Abstract
A radio mean labeling l of G maps distinct vertices of G to distinct elements of
Keywords
Introduction
Graph theory studies graphs, mathematical models of objects(represented as vertices), and their relations(represented as edges). Many real-life scenarios can be conveniently modeled and studied using graphs. For example, graphs are used to model chemical molecules, geographic adjacency, activity scheduling problems, personnel-assignment problems, interconnection networks for parallel architectures, acquaintance networks, radio channel assignment problems, and so on [8]. In this 21st century, “Social networks” play an essential role in man’s life. Graphs can be used to detect communities within a social network. Centrality measures of a graph(network) identify its critical nodes(people) [6]. In situations where the relationships between objects are unclear or fuzzy, fuzzy graph models are more suitable. For example, the idea of fuzzy graphs is used to model the order of journeys from one place to another [17], communication system between teachers and students for the improvement of teaching [18], and connection of Wi-Fi network in a town [19], social network group with communication gaps [20], and so on. To identify the most affected COVID-19 cycles between some communicated countries [21], the concept of fuzzy graphs can be exploited. There are many active research areas in graph theory. One among them is the labeling of graphs. This article deals with the graph labeling technique called radio mean labeling.
Research background
For basic definitions and concepts in Graph theory, we refer [27]. Note that the graphs considered in this study are simple and connected. There are many graph coloring and labeling techniques proposed in connection with the Channel assignment problem of assigning channels optimally. It can be modeled as a distance-constrained labeling of graphs. One such graph labeling technique is radio labeling, defined by Gary Chartrand and others in [5] as a mapping of vertices of the graph G to

Different radio labelings of P5.
Radio mean labeling is a modified form of radio labeling and is defined by R.Ponraj et al. in [12] as follows: A radio mean labeling l of G maps distinct vertices of G to distinct elements of
Consider the path P5 whose diameter is 4. Assume that a radio mean labeling of P5 exists with a span equal to 5. Then, its range is {1, 2, 3, 4, 5}. Let u1, u2, u3, u4, u5 be an arrangement of vertices of P5 in the increasing order of vertex labels. Then u i ⟼ i, 1 ≤ i ≤ 5. To satisfy the radio mean condition, d P 5 (u1, u2) must be at least 3, d P 5 (u1, u3) must be at least 3 and d P 5 (u2, u3) must be at least 2. These constraints make the labeling impracticable. Thus there exists no radio mean labeling of P5 with integers in {1, 2, 3, 4, 5} as labels and hence rmn (P5) >5. Different radio mean labelings of path P5 are shown in Fig.2. The span of radio mean labelings in Fig.2 are 7, 7, 7, and 6 respectively. Among all radio mean labelings of P5, the least span is 6 and so rmn (P5) =6.

Different radio mean labelings of P5.
Determining the radio mean number of graphs is quite difficult, and it is determined for only a handful of classes of graphs. In [12] the radio mean labeling of graphs with a diameter of either two or three, sunflower graphs, lotus inside a circle, gear graphs, and helm graphs are studied. Ponraj et al. obtained the radio mean numbers of the subdivision graph of complete bipartite graphs, corona product of complete bipartite graph with path, and the friendship graph in [13] and that of the subdivision graphs of star, wheel, bistar, and K2 + mK1 in [15]. In [14] Ponraj et al. obtained the radio mean numbers of the corona of wheel W
n
with path P
m
, the graph Wm,n which is formed by joining the vertices other than the hub of the two wheels, say W
m
and W
n
with an edge, and the graph sp (W
n
) which is formed by subdividing each of the spokes of the wheel graph W
n
. Ponraj and Satish determined the radio mean numbers of jelly fish and its subdivision graph, book with n pentagonal pages, and the graph <K1,n : m> obtained by joining a new vertex to the centers of the m disjoint copies of K1,n in [16]. In [26], Sunitha et al. determined the radio mean number of triangular ladder graph, corona P
n
with
Motivation of this study
In Fig. 2, we have seen four different radio mean labelings of path P5. It is to be noted that these are not the only feasible radio mean labelings of P5. The radio mean condition completely depends on the distance between vertices and the graph’s diameter. As the order and diameter increase, finding all possible labelings satisfying the radio mean condition for any given graph is challenging. An exhaustive listing of all feasible radio mean labelings and their span is essential to obtain radio mean number of a given graph. In [12] R.Ponraj et al. observed that if the diameter of G is either 2 or 3, then rmn (G) = |V (G) |. It is given in [12] that for any graph G, |V (G) | ≤ rmn (G) ≤ |V (G) | + diam (G) -2. In this paper, we attempt to find sharper bounds on the radio mean number of a graph on n vertices and diameter d than the ones obtained in [12].
Framework of this study
In section 2.1, we obtained bounds on the radio mean number of a graph in terms of the radio mean number of its induced subgraph under certain conditions. Later in section 2.2, we use the results on radio mean labeling of paths with minimum span obtained in paper [22] to improve the bounds on the radio mean number of a graph in terms of its order and diameter. It is also shown that among all graphs on n vertices, the path P n possesses the maximum radio mean number. In section 2.3, we show with an example the upper bound of the radio mean number obtained in section 2.2 is much less than the bound mentioned in [12]. In section 3, we explain the applications of this labeling technique in cryptography. Finally, we conclude the article in section 4 by summarizing all key results we obtained and posing some open problems.
Bounds on radio mean number of graphs
Suppose that G is a graph on n vertices with diameter d. When K ⊆ V (G), the induced subgraph
Bounds on radio mean number of graph G in terms of the radio mean number of an induced subgraph of G
Thus γ is a radio mean labeling of graph H with the span of γ ≤ span of Γ. Since Γ is chosen arbitrarily, it also holds good with a radio mean labeling with a minimum span of G. Hence, span of γ ≤ rmn (G). Again by the definition of radio mean number, we have rmn (H) ≤ rmn (G).
Now let γ be any arbitrary radio mean labeling of H whose span is r and range set be denoted by
Define Γ on V (G) by
We claim that Γ satisfies radio mean condition. Let (u1, u2, ⋯ , u
n
) be an arrangement of elements of V (G) such that Γ (u
i
) < Γ (u
j
) , 1 ≤ i < j ≤ n. Note that in this ordering, vertices u1, u2, ⋯ , u
p
belong to V (H), and the remaining vertices up+1, up+2, ⋯ , u
n
belong to V (G) \ V (H).
Consider u
l
, u
m
∈ V (G) where 1 ≤ l ≤ p, p + 1 ≤ m ≤ n .
Hence Γ is a radio mean labeling of G with span r + 2d (n - p). So we have rmn (G) ≤ span (γ) +2d (n - p) . Since γ is chosen arbitrarily, this inequality also holds good if γ is a radio mean labeling with minimum span. Hence rmn (H) ≤ rmn (G) ≤ rmn (H) +2d (n - p).□
Let us illustrate the idea of the theorem 2.1 with an example. Let G be the cycle C8 : v1v2 ⋯ v8 and H be the path P5 : v1v2v3v4v5 which is an induced subgraph of C8 with properties specified in the 2.1 Theorem1. Let us first show that rmn (G) is always greater than or equal to rmn (H). Figure 3 gives radio mean labeling Γ of C8 with minimum span. Consider the labels assigned to vertices v1, v2, v3, v4, v5 which belong to path P5. We can easily see that Γ|V(P5) satisfies radio mean condition and hence it is a radio mean labeling of P5 with span = 8. However, rmn (P5) ≤ span (Γ|V(H)). We have already seen in Fig. 2(d) that rmn (P5) =6. Clearly, rmn (P5) < rmn (C8).

Radio mean labeling of C8 with minimum span.
Now we show that rmn (G) is less than or equal to rmn (H) +2d (n - p). Here, n = 8, p = 5, d = 4. Consider a radio mean labeling γ of P5 with span = rmn (P5) =6 as in Fig. 2(d). Define a labeling Γ of C8 such that Γ (v i ) = γ (v i ) , i = {1, 2, ⋯ , 5} and Γ (v i ) =6 + 8 (i - 5) , i = {6, 7, 8}. We can easily verify that Γ is a radio mean labeling of C8 with span = 30. See Fig.4. However, rmn (C8) =8. Clearly, rmn (C8) < rmn (P5) +8 × (3) =30.

Radio mean labeling of C8 with span = 30.
Theorem 2.1 holds in the case when H is a diametral path of G. Hence we have
Radio mean labelings of the path graph were studied in the paper [22]. Using their results (Theorems 2, 3, and 6) we have improved the bounds on radio mean number of a graph of order n and diameter d ≥ 4. It has already been proved in [12] that graphs of diameter either 2 or 3 are radio mean graceful. Here, we give an alternative proof for the same with the help of Theorems 2 and 3.
See Figs. 5 and 6 for radio mean labelings with minimum span of paths P2 and P3 respectively.

P2 with minimum span Radio mean labeling.

P3 with minimum span Radio mean labeling.
See Figs. 7, 2(d) and 6 for radio mean labelings with minimum span of paths P4, P5 and P6 respectively.

P4 with minimum span Radio mean labeling.

P6 with minimum span Radio mean labeling.
Let (u1, u2, ⋯ , u
n
) be an arrangement of vertices of G such that F (u
i
) < F (u
j
) , 1 ≤ i < j ≤ n where F (u
i
) = i. Here F maps distinct integers to distinct vertices. We shall now check if F satisfies radio mean condition. Consider u
a
, u
b
∈ V (G) where 1 ≤ a, b ≤ d + 1, a ≠ b .
Hence F defines a radio mean labeling of G with span (F) = n. Since rmn (G) is at least the order of G and is the minimum span of all feasible radio mean labelings of G, we have n ≤ rmn (G) ≤ span (F) = n . Therefore, rmn (G) = n .□
We know that for a connected graph G of order n, rmn (G) ≥ n. However, the theorem 2.2 states that if diameter is 1, 2 or 3, G is radio mean graceful. See figures Figs. 9, 10 and 11 for radio mean labeled graphs of order 8 whose diameter d ∈ {1, 2, 3}. In each case, the radio mean labeling shown in figure has a span 8. It is obvious that there does not exist a radio mean labeling with span less than 8 for these graphs as their order are 8. This implies that for each of these graphs of order 8, radio mean number is also 8.

Graph of order 8 and diameter 1 with Radio mean labeling.

Graph of order 8 and diameter 2 with Radio mean labeling.

Graph of order 8 and diameter 3 with Radio mean labeling.
Let (u1, u2, ⋯ , u
n
) be an ordering of vertices of G such that F (u
i
) < F (u
j
). It is clear from the definition of F that F maps distinct integers to distinct vertices. We shall now check if F satisfies radio mean condition. Consider u
a
, u
b
∈ V (G) where 1 ≤ a, b ≤ d + 1, a ≠ b .
Now let us verify if the theorem 5 holds for a graph G with n = 5, d = 4. By this theorem, 5 ≤ rmn (G) ≤6. Consider P5. In Fig.2, we have already discussed the different radio mean labelings of P5 and have shown that rmn (P5) =6. This validates the 2.2 when n = 5, d = 4. Now suppose that n = 8 and d ∈ {4, 5}. If d = 4, 6 ≤ rmn (G) ≤9 and if d = 5, 8 ≤ rmn (G) ≤10. See Fig.12 for a radio mean labeled graph of order 8 and diameter 4 and Fig. 13 for a radio mean labeled graph of order 8 and diameter 5. For either of these graphs, we can see that there do not exist radio mean labelings with span less than the ones shown in figure. Hence the radio mean number of the graph in Fig.12 is 9 and that of the graph in Fig.13 is 10. This shows that the lower and upper bound claimed in the theorem are sharp.

Radio mean labeled graph of order 8 and diameter 4.

Radio mean labeled graph of order 8 and diameter 5.
Consider path P7 : v1v2 ⋯ v7. We radio mean label P7 by theorem 6 as follows: Here m = 7, k = 1, S1 = 3 so that 7 ∈ [4 + S1, 6 + S1 + 1].
(i) v1 ← 3
(ii) v4 ← 4, v6 ← 5
(iii) v7 ← 6
(iv) v5 ← 7, v3 ← 8, v2 ← 9
Hence, rmn (P7) =9. See Fig. 14 for radio mean labeling with minimum span of paths P7.

P7 with minimum span Radio mean labeling.
Let (u1, u2, ⋯ , u
n
) be an arrangement of vertices of G such that F (u
i
) < F (u
j
) , 1 ≤ i < j ≤ n. It is clear that F maps distinct integers to distinct vertices. We shall now check if F satisfies radio mean condition. Consider u
a
, u
b
∈ V (G) where 1 ≤ a, b ≤ d + 1, a ≠ b .
Now let us verify if the theorem 7 holds for a graph G with n = 7, d = 6. Here G is isomorphic to path P7. By theorem 2.2, rmn (P7) =9. See Fig.14. This validates the theorem 2.2 and shows that lower bound is attained. Now we consider two graphs of order 8 with diameter 6 and 7 respectively. See Figs. 15 and 16 where the graphs are radio mean labeled. For either of these graphs, there do not exist radio mean labelings with span less than the ones shown in figure. Hence the radio mean numbers of graphs in Figs.15 and 16 are 10 and 11 respectively. This shows that the upper bound claimed in the theorem is sharp.

Radio mean labeled graph of order 8 and diameter 6.

Radio mean labeled graph of order 8 and diameter 7.
Summarizing the above results, we have that if G is a graph on n vertices with diameter d, then rmn (G) = n : if d = 1, 2, 3, 2d - 2 ≤ rmn (G) ≤ n + d - 3 : if d = 4, 5, 2d - k - 2 ≤ rmn (G) ≤ n + d - k - 3 : if d = 6, 7, 8, 9, ⋯ ,
The limit on the Right-hand side of the above inequalities 1 and 2 is maximum when the diameter d is maximum. Graphs isomorphic to path P
n
on n vertices are the graphs having maximum diameter among the set of all graphs of order n. For P
n
, d = n - 1. We will consider the following cases:
Thus, the maximum radio mean number possessed by any graph of order n is equal to rmn (P n ). The minimum radio mean number possessed by any graph of order n is n. In other words, we have the following theorem.
Illustration: Path P20 possesses the maximum radio mean number among the class of all graphs of order 20
Consider all graphs of order 20. Then 20 ∈ [4 + S k , 6 + S k + k] where S k = 12, k = 3. By Theorem 7, an upper bound of radio mean number of graphs of order 20 is 20 + d - 3 -3 = 14 + d which is maximum when d is maximum. The maximum possible value of diameter, d is 19 when the order is 20. Hence, the upper bound of the radio mean number of graphs of order 20 is 33.
Let P20 : v1v2 ⋯ v20 be a path of order 20. A radio mean labeling of P20 by Theorem 6 is as follows: v1 ⟼ 14, v2 ⟼ 33, v3 ⟼ 32, v4 ⟼ 31, v5 ⟼ 30, v6 ⟼ 15, v7 ⟼ 29, v8 ⟼ 28, v9 ⟼ 27, v10 ⟼ 16, v11 ⟼ 26, v12 ⟼ 25, v13 ⟼ 17, v14 ⟼ 24, v15 ⟼ 18, v16 ⟼ 19, v17 ⟼ 20, v18 ⟼ 21, v19 ⟼ 22, v20 ⟼ 23. So the radio mean number of P20 is 33, the maximum achievable radio mean number by a graph of order 20.
Ponraj et. al in [12] showed that that for any graph G on n vertices with diameter d,
If d = 4, then by 1, rmn (G) ≤ n + 2 and by Theorem 5, rmn (G) ≤ n + 1. If d = 5, then by 1, rmn (G) ≤ n + 3 and by Theorem 5, rmn (G) ≤ n + 2. For any n, if d = 4 or 5, Theorem 5 gives an improved bound on the radio mean number of a graph than the bound obtained in [12].
For any given n, if d ≥ 6, we have n + d - 2 > n + d - k - 3. Note that k is a positive integer whose value depends on the value of d. For any n, if d ≥ 6, Theorem 7 gives an improved bound on the radio mean number of a graph than the bound obtained in [12].
Consider the class of all graphs of order n. Then the diameter, d of these graphs lies between 1 and n - 1. Table 1 compares the upper bound on these graphs’ radio mean number, as derived in section 2.2, with the bound obtained in [12]. We conclude that the upper bound of the radio mean number of any graph, as given in section 2.2, is much less than the bound mentioned in [12].
A comparison of bounds on radio mean number of graphs of order n and diameter d, 1 ≤ d ≤ n - 1, as derived in [12] with the bounds obtained in Section 2.2
Illustration: Improved upper bound of radio mean number of cycle C20
Consider the cycle C20 with 20 vertices namely, v1, v2, ⋯ , v19, v20. For C20, diameter,
See [7] for a detailed listing of all graph labelings and their applications. Let us now see two scenarios in cryptography where radio mean labeling of graphs can be used.
Radio mean labeled graph as cipher graph
In [23], authors have combined techniques of cryptography together with graph labeling for secure communication of messages. The plaintext encrypted by Playfair cipher substitution and transposition technique is sent to the receiver as a sequence of edges or vertices of a cipher graph representing encrypted text. The receiver can decrypt the received sequence of numbers to the original text message using the radio mean labeled cipher graph. The steps involved in encryption and decryption processes are briefly listed below. Encryption process:
Divide the plain text into pairs of letters. Construct a 6 × 6 Playfair matrix and apply Playfair cipher techniques to the given plain text. Interchange positions of characters in cipher text based on a predefined rule. Represent the characters in cipher text after transposition as numbers according to a predefined numbering system. A sequence of edges/vertices of cipher graph representing the output of step 4 is sent to the receiver. Obtain the number sequence corresponding to the received sequence of vertices and edges. Represent the numbers in the sequence obtained in step 1 as characters. Transpose the characters in the output of step 2. Apply substitution rules using the Playfair matrix and obtain the original message.
Decryption process: The receiver can decrypt the text to retrieve the original message as follows:
Radio mean labeled graphs for key generation
Generally, the keys for cryptographic algorithms are generated by strong random number generators. The article [24] proposes the idea of developing keys for cryptographic algorithms using the techniques of radio mean labeling. The algorithm in the scope of this article is Triple DES with keys, K1 and K2. An algorithm to obtain a radio mean labeling of a particular type of caterpillar tree, C, is provided in the article. Keys are generated as follows: Pick two integers as the order, n > 0 and diameter, d ≤ n - 1 of the caterpillar tree C. Let c1c2 ⋯ cd+1 be a path on d + 1 vertices. The vertex c2 is made adjacent to n - (d + 1) vertices, namely, cd+2, cd+3, ⋯ , c
n
. The resultant graph is C. Radio mean label C using the proposed algorithm. Key K1 is the labels of vertices belonging to the central path of C. Key K2 is the labels of vertices not belonging to the central path of C. Sender generates two keys. If Sender may send the cipher text, Upon receiving the cipher text, The original message,
Let
Decryption process:
Conclusion
Finding any radio mean labeling of a given graph is a non-trivial task and so is labeling it with minimum radio mean number. In this paper, the authors have derived upper and lower bounds for the radio mean number of a given graph in terms of its order and diameter. For any connected graph G of order n and diameter d, we proved that
rmn (G) = n : if d = 1, 2, 3, 2d - 2 ≤ rmn (G) ≤ n + d - 3 : if d = 4, 5, 2d - k - 2 ≤ rmn (G) ≤ n + d - k - 3 : if d = 6, 7, 8, 9, ⋯ ,
It is also observed that the minimum and maximum radio mean number achieved by any graph of order n are n and rmn (P n ), respectively. All graphs of diameters 1,2 and 3 are radio mean graceful. However, these are not the only graphs on n vertices with radio mean number n. Characterization of such graphs is an open problem. For any n, whether every integer between n and rmn (P n ) is the radio mean number of some graph of order n is another open problem. Articles [23, 24] discuss applications of radio mean labeling technique, and more research is expected in the future.
Footnotes
Acknowledgment
The authors wish to extend their special thanks to Prof. Gyula O. H. Katona for his valuable remarks on this article when he visited Amrita Vishwa Vidyapeetham, India, in July 2022. In addition, the authors thank all anonymous referees for their suggestions and comments.
