Abstract
In this chapter, we study the connectivity of one-dimensional small to medium sized networks with and without infrastructure support. Different from the connectivity of large static networks and dynamic networks where asymptotic analysis is a major tool used in the analysis, for small to medium sized networks, the number of nodes in the network is not necessarily large enough to warrant the use of asymptotic analysis. Therefore, for small to medium sized networks, our focus is on characterizing three related connectivity measures, collectively called the probabilities of k-hop connection or hop count statistics, viz., 1) the probability that a randomly selected node is k-hops apart from another randomly selected node, i.e., the length of the shortest path from the first node to the second node measured by the number of hops is k; 2) the probability that a node \(\boldsymbol{x}\) apart from another node is connected to that node in exactly k hops; and 3) the spatial distribution of the nodes k-hops apart from another designated node. In this chapter, we investigate the aforementioned three connectivity measures for one-dimensional small to medium sized networks with and without infrastructure support.
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Mao, G. (2017). Connectivity of One-Dimensional Small to Medium Sized Networks. In: Connectivity of Communication Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-52989-9_11
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DOI: https://doi.org/10.1007/978-3-319-52989-9_11
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