2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) 2015
DOI: 10.1109/iciiecs.2015.7193069
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Analyzing the effectiveness of cluster based H-MANET for scaling number of nodes

Abstract: The hybrid mobile ad hoc network (H-MANET) consist of self organized mobile nodes connected over radio frequency (RF) and free space optics (FSO) based wireless links. Due to limited transmission range of RF based network, the communication between two RF based MANETs are carried out by using FSO link. We have design two different clusters of RF based MANETs. Both clusters are connected by two FSO nodes, which are also a part of an individual RF based network. In our research work, we have analyze the performa… Show more

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Cited by 2 publications
(2 citation statements)
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“…The information exchange associated when local events, such as the movement or energy drain of a mobile node takes place. Some CAs reform the clusters completely over the whole network and the CHs are re-elected [25]- [33]. The changes in one CH may cause the whole network to re-cluster and the CHs are re-elected [32].…”
Section: A Cost Of Clusteringmentioning
confidence: 99%
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“…The information exchange associated when local events, such as the movement or energy drain of a mobile node takes place. Some CAs reform the clusters completely over the whole network and the CHs are re-elected [25]- [33]. The changes in one CH may cause the whole network to re-cluster and the CHs are re-elected [32].…”
Section: A Cost Of Clusteringmentioning
confidence: 99%
“…Cluster based routing in MANETs can be differently classified. It may be classified as one hop clustering [25], [29], [30], [40], [45]- [53], multi hop clustering [28], [31], [34]- [36], [39], [42], [43], [54], [55], transmission range or signal strength based clustering [32], [33], [56]- [58] and zone based clustering [38]. MANETs can be classified based on a mobility model such as group mobility [51], [56], [59], [60], regular mobility [46] and random mobility [25], [28], [29], [31], [34], [35], [39], [40], [42], [44], [45], [48], [50], [52], [53], [55], [58], [61]- [64].…”
Section: How To Classify Clustering Schemes?mentioning
confidence: 99%