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The Qualnet simulator [17] is employed to construct the proposed model to simulate efficient data dissemination based on user preference.
Authors in [11] presented a paradigm for wireless video content dissemination based on caching popular files in mobile users with no additional infrastructure cost.
In [26], authors present the enhanced message dissemination based on roadmaps (eMDR), a scheme that mitigates the broadcast storm disconnected networks in real urban scenarios.
In addition, this proposed model sets priorities in data dissemination, based on predetermined conditions, such as a user's preferences, and corresponding responses, such as reports.
In contrast, our proposed model makes a feature of adaptive data dissemination based on self-adjusting the various parameters in terms of the actual network conditions.
The main proactive protocols are OLSR (optimized link state routing) [7], DSDV (destination-sequenced distance-vector) [21], and TBRPF (topology dissemination based on reverse-path forwarding) [22].
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Alone, the values of vector competence and EIPs are informative, however we detected highly variable times to initial and maximum dissemination and dissemination rates based on the strain of dengue virus.
To this end, in this paper we propose a social-based data dissemination scheme, based on a cognitive heuristic, known as the Social Circle Heuristic.
In order to address these two problems we propose a novel content dissemination architecture based on an overlay of space-based containers.
Based on this, we propose a data dissemination mechanism based on emergency broadcasting and on-demand unicast for inquiry message.
Emerging Internet of Things (IoT) services require efficient content dissemination mechanisms based on the publish-subscribe model in static and mobile scenarios.
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