex) coloring model, which we now refer to as the L(2,1) coloring. Consider about the different transmitters and stations that are out there. In order to minimize interference, a channel must be assigned to each transmitter or station. Time-sensitive or error-sensitive communication may suffer from the interference phenomenon if transmitters are placed too close to one another either physically or through the frequency channels they use. To minimize interference, any two “close” transmitters ought to differ as much as possible from one another.
3. Results
Note that the two paths P2 and Pn are the Cartesian products of a ladder graph Ln.
Theorem 3.1. We have cdim(Ln)=n2, n≥4.
Fig. 2Ladder graph Ln

Proof. Herein, we select ˉB as ˉB={v1,v2,…,vn-22,vn2}. In this regard, we shall study each of the vertex representations of vi∈V(Ln) such thatn=2k+2forn≥4 with respect to ˉB. In other words, we have:
The set ˉB={v1,v2,..,vn-22,vn2} has an induced subgraph that is connected, and as previously demonstrated, the vertices in graph Ln have unique representations. Despite not always being the lowest limit, this implies that ˉB is a connected resolving set. Therefore, cdim(Ln)≤n2 is an upper bound. Thus, cdim(Ln)≥n2 is demonstrated. Given a connected resolving set ˉB={v1,v2,…,vn-22,vn2}, we assume that |ˉB|=n2, and ˉB1 is another minimum connected resolving set.
In the case that we choose an ordered set:
for which the two vertices vi, vj∈Ln are exist so that:
This is not the case; ˉB1 is not a connected resolving set as assumed. The lowest bound is therefore cdim(Ln)≥n2.
Corollary 3.2. If the ladder graph (C(Ln), n≥4, n=2k+2, is circular, then:
Fig. 3Circular Ladder graph C(Ln)

Theorem 3.3. If the ladder graph O(Ln), n≥8 is open, then cdim(O(Ln))=n2.
Fig. 4Open ladder graph OLn

Proof. Consider we have ˉB={v1,v2,…,vn-22,vn2}. With respect to ˉB, we take into consideration the following representations of vertices v1∈V(O(Ln)), n≥8, n=2k+6. So, we have:
Although the induced subgraph of ˉB is clearly connected and the representations of the vertices in graph O(Ln) are different, this does not necessarily imply that ˉB is a connected resolving set. For this reason, cdim(O(Ln))≤n2 is an upper bound.
We now demonstrate that cdim(O(Ln))≤n2. Given a connected resolving set ˉB={v1,v2,…,vn-22,vn2} with |ˉB|=n2. Let ˉB1 be an additional minimal connected resolving set. Let us choose an ordered set:
for which there are two vertices vi, vj∈O(Ln) such that:
It is not the case that ˉB1 is a connected resolving set, as implied. Thus, cdim(O(Ln))≥n2 is the lower bound. Ultimately, cdim(O(Ln))=n2.
Theorem 3.4. For n≥4, cdim(TLn)=n2 for which G is a triangular ladder graph TLn.
Fig. 5Triangular Ladder graph TLn

Proof. For n≥4 such that n=2k+2, we take into consideration a connected resolving set of (TLn) as the set ˉB={v1,v2,…,vn-22,vn2}. The vertices’ representations vi∈V(TLn) in connection to ˉB are given as follows:
The unique vertex representations in graph TLn suggest that ˉB is a connected resolving set, and as can be seen above, the induced subgraph of ˉB is indeed connected, but this is not always the case. Therefore, cdim(TLn)≤n2 is an upper bound. Thus, we demonstrate that cdim(TLn)≥n2.
Given a connected resolving set ˉB={v1,v2,…,vn-22,vn2}, |ˉB|=n2. Let ˉB1 be an additional minimal connected resolving set. When we choose an ordered set:
Obviously, we can see that ∃vi, vj∈TLn for which:
It is not the case that ˉB1 is a connected resolving set, as implied. Hence, the lower bound is cdim(TLn)≥n2. Therefore, we have cdim(TLn)=n2.
Corollary 3.5. For an open triangular ladder O(TLn), we have cdim(O(TLn))=3, n≥8.
Fig. 6Open triangular Ladder O(TLn)

Theorem 3.6. If SLn is a Slanting ladder graph, then cdim(SLn)=n2, for n≥6.
Fig. 7Slanting Ladder SLn

Proof. By taking into consideration vi∈V(SLn) with respect toˉB, we assume that ˉB={v1,v2,…,vn-22,vn2} is a connected resolving set for (SLn) in which n≥6, n=2k+4. This implies:
The unique vertex representations in graph SLn suggest that ˉB is a connected resolving set, and as can be shown above, the induced subgraph ofˉB is clearly connected, but this is not always the case we desire. Because of this, cdim(SLn)≤n2 is an upper bound. Thus, we demonstrate that cdim(SLn)≥n2.
Given a connected resolving set ˉB={v1,v2,..,vn-22,vn2}, with |ˉB|=n2. Let ˉB1 be an additional minimal connected resolving set. In the event that we choose the following ordered set:
for which ∃vi, vj∈SLn satisfying:
It will not be a connected resolving set if, in contrast to the assumption, we choose an ordered ˉB1. As a consequence, the lower bound is cdim(SLn)≥n2, and hence cdim(SLn)=n2.
Theorem 3.7. If the graph O(DLn) is an open diagonal ladder, then cdim(O(DLn))=n2, n≥6.
Proof. Take into consideration the connected resolving set of (O(DLn)) for which n≥6, n=2k+6, and the set ˉB={v1,v2,…,vn-22,vn2}. With respect toˉB, consider vi∈V(O(DLn)) as follows:
In graph O(DLn), the vertex representations are unique and the induced subgraph ofˉB is undoubtedly connected, as can be observed above. This suggests thatˉB is a connected resolving set, though it need not be the lowest bound. For this reason, cdim(O(DLn))≤n2is an upper bound, and thus we demonstrate that cdim(O(DLn))≥n2.
Fig. 8Open diagonal ladder graph O(DLn)

Given a connected resolving set ˉB={v1,v2,…,vn-22,vn2} with |ˉB|=n2. Let ˉB1 be an extra minimal connected resolving set. Assume that we choose the following ordered set:
for which ∃vi, vj∈O(DLn) satisfying:
It will not be a connected resolving set if, in contrast to the assumption, we choose an ordered ˉB1. As a consequence, the lower bound is cdim(O(DLn))≥n2, and hence cdim(O(DLn))=n2.
4. Conclusions
The constant metric dimension of an open triangular ladder O(TLn) is 3. There are several types of ladder graphs with unbounded metric dimensions as n→∞, circular, open, triangular, slanting, and open diagonal. Our approach will be extended to ladder-class graph subdivisions in the future.
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About this article
The authors have not disclosed any funding.
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
M. Iqbal Batiha: conceptualization, validation, data curation. Mohamed Amin: methodology, formal analysis, supervision. Basma Mohamed: software, investigation. Iqbal H. Jebril: resources, visualization, supervision.
The authors declare that they have no conflict of interest.