2013
DOI: 10.1016/j.ins.2012.12.044
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Efficient processing of requests with network coding in on-demand data broadcast environments

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Cited by 28 publications
(30 citation statements)
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References 24 publications
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“…6 shows the I2V broadcast productivity of algorithms under different traffic scenarios. As demonstrated in previous work [24], the effectiveness of broadcast effect increases by giving preference of scheduling hot data items. MRF always schedules the data item with the most pending requests.…”
Section: Simulation Resultssupporting
confidence: 55%
“…6 shows the I2V broadcast productivity of algorithms under different traffic scenarios. As demonstrated in previous work [24], the effectiveness of broadcast effect increases by giving preference of scheduling hot data items. MRF always schedules the data item with the most pending requests.…”
Section: Simulation Resultssupporting
confidence: 55%
“…NC has shown great potential to improve the bandwidth efficiency of wireless broadcast systems. The design of NC-based on-demand data broadcast schemes has received significant research interests and many network coding-based data scheduling algorithms have been proposed for on-demand single-item requests environment [35][36][37][38][39][40]. Hou studied a model that jointly considers the application requirements on traffic patterns, delay constraints, and throughput requirements, as well as wireless limitations, including the unreliable wireless links and the lack of feedback information.…”
Section: Networkmentioning
confidence: 99%
“…Based on this model, a general framework was developed for designing feasibility-optimal broadcasting policies that apply to systems with various network coding mechanisms [35]. In [36], a coding assisted scheduling algorithm for on-demand data broadcast named ADC-1 and its enhanced version ADC-2 are proposed for single-item requests environment. In [37], Zhan et al propose a generalized encoding framework for incorporating network coding into data scheduling algorithms for on-demand broadcast.…”
Section: Networkmentioning
confidence: 99%
“…Although great efforts have been devoted to investigating data dissemination in conventional mobile computing systems [Hu and Chen 2009;Aksoy and Franklin 1999;Xu et al 2006;Chen et al 2013], they are not sufficient when considering the unique requirements and challenges of data scheduling arising in VCPSs. First, the time constraint on information retrieval in vehicular networks is more stringent than many mobile applications due to the high mobility of vehicles.…”
Section: Introductionmentioning
confidence: 99%