2 research outputs found
Narrowband IoT: An Appropriate Solution for Developing Countries
Internet of things (IoT) is very much attractive for several sensor based
applications. It provides large coverage of the services with small amount of
resources. Its applications span from the ordinary scenarios such as sensing in
the common digital ecosystem to the far more complicated processes of modern
manufacturing, agriculture, security provisioning, location tracking and health
care. Several types of IoTs have been proposed for the recent applications.
Narrowband IoT (NBIoT) is one of the economical versions of the IoTs. It is a
low power wide area network technology and thus suitable for resource limited
scenarios. In the developing countries, the resources are scarce and economical
solutions are always preferable. Therefore, NBIoT is an attractive solution for
the developing countries. In this article, we present its features and
functions which make it suitable for developing countries. We also provide
several sector based analysis which are suitable for the NBIoT deployment.Comment: 5 Pages, 3 Figures, Conference paper, IoT for developing countrie
Improving Software Defined Cognitive and Secure Networking
Traditional communication networks consist of large sets of vendor-specific
manually configurable devices which are hardwired with specific control logic
or algorithms. The resulting networks comprise distributed control plane
architectures that are complex in nature, difficult to integrate and operate,
and are least efficient in terms of resource usage. However, the rapid increase
in data traffic requires an integrated use of diverse access technologies and
autonomic network operations with increased efficiency. Therefore, the concepts
of Software Defined Networking (SDN) are proposed that decouple the network
control plane from the data-forwarding plane. The SDN control plane can
integrate a diverse set of devices, and tune them at run-time through
vendor-agnostic programmable Application Programming Interfaces (APIs). This
thesis proposes software defined cognitive networking to enable intelligent use
of network resources. Different radio access technologies, including cognitive
radios, are integrated through a common control platform to increase the
overall network performance. The architectural framework of software defined
cognitive networking is presented alongside the experimental performance
evaluation. Since SDN enables applications to change the network behavior and
centralizes the network control plane to oversee the whole network, it is
highly important to investigate security of SDNs. Therefore, this thesis finds
potential security vulnerabilities in SDN, studies proposed security platforms
and architectures for those vulnerabilities, and presents future directions for
unresolved security vulnerabilities. Furthermore, this thesis also investigates
the potential security challenges and their solutions for the enabling
technologies of 5G, such as SDN, cloud technologies, and virtual network
functions, and provides key insights into increasing the security of 5G
networks.Comment: 85 pages, 12 figures, PhD thesi