2015
DOI: 10.1016/j.adhoc.2014.07.026
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A centrality-based topology control protocol for wireless mesh networks

Abstract: Nodes in wireless multi-hop networks establish links with their neighbors, which are used for data transmission. In general, in this kind of networks every node has the possibility of acting as a router, forwarding the received packets when they are not the final destination of the carried data. Due to the routing protocol procedures, when the network is quite dense the overload added by the routing management packets can be very high. To reduce the effects of this overload a topology control mechanism can be … Show more

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Cited by 33 publications
(25 citation statements)
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References 36 publications
(37 reference statements)
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“…In a social graph, the use of centrality helps to explain important nodes. Freeman along with Vazquez-Rodas and Luis introduced multiple methods to measure centralities that are based on degree, betweenness, and closeness [30], [31]. A brief introduction to centrality measurement is given in the following sub-sections, and Figure 6 illustrates the concepts of different centrality models.…”
Section: Centralitymentioning
confidence: 99%
“…In a social graph, the use of centrality helps to explain important nodes. Freeman along with Vazquez-Rodas and Luis introduced multiple methods to measure centralities that are based on degree, betweenness, and closeness [30], [31]. A brief introduction to centrality measurement is given in the following sub-sections, and Figure 6 illustrates the concepts of different centrality models.…”
Section: Centralitymentioning
confidence: 99%
“…Quite surprisingly, they were not applied to multi-hop networks up to recent times [4]. Centrality metrics can be used to enhance network monitoring and routing [20], intrusion detection and firewalling [21], [22], and topology control [23]. There are several metrics based on different centrality "concepts".…”
Section: Related Workmentioning
confidence: 99%
“…The structural properties of the LVPLC networks are relatively complex. This study introduces a small number of topological measurements to compute the station importance (i.e., centrality degree, closeness degree, betweenness degree, clustering coefficient, and average shortest path [25]). The value of the closeness degree is the reciprocal of the average distance between each station pair:…”
Section: Assumptionmentioning
confidence: 99%