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Opportunistic Cognitive Networks
Published in Anna Maria Vegni, Dharma P. Agrawal, Cognitive Vehicular Networks, 2018
Valeria Loscrí, Maria Vegni, Dharma P. Agrawal
An important topic in opportunistic networks is represented by data dissemination. Indeed, this type of networks is characterized with very unstable topologies and there are several approaches for data forwarding. To address with this issue, many different directions can be considered. Several contributions propose different data-centric approaches for data dissemination where the data is proactively and cooperatively disseminated. In this type of networks, it can occur very frequently that sources and receivers are not aware of each other, and for this reason main data dissemination approaches are based on public/subscribe model Finally, other kinds of proposals belong to the opportunistic data-dissemination techniques, based on social networks, gossiping, epidemic algorithms, etc. The common point of all these mechanisms is that there is no solution guaranteeing data delivery.
Data Gathering and Data Management Techniques in Wireless Sensor Networks
Published in Shafiullah Khan, Al-Sakib Khan Pathan, Nabil Ali Alrajeh, Wireless Sensor Networks, 2016
Data dissemination is defined as the broadcasting process in which a monitor head node sends or receives the data from the neighboring CHs or BS. In a large-scale sensor network, when congestion occurs, the data packets are split into small-sized packets and disseminated to the neighboring SNs or CHs. Data gathering protocols collect the data based on the direction of dissemination.
Opportunistic Networking: An Application
Published in Nazmul Siddique, Syed Faraz Hasan, Salahuddin Muhammad Salim Zabir, Opportunistic Networking, 2017
Abdolbast Greede, Stuart M. Allen
Data forwarding can be defined as the process of moving data from the source node to the specific destination node. The forwarding process could be single hop or multihop to reach the destination node. Data dissemination can be defined as the process of moving data objects from the source node to other nodes that are interested in the data object.
Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges
Published in IETE Technical Review, 2018
Ahmed Aliyu, Abdul Hanan Abdullah, Omprakash Kaiwartya, Yue Cao, Mohammed Joda Usman, Sushil Kumar, D. K. Lobiyal, Ram Shringar Raw
However, a number of issues are still not been thoroughly explored by researchers, which include data dissemination to cloud, data offloading, data-centric routing, intermittent connection, VCN, VANETs application and deployment, security, and privacy-aware data sharing. In conclusion, CC-V could not be fully implemented, except if governments and automobile industries would come together to utilize the benefit of the framework of CC-V. Thus, CC-V could be the next paradigm shift that offers feasible and technologically viable and smart solutions for traffic issues with economical gains.