2017 International Conference on Emerging Trends &Amp; Innovation in ICT (ICEI) 2017
DOI: 10.1109/etiict.2017.7977020
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A survey on PROPHET based routing protocol in delay tolerant network

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Cited by 24 publications
(18 citation statements)
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“…We conduct extensive simulations based on the Opportunistic Network Environment (ONE) simulator, 19 which is specifically designed for evaluating DTN routing and application protocol. [20][21][22][23][24][25][26][27][28] ONE combines routing protocols with mobility modeling and visualization in one package that is easily extensible and provides a rich set of reporting and analyzing modules. A detailed description of the simulator, the ONE simulator project, and the source code are available in Kera¨nen et al 19 ONE simulator is used to compare seven well-known DTN protocols with CASPaR and its variants.…”
Section: Simulation Environments and Resultsmentioning
confidence: 99%
“…We conduct extensive simulations based on the Opportunistic Network Environment (ONE) simulator, 19 which is specifically designed for evaluating DTN routing and application protocol. [20][21][22][23][24][25][26][27][28] ONE combines routing protocols with mobility modeling and visualization in one package that is easily extensible and provides a rich set of reporting and analyzing modules. A detailed description of the simulator, the ONE simulator project, and the source code are available in Kera¨nen et al 19 ONE simulator is used to compare seven well-known DTN protocols with CASPaR and its variants.…”
Section: Simulation Environments and Resultsmentioning
confidence: 99%
“…Even-though mobility is considered as the fundamental facilitator for information dissemination in opportunistic networks, recent works have revealed that current opportunistic protocols perform less than expected for a sparsely mobile networks with nondeterministic movement [7]. For instance, Epidemic [7], and PRoPHET [8], offer a high data delivery ratio at the expense of high network overhead and latency. Spray and Wait (SnW) on the other hand results in low latency but high network overhead [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, Epidemic [7], and PRoPHET [8], offer a high data delivery ratio at the expense of high network overhead and latency. Spray and Wait (SnW) on the other hand results in low latency but high network overhead [7,8]. Currently, several OMN based wildlife monitoring projects are proposed for sensor data gathering, e.g.…”
Section: Introductionmentioning
confidence: 99%
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