2018
DOI: 10.1007/s12652-018-0808-1
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PCSM: an efficient multihop proximity aware clustering scheme for mobile peer-to-peer systems

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Cited by 13 publications
(6 citation statements)
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“…For this purpose, the authors in [60] presented a Light Weight Efficient Cluster (LWEC) based routing model for MANETs in which the life of cluster-head is prolonged by reducing the unnecessary load. Also, an efficient multi-hop proximity aware clustering scheme for mobile P2P systems (PCSM) is presented in [61] which based on the physical proximity of peers. This strategy aims at reducing the gap between the overlay of P2P and the network layer.…”
Section: Comparison Of the Recent Approaches Regarding Manetsmentioning
confidence: 99%
“…For this purpose, the authors in [60] presented a Light Weight Efficient Cluster (LWEC) based routing model for MANETs in which the life of cluster-head is prolonged by reducing the unnecessary load. Also, an efficient multi-hop proximity aware clustering scheme for mobile P2P systems (PCSM) is presented in [61] which based on the physical proximity of peers. This strategy aims at reducing the gap between the overlay of P2P and the network layer.…”
Section: Comparison Of the Recent Approaches Regarding Manetsmentioning
confidence: 99%
“…The compound characteristic data since dissimilar sensor nodes can be received via adaptive weighted evidence theory. Rahmani and Benchaïba (2019) introduced Mobile peerto-peer method depends on the physical proximity of peers as well as dilutes the divergence among the peer overlay as well as the system layer. It incorporates three components to permit the peer to economically choose the cluster to connect, explicitly the amount of physical hops as well as the accessibility.…”
Section: Introductionmentioning
confidence: 99%
“…Amirazodi et al 17 proposed an adoptive super-peer selection approach based on peers' capacity that is computed locally through learning automata. Recently, Rahmani et al 18 developed a proximity-based cluster overlay for mobile peer-to-peer systems to minimize communication overhead and network traffic.…”
Section: Related Workmentioning
confidence: 99%