We propose a novel epidemic routing policy, named energy optimal epidemic routing, for delay tolerant networks (DTNs). By investigating the tradeoff between delay and energy, we found the optimal transmission range as well as the optimal number of infected nodes for the minimal energy consumption, given a delivery requirement, specifically delay bound and delivery probability to the destination. We derive an analytic model of the Binary Spraying routing to find the optimal values, describing the delay distributions with respect to the number of infected nodes.
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Jeonggyu KIM, Jongmin SHIN, Dongmin YANG, Cheeha KIM, "Energy Optimal Epidemic Routing for Delay Tolerant Networks" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 12, pp. 3927-3930, December 2009, doi: 10.1587/transcom.E92.B.3927.
Abstract: We propose a novel epidemic routing policy, named energy optimal epidemic routing, for delay tolerant networks (DTNs). By investigating the tradeoff between delay and energy, we found the optimal transmission range as well as the optimal number of infected nodes for the minimal energy consumption, given a delivery requirement, specifically delay bound and delivery probability to the destination. We derive an analytic model of the Binary Spraying routing to find the optimal values, describing the delay distributions with respect to the number of infected nodes.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3927/_p
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@ARTICLE{e92-b_12_3927,
author={Jeonggyu KIM, Jongmin SHIN, Dongmin YANG, Cheeha KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy Optimal Epidemic Routing for Delay Tolerant Networks},
year={2009},
volume={E92-B},
number={12},
pages={3927-3930},
abstract={We propose a novel epidemic routing policy, named energy optimal epidemic routing, for delay tolerant networks (DTNs). By investigating the tradeoff between delay and energy, we found the optimal transmission range as well as the optimal number of infected nodes for the minimal energy consumption, given a delivery requirement, specifically delay bound and delivery probability to the destination. We derive an analytic model of the Binary Spraying routing to find the optimal values, describing the delay distributions with respect to the number of infected nodes.},
keywords={},
doi={10.1587/transcom.E92.B.3927},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Energy Optimal Epidemic Routing for Delay Tolerant Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3927
EP - 3930
AU - Jeonggyu KIM
AU - Jongmin SHIN
AU - Dongmin YANG
AU - Cheeha KIM
PY - 2009
DO - 10.1587/transcom.E92.B.3927
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2009
AB - We propose a novel epidemic routing policy, named energy optimal epidemic routing, for delay tolerant networks (DTNs). By investigating the tradeoff between delay and energy, we found the optimal transmission range as well as the optimal number of infected nodes for the minimal energy consumption, given a delivery requirement, specifically delay bound and delivery probability to the destination. We derive an analytic model of the Binary Spraying routing to find the optimal values, describing the delay distributions with respect to the number of infected nodes.
ER -