Tag Archive: 'ns3 projects'
With increased in digitization the amount of homogeneous, unstructured, semi-structured, structured or heterogeneous data being created and stored is exploding is collectively called “Dataspace”. Data being generated from various heterogeneous sources like, digital images, audio, video, online transactions, online social media, data from sensor nodes, click streams for different domains including, retails, medical, healthcare, energy, and day to day […]
In this paper, we extend our previous work on content retrieval in Disruption Tolerant Networks (DTNs) to support cooperative caching. Our caching scheme can adapt to the unstable network topology in DTNs, and enable the sharing and coordination of cached data among multiple nodes to reduce data access latency. Our key idea is to cache data at cluster head […]
Large urban areas are nowadays covered by millions of wireless devices, including not only cellular equipment carried by their inhabitants, but also several ubiquitous and pervasive platforms used to monitor and/or actuate on a variety of phenomena in the city area. Whereas the former are increasingly powerful devices equipped with advanced processors, large memory capacity, […]
When disaster strikes, human lives may depend upon emergency organizations’ rapid establishment of Situation Awareness (SAW) to take the appropriate decisions and actions. Recently, systems emerged, enabling humans to act as crowd sensors contributing valuable crisis information via mobile devices through social media channels. This should allow enhancing situational pictures gained through traditional SAW systems, as employed in control […]
A smart city aims to improve urban functions and provided services, being often perceived as a living urban fabric, in which connected urban citizens, acting as active sensors, have the capacity to contribute even more efficiently to the spatial intelligence of cities. This “immaterial” dimension is related with the need that smart cities have to assess […]
User-contributed or crowd-sourced information is becoming increasingly common. In this paper, we consider the specific case of participatory sensing whereby people contribute information captured bysensors, typically those on a smartphone, and share the information with others. We propose a new metric called quality of contributed service (QCS) which characterizes the information quality and timeliness of […]
We introduce a new tendency measure for a probability mass function (pmf) referred to as “tenor,” and defined in terms of the phase of the first non-zero frequency of the discrete Fourier transform of the pmf. This statistic is in the vicinity of the region of highest probability of the pmf. Unlike mean, tenor is […]
Developing science-based strategies to best balance estuarine use and resilience is critical to a sustainable earth, but is also challenging. To meet the challenge, we created for the Columbia River estuary, in the United States, a distinctive scientific infrastructure that we term “collaboratory.” We define collaboratory as a networked integration of sensors, platforms, models, data, analyses, and collaboration […]
Location-aware applications have been used widely with the assistance of the latest positioning features in Smart Phone such as GPS, AGPS, etc. However, all the existing applications gather users’ geographical data and transfer them into the pertinent information to give meaning and value. For this kind of solutions, the user’s privacy and security issues might […]
Big data as name implies that data that’s in large as nature, is known as big data. Big data is used to describe a large volume of structure way. Big Data concern large-amount, complex, growing data sets with multiple, autonomous sources, networking, data storage, and data collection capacity, These data are rapidly expanding in all science […]
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