Proceedings of the 22nd International Workshop on Network and Operating System Support for Digital Audio and Video 2012
DOI: 10.1145/2229087.2229098
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A content replication scheme for wireless mesh networks

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Cited by 11 publications
(11 citation statements)
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“…Al-Arnaout et al state that the cost to transfer data in wireless networks is higher than the cost to transfer data in wired networks [4]. The reasons to the higher cost are the contention for the channel and channel interferences.…”
Section: Ccn-based Wireless Mesh Networkmentioning
confidence: 99%
See 1 more Smart Citation
“…Al-Arnaout et al state that the cost to transfer data in wireless networks is higher than the cost to transfer data in wired networks [4]. The reasons to the higher cost are the contention for the channel and channel interferences.…”
Section: Ccn-based Wireless Mesh Networkmentioning
confidence: 99%
“…The information-centric networking (ICN) paradigm is a solution for both problems cited above in WMNs [4]- [6]. Information-Centric Wireless Mesh Networks focus on the content delivery regardless of the content physical location.…”
Section: Introductionmentioning
confidence: 99%
“…In our initial work on this subject [7], we proposed a content replication scheme for WMNs that forms a P2P overlay network composed only of mesh routers. Mesh clients are decoupled from the P2P overlay.…”
Section: Related Workmentioning
confidence: 99%
“…In our previous work, we proposed a replication scheme for WMNs that adapts the number of object replicas over time based on object size and popularity [7]. The scheme builds an overlay P2P network formed by MRs.…”
Section: Introductionmentioning
confidence: 99%
“…Other link-quality routing metrics prove to be more efficient than the simple Hop-Count such as Expected Transmission Count (ETX) [4], Expected Transmission Time (ETT) [5] and Minimum Loss (ML) [6]. In a prior work [7], we proposed a replication scheme for WMNs that builds an overlay P2P network formed by MRs. The scheme dynamically adapts the number of object replicas over time based on popularity in a distributed and scalable fashion that exploits workload locality in WMNs by finding the number of replicas needed per object (e.g.…”
Section: Introductionmentioning
confidence: 99%