72 research outputs found
A secure and intelligent framework for vehicle health monitoring exploiting big-data analytics
This is an accepted manuscript of an article published by IEEE in IEEE Transactions on Intelligent Transportation Systems on 04/01/2022. Available online: https://doi.org/10.1109/TITS.2021.3138255
The accepted version of the publication may differ from the final published version.The dependency on vehicles is increasing tremendously due to its excellent transport capacity, fast, efficient, flexible, pleasant journey, minimal physical effort, and substantial economic impact. As a result, the demand for smart and intelligent feature enhancement is growing and becoming a prime concern for maximum productivity based on the current perspective. In this case, the Internet of Everything (IoE) is an emerging concept that can play an essential role in the automotive industry by integrating the stakeholders, process, data, and things via networked connections. But the unavailability of intelligent features leads to negligence about proper maintenance of vehicle vulnerable parts, reckless driving and severe accident, lack of instructive driving, and improper decision, which incurred extra expenses for maintenance besides hindering national economic
growth. For this, we proposed a conceptual framework for a central VHMS exploiting IoE-driven Multi-Layer Heterogeneous
Networks (HetNet) and a machine learning technique to oversee individual vehicle health conditions, notify the respective owner driver real-timely and store the information for further necessary action. This article transparently portrayed an overview of central VHMS and proposed the taxonomy to achieve such an objective. Subsequently, we unveiled the framework for central
VHMS, IoE-driven Multi-tire HetNet, with a secure and trustworthy data collection and analytics system. Finally, anticipating this proposition’s outcome is immense in the automotive sector. It may motivate the researcher to develop a central intelligent and secure vehicular condition diagnostic system to move this sector towards Industry 4.0.The authors would like to thank University Malaysia Pahang for providing the laboratory facilities and financial support under the University FLAGSHIP Research Grants (Project number RDU192203), International Matching Grant (No. RDU192704), and Postgraduate Research Scheme Grant (No. PGRS200325)
A distributed approach to underwater acoustic communications
Submitted in partial fulfillment of the requirements for the degree of Master of Science at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution September 2003A novel distributed underwater acoustic networking (UAN) protocol suitable for ad-hoc
deployments of both stationary and mobile nodes dispersed across a relatively
wide coverage area is presented. Nodes are dynamically clustered in a distributed
manner based on the estimated position of one-hop neighbor nodes within a shallow
water environment. The spatial dynamic cellular clustering scheme allows scalable
communication resource allocation and channel reuse similar in design to land-based
cellular architectures, except devoid of the need for a centralized controlling
infrastructure. Simulation results demonstrate that relatively high degrees of
interference immunity, network connectivity, and network stability can be achieved
despite the severe limitations of the underwater acoustic channel
LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?
The rapid development of communication technologies in the past decades has
provided immense vertical opportunities for individuals and enterprises.
However, conventional terrestrial cellular networks have unfortunately
neglected the huge geographical digital divide, since high bandwidth wireless
coverage is concentrated to urban areas. To meet the goal of ``connecting the
unconnected'', integrating low Earth orbit (LEO) satellites with the
terrestrial cellular networks has been widely considered as a promising
solution. In this article, we first introduce the development roadmap of LEO
satellite constellations (SatCons), including early attempts in LEO satellites
with the emerging LEO constellations. Further, we discuss the unique
opportunities of employing LEO SatCons for the delivery of integrating 5G
networks. Specifically, we present their key performance indicators, which
offer important guidelines for the design of associated enabling techniques,
and then discuss the potential impact of integrating LEO SatCons with typical
5G use cases, where we engrave our vision of various vertical domains reshaped
by LEO SatCons. Technical challenges are finally provided to specify future
research directions.Comment: 4 figures, 1 table, accepted by Communications Magazin
Resource Optimization in Multi-Tier HetNets Exploiting Multi-Slope Path Loss Model
Current resource allocation techniques in cellular networks are largely based on single-slope path loss model, which falls short in accurately capturing the effect of physical environment. The phenomenon of densification makes cell patterns more irregular; therefore, the multi-slope path loss model is more realistic to approximate the increased variations in the links and interferences. In this paper, we investigate the impacts of multi-slope path loss models, where different link distances are characterized by different path loss exponents. We propose a framework for joint user association, power and subcarrier allocation on the downlink of a heterogeneous network (HetNet). The proposed scheme is formulated as a weighted sum rate maximization problem, ensuring the users' quality-of-service requirements, namely users' minimum rate, and the base stations' (BSs) maximum transmission power. We then compare the performance of the proposed approach under different path loss models with demonstrate the effectiveness of dual-slope path loss model in comparison to the single-slope path loss model. Simulation results show that the dual-slope model leads to significant improvement in network's performance in comparison to the standard single-slope model by accurately approximating the path loss exponent dependence on the link distance. Moreover, it improves the user offloading from macrocell BS to small cells by connecting the users to nearby BSs with minimal attenuation. It has been shown that the path loss exponents significantly influence the user association lying across the critical radius in the case of the dual-slope path loss model
Advanced Engineering Lab project summaries 1991
The Advanced Engineering Laboratory of the Woods Hole Oceanographic Institution is a development laboratory within the
Applied Ocean Physics and Engineering Department. Its function is the development of oceanographic instrumentation to test
developing theories in oceanography, and to enhance current research projects in other disciplines within the community. This
report summarizes recent and ongoing projects performed by members of this laboratory
Tracking the path of a mobile radioactive source using a wireless sensor network
This report describes several experiments used to characterize and test a network of radiation sensors. The purpose of these tests is to assess the feasibility of using these sensors to detect and track radioactive sources in a large field, as in a battlefield or on a military campus. Simulated radiation measurements are used to compare the result of radiation detection accuracy in tracking the moving target and to find its path as early as possible. This is done via changing the number of sensing nodes deployed (deployment density), as well as the models of the detectors. This thesis describes algorithms for both detecting the presence and tracking the position of radioactive sources. It formulates the detection problem as a nonparametric hypothesis-testing problem that is solved by comparing a statistic computed over some window of observation of the data to a threshold value. If this threshold is exceeded then it is decided that a source is present. The tracking results thus found are compared with the actual chosen path within the implemented experiment. Detection delay has been measured while trading off battery consumption and accuracy
Abstracts of manuscripts submitted in 1989 for publication
This volume contains the abstracts of manuscripts submitted for publication during calendar year 1989 by the staff and
students of the Woods Hole Oceanographic Institution. We identify the journal of those manuscripts which are in press or have been
published. The volume is intended to be informative, but not a bibliography.
The abstracts are listed by title in the Table of Contents and are grouped into one of our five deparments, marine policy, or the
student category. An author index is presented in the back to facilitate locating specific papers
Efficient Information Dissemination in Vehicular Networks with Privacy Protection
Vehicular ad hoc network (VANET) is a key component of intelligent transportation System (ITS). In VANETs, vehicles and roadside units exchange information for the purpose of navigation, safe driving, entertainment and so on. The high mobility of vehicles makes efficient and private communications in VANETs a big challenge.
Improving the performance of information dissemination while protecting data privacy is studied in this research. Meet-Table based information dissemination method is first proposed, so as to improve the information dissemination, and to efficiently distribute information via utilizing roadside units, Cloud Computing, and Fog Computing. A clustering algorithm is proposed as well, to improve the stability for self-organized cluster-based dissemination in VANETs on highways.
Then, fuzzy neural networks are used to improve the stability and security of routing protocols, AODV, and design a novel protocol, GSS-AODV. To further protect data privacy, a multi-antenna based information protection approach for vehicle-to-vehicle(V2V) communications is also proposed
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