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Advances and emerging challenges in cognitive internet-of-things
The evolution of IoT devices and their adoption in new generation intelligent systems has generated a huge demand for wireless bandwidth. This bandwidth problem is further exacerbated by another characteristics of IoT applications, i.e. IoT devices are usually deployed in massive number, thus leading to an awkward scenario that many bandwidth-hungry devices are chasing after the very limited wireless bandwidth within a small geographic area. As such, cognitive radio has received much attention of there search community as an important means for addressing the bandwidth needs of IoT applications. When enabling IoT devices with cognitive functionalities including spectrum sensing, dynamic spectrum accessing, circumstantial perceiving and self-learning, one will also need to fully study other critical issues such as standardization, privacy protection and heterogeneous coexistence. In this paper, we investigate the structural frameworks and potential applications of cognitive IoT. We further discuss the spectrum-based functionalities and heterogeneity for cognitive IoT. Security and privacy issues involved in cognitive IoT are also investigated. Finally, we present the key challenges and future direction of research on cognitiveradio-based IoT networks
CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines
Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective.
The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines.
From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research
Privacy fatigue: The effect of privacy control complexity on consumer electronic information disclosure
When online social networks change privacy control features (i.e. methods of sharing consumer information), the result is often media attention and public outcry. Facebook introduced new privacy controls in 2009 causing the Electronic Frontier Foundation to accuse them of pushing users to disclose more information than ever before. However, there is little research to indicate that such practices are effective. Although research on privacy control designs is emerging, few studies adopt theoretical bases or empirically test the results of the design. This study fills a theoretical and methodological gap in the context of privacy controls. We adopt feature fatigue theory from the marketing literature to explain the effects of privacy control complexity on consumer self-disclosure behavior. We test our model with a unique longitudinal field experiment wherein participants are randomly assigned to various treatments of privacy control complexity. We found support for our theoretical extension we term privacy fatigue
Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control
In recent years, the exponential proliferation of smart devices with their
intelligent applications poses severe challenges on conventional cellular
networks. Such challenges can be potentially overcome by integrating
communication, computing, caching, and control (i4C) technologies. In this
survey, we first give a snapshot of different aspects of the i4C, comprising
background, motivation, leading technological enablers, potential applications,
and use cases. Next, we describe different models of communication, computing,
caching, and control (4C) to lay the foundation of the integration approach. We
review current state-of-the-art research efforts related to the i4C, focusing
on recent trends of both conventional and artificial intelligence (AI)-based
integration approaches. We also highlight the need for intelligence in
resources integration. Then, we discuss integration of sensing and
communication (ISAC) and classify the integration approaches into various
classes. Finally, we propose open challenges and present future research
directions for beyond 5G networks, such as 6G.Comment: This article has been accepted for inclusion in a future issue of
China Communications Journal in IEEE Xplor
Information-Centric Design and Implementation for Underwater Acoustic Networks
Over the past decade, Underwater Acoustic Networks (UANs) have received extensive attention due to their vast benefits in academia and industry alike. However, due to the overall magnitude and harsh characteristics of underwater environments, standard wireless network techniques will fail because current technology and energy restrictions limit underwater devices due to delayed acoustic communications. To help manage these limitations we utilize Information-Centric Networking (ICN). More importantly, we look at ICN\u27s paradigm shift from traditional TCP/IP architecture to improve data handling and enhance network efficiency. By utilizing some of ICN\u27s techniques, such as data naming hierarchy, we can reevaluate each component of the network\u27s protocol stack given current underwater limitations to study the vast solutions and perspectives Information-Centric architectures can provide to UANs.
First, we propose a routing strategy used to manage and route large data files in a network prone to high mobility. Therefore, due to UANs limited transmitting capability, we passively store sensed data and adaptively find the best path. Furthermore, we introduce adapted Named Data Networking (NDN) components to improve upon routing robustness and adaptiveness. Beyond naming data, we use tracers to assist in tracking stored data locations without using other excess means such as flooding. By collaborating tracer consistency with routing path awareness our protocol can adaptively manage faulty or high mobility nodes. Through this incorporation of varied NDN techniques, we are able to see notable improvements in routing efficiency.
Second, we analyze the effects of Denial of Service (DoS) attacks on upper layer protocols. Since UANs are typically resource restrained, malicious users can advantageously create fake traffic to burden the already constrained network. While ICN techniques only provide basic DoS restriction we must expand our detection and restriction technique to meet the unique demands of UANs. To provide enhanced security against DoS we construct an algorithm to detect and restrict against these types of attacks while adapting to meet acoustic characteristics. To better extend this work we incorporate three node behavior techniques using probabilistic, adaptive, and predictive approaches for detecting malicious traits.
Thirdly, to depict and test protocols in UANs, simulators are commonly used due to their accessibility and controlled testing aspects. For this section, we review Aqua-Sim, a discrete event-driven open-source underwater simulator. To enhance the core aspect of this simulator we first rewrite the current architecture and transition Aqua-Sim to the newest core simulator, NS-3. Following this, we clean up redundant features spread out between the various underwater layers. Additionally, we fully integrate the diverse NS-3 API within our simulator. By revamping previous code layout we are able to improve architecture modularity and child class expandability. New features are also introduced including localization and synchronization support, busy terminal problem support, multi-channel support, transmission range uncertainty modules, external noise generators, channel trace-driven support, security module, and an adapted NDN module. Additionally, we provide extended documentation to assist in user development. Simulation testing shows improved memory management and continuous validity in comparison to other underwater simulators and past iterations of Aqua-Sim
Sustainability-focused international PBL project:Rethinking digital education for individuals of low socioeconomic status
Providing access to education for individuals of lower socio-economic status is a significant way to reduce poverty, as it
empowers them to grow as professionals and as individuals. Although there is an increasing sense of urgency to promote
these changes, notably motivated by the Sustainable Development Goals (SDGs) set by the UN 2030 Agenda, there are still
few successful ways to solve this problem on a large-scale. As digital technology develops and affordability increases, new
ways to share quality educational content are created. In an exploratory case study, with a qualitative approach, this paper
presents the development of a digital application focused on providing quality educational content directed to vulnerable
groups that lack access to formal learning experiences, specifically focused on waste pickers in Brasilia, Brazil. The main
data collection methods used to make the decisions through the development process were observation, surveys, and
interviews. Within the framework of Problem Based Learning (PBL) an international cross-disciplinary collaboration among
different universities, the project, denominated “Mobile Education”, involved: (i) the design and implementation of a system
consisting of both a web and mobile application; (ii) the research of a viable business model to provide long-term
sustainability for the project; (iii) and the creation of a pilot course of financial education for the preliminary target group,
i.e., waste pickers from Brasilia, Brazil. Conclusively, the project aims to positively impact social transformation for individuals
who work at the Waste Sorting facilities and lack financial knowledge. The Mobile Education project resulted in a functional
version of the app (Web and Mobile) as well as the delimitation of a viable business model to keep it providing digital
equality in Brazilian education
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