2015 IEEE Symposium on Computers and Communication (ISCC) 2015
DOI: 10.1109/iscc.2015.7405599
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Epidemic information dissemination controlled by wireless channel awareness

Abstract: We propose a cross-layer scheme for regulating power consumption in energy-constrained ad hoc wireless networks where information is disseminated in an adaptive epidemic manner. A time-optimized mechanism based on the Optimal Stopping Theory utilizes noise fluctuations to trigger the adaptation of transmission characteristics in a fashion that a perceived net reward is maximized. This results in data delivery being enhanced while energy cost remains modest.Keywords-epidemic information dissemination; adaptive … Show more

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Cited by 2 publications
(4 citation statements)
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“…However, assuming γ = min j (γ i,j ) or γ = max j (γ i,j ) would be more conservative or aggressive approach, respectively. The utility function can be low-pass filtered to give an average over a sliding temporal past window (6). Different window sizes define three different flavors of the scheme: aggressive, conservative and lazy flavor for window duration equal to 1 round, 3 rounds and equal to the node status lifetime.…”
Section: Utility Functionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, assuming γ = min j (γ i,j ) or γ = max j (γ i,j ) would be more conservative or aggressive approach, respectively. The utility function can be low-pass filtered to give an average over a sliding temporal past window (6). Different window sizes define three different flavors of the scheme: aggressive, conservative and lazy flavor for window duration equal to 1 round, 3 rounds and equal to the node status lifetime.…”
Section: Utility Functionmentioning
confidence: 99%
“…We build on previous research with and without optimal stopping logic [6], [7], with the following key innovations:…”
Section: Introductionmentioning
confidence: 99%
“…If these are not fully satisfied, then the obtained solutions are not necessarily optimal. This is displayed in [3] through the use of the one-stage-look-ahead, (1sla) optimal stopping rule. Improvement over non-adaptive schemes in terms of energy cost save is possible.…”
mentioning
confidence: 99%
“…Improvement over non-adaptive schemes in terms of energy cost save is possible. Broad network infection is still as effective [3].…”
mentioning
confidence: 99%