1,721,672 research outputs found

    Data Privacy Technology for Society

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    Data Privacy is more prominent than ever in this connected and technology driven world. All information available is derived in one way or the other from data generated by individuals directly or indirectly. This paper presents the argument that we must have a way of using information out of the vast data-sets without impacting individuals. As long as we do not have such a way, there would always be issues, giving rise to misuse of information for someone’s benefit and manipulative outcomes. This paper analyzes not only technical but other safeguards, in place which enable an overall benefit of society and individuals with data privacy at its core

    Human‐Centric IoT Networks

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    The current Internet of things (IoT) concept is characterized with billionsand billions of devices interworking through a myriad of technologies for thedelivery of smart personalized services and applications. At the center of theseis the human user who drives his/her own interconnected cluster. It can beexpected in the future that the number of such clusters will grow exponentially,leading to an ultradense environment of interconnected devices belonging tothe same or different clusters with the human user as the center point for theinformation being sensed, gathered, and processed. This concept has also beenintroduced elsewhere as “human center sensing (HCS).” The vision pushed bythe authors of this chapter for the IoT beyond 2050 is one of the large‐scale anddense HCS connectivities, the complexity of which can be used to extract newIoT value proposition

    Convergence of Secure Vehicular Ad-Hoc Network and Cloud in Internet of Things

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    Vehicular Ad-hoc Network (VANET) is a highly mobile autonomous and self-organizing network of vehicles. VANET is a particular case of Mobile Ad-hoc Network (MANET). With the recent advances in the arena of Information and Communication Technology (ICT) and computing, the researchers have envisioned that VANET could be the basis of many new applications in the field of Internet of Things (IoT). The applications of VANET are not limited to be the driver for safety, traffic management, entertainment, commerce, etc. In the future, VANETs are expected to transport the enormous amount of information. Some of the challenges in VANET are less computing capability, smaller onboard storage, safety, reliability, etc. Among the number of solutions proposed recently, Vehicular Cloud Computing (VCC) is one of them. VCC is a technology that provides on-demand services namely Software-as-a-Service (SaaS), Storage-as-a-Service (STaaS), Platform-as-a-Service (PaaS), etc. over the internet via Cloud vendors

    Benchmarking Iterative Receivers for BICM Multi-Carrier Systems against Capacity Bounds

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    In this paper, we analyze iterative receivers for bit-interleaved coded modulation (BICM) multi-carrier systems and compare them against theoretical capacity bounds for the channel, coded modulation, and BICM. We map the theoretical capacity bounds into bit-error rate (BER) versus average signal-to-noise ratio per bit plots to simplify the comparison between the theoretical capacity bounds and simulated BER curves. As BER simulations show, iterative receivers with code doping or spreading reach the turbo-cliff within 1 dB or 0.3 dB of the independent Rayleigh fading channel capacity. While the iterative receiver with spreading is closer to the channel capacity than the one with code doping, the later one can eliminate the residual bit-errors after the turbo-cliff. We further present a combinatorial analysis of the distribution of the spread symbol constellation for Walsh-Hadamard spreading codes used in a BICM multi-carrier system to explain the above results
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