International audienceThe huge increase of mobile traffic in the latest years has put cellular networks under pressure. To face this situation, operators propose to adopt data offloading techniques based on device-to-device communications to alleviate their infrastructure. In this paper, we consider a specific scenario in which the cellular channel has severe capacity limitations. Existing offloading techniques focus on the underlying communication mechanisms and fail to properly manage the interest users have in content. The straightforward approach to tackle this issue is to rely on the content-centric networking (CCN) paradigm. Nevertheless, the hybrid nature of our scenario makes this vision challenging—what should circulate through the cellular channel and what should remain within the opportunistic network? In this paper, we investigate our target scenario and identify a number of challenges therein. We finally define a high-level architecture that we intend to instantiate in the case of a public infrastructure scenario
At a time when operators struggle with unprecedented mobile data growth, saving cellular resources is of utmost importance. The first traffic that we must get rid of is redundant traffic. This happens, for example, when popular data must be disseminated to a population of subscribers. We propose SCoD, a strategy that benefits from the delay-tolerance of some applications to defer transmissions to appropriate instants. The idea is to wait for nodes to gather around a minimum number of access points so that the total number of transmissions is reduced. SCoD leverages as much as possible node mobility for the sake of clustering; to this end, SCoD relies on different guiding functions that trigger, whenever appropriate, a transmission. We assess the performance of our strategy by running simulations on a realistic vehicular dataset and find out that it leads to significant improvements when compared with traditional (instantaneous) dissemination strategies.
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