2013
DOI: 10.1007/s00500-013-1207-3
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Multi-objective performance optimization of a probabilistic similarity/dissimilarity-based broadcasting scheme for mobile ad hoc networks in disaster response scenarios

Abstract: decentralized communications quickly and using common devices like mobile phones. Broadcasting is the main mechanism used to disseminate information in all-to-all fashion in ad hoc networks. The objective of this paper is to optimize a broadcasting scheme based on similarity/dissimilarity coefficient designed for disaster response scenarios through a multi-objective optimization problem in which several performance metrics such as reachability, number of retransmissions and delay are optimized simultaneously.

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Cited by 32 publications
(22 citation statements)
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“…In Figure 4, the black dotted line (6) shows that the evacuee algorithm has little power without knowledge exchange. In contrast, the red solid line (1) shows the power of knowledge exchange, with a majority of people finishing evacuation within 20 minutes.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In Figure 4, the black dotted line (6) shows that the evacuee algorithm has little power without knowledge exchange. In contrast, the red solid line (1) shows the power of knowledge exchange, with a majority of people finishing evacuation within 20 minutes.…”
Section: Resultsmentioning
confidence: 99%
“…Some studies have been conducted to determine how information is exchanged between evacuees and the headquarters [3] [4] [5]. The latter can build an ad hoc network using unmanned aerial vehicles, drones, or rescue teams carrying wireless devices, if needed [6].…”
Section: Introductionmentioning
confidence: 99%
“…The transitional PC and routing link was chosen by the administrator of network and professionals in stable network condition. At the point when the network changes always, the undertaking of finding the course was mechanized utilizing diminished investment of thresholds [7].…”
Section: B Batman (Better Approach To Mobile Adhoc Networking)mentioning
confidence: 99%
“…In [32], the authors use the widely used NSGA-II multiobjective algorithm [72] to optimize the design of a broadcasting algorithm based on similarity/dissimilarity coefficients. They maximize the reachability and minimize the number of retransmissions and the delay of the broadcasting algorithm.…”
Section: Broadcasting Algorithmsmentioning
confidence: 99%