2015
DOI: 10.1109/tpds.2014.2320922
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Efficient Data Query in Intermittently-Connected Mobile Ad Hoc Social Networks

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Cited by 40 publications
(20 citation statements)
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“…Liu et al 4 focused on the efficient data query in Intermittently Connected Mobile Ad Hoc Social Networks. A disadvantage of ant colony algorithm has been presented in Dominguez and Cruz-Corte´s.…”
Section: Related Workmentioning
confidence: 99%
“…Liu et al 4 focused on the efficient data query in Intermittently Connected Mobile Ad Hoc Social Networks. A disadvantage of ant colony algorithm has been presented in Dominguez and Cruz-Corte´s.…”
Section: Related Workmentioning
confidence: 99%
“…We can classify search schemes as content-oblivious [1,10,13,14] and content-aware [2,3,7,12] based on their consideration of content characteristics in tuning the search parameters (Table 1). Generally speaking, content-oblivious schemes do not adapt the search strategy according to the requested content, but focus on routing and hitting the content by ensuring good coverage of the potential content providers.…”
Section: Related Workmentioning
confidence: 99%
“…The hurdles of lack of awareness in opportunistic networks are mitigated by redundancy, that is, opportunistic protocols replicate messages and route them in parallel rather than routing a single copy and retransmitting it in case of failures. Some schemes introduce a limited number of replicas at the time of query generation and increase redundancy on the fly at each node [12], whereas some flood the query first and later reduce redundancy by terminating the queries [13,14]. A query may reach a provider but have very little time before expiry for content delivery.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The proposed distributed mobile HIP proxy (DMHP) enables host mobility in a flat network architecture and addresses problems of handover delay, scalability, single point of failure, packet loss, and signaling overhead. Further enhancement can be added to our proposal, DMHP, by (1) using an optimization model to provide useful theoretical insights and a protocol of distributed data query such as one presented in [5] and (2) using a distributed online algorithm that employs an optimal stopping theory to let nodes make adaptive, online decisions on whether this communication opportunity should be exploited to deliver data packets in each meeting event as explained in [6]. Although the method in [5] is developed to efficiently allow data query in a Mobile Ad hoc Social Network (MASON), many of its ideas can be employed by DMHP, i.e., designed for infrastructure networks without centralized host mobility support, that may lead to further improvement.…”
Section: Introductionmentioning
confidence: 99%