Era Of Ubiquitous Computing Research Articles

Presenting the COGNIFOG Framework: Architecture, Building Blocks and Road toward Cognitive Connectivity.

In the era of ubiquitous computing, the challenges imposed by the increasing demand for real-time data processing, security, and energy efficiency call for innovative solutions. The emergence of fog computing has provided a promising paradigm to address these challenges by bringing computational resources closer to data sources. Despite its advantages, the fog computing characteristics pose challenges in heterogeneous environments in terms of resource allocation and management, provisioning, security, and connectivity, among others. This paper introduces COGNIFOG, a novel cognitive fog framework currently under development, which was designed to leverage intelligent, decentralized decision-making processes, machine learning algorithms, and distributed computing principles to enable the autonomous operation, adaptability, and scalability across the IoT-edge-cloud continuum. By integrating cognitive capabilities, COGNIFOG is expected to increase the efficiency and reliability of next-generation computing environments, potentially providing a seamless bridge between the physical and digital worlds. Preliminary experimental results with a limited set of connectivity-related COGNIFOG building blocks show promising improvements in network resource utilization in a real-world-based IoT scenario. Overall, this work paves the way for further developments on the framework, which are aimed at making it more intelligent, resilient, and aligned with the ever-evolving demands of next-generation computing environments.

IoT Security in the Era of Ubiquitous Computing: A Multidisciplinary Approach to Addressing Vulnerabilities and Promoting Resilience

The Internet of Things (IoT) has rapidly become a pivotal, transformative force, seamlessly integrating billions of physical devices through sophisticated networks of embedded sensors, software, and internet connectivity. This expansive and interconnected ecosystem offers a broad spectrum of applications, significantly benefiting urban infrastructure with innovative solutions, enhancing industrial operations through optimization, and enriching consumer experiences with smart devices for safety and convenience. Despite the numerous benefits, the widespread adoption of IoT technologies has challenges, particularly in security and privacy. The proliferation of IoT devices has opened up new avenues for potential cyber threats, posing risks of data breaches and privacy violations. An in-depth analysis of notable IoT security incidents, such as the 2015 Jeep Hack, the Owlet WiFi Baby Heart Monitor Hack, and the TRENDnet Webcam Hack, highlights the critical vulnerabilities inherent in many IoT systems.
 Organizations must adopt comprehensive and robust security measures to address these security concerns, including implementing advanced encryption protocols, deploying effective firewalls stringent access control mechanisms, and conducting regular security audits. A multi-layered security architecture becomes essential in mitigating such threats and ensuring the integrity of IoT networks. Furthermore, integrating blockchain technology presents a promising enhancement to IoT security and privacy protocols. Blockchain's inherent features of decentralization, transparency, and immutability offer an additional layer of security, making it more difficult for unauthorized entities to compromise IoT systems.
 Equally crucial is the need to elevate IoT security awareness among organizations; this can be achieved through persistent research, fostering collaborations with security experts, and promoting best practices in IoT security. By actively addressing these security challenges, organizations can not only harness the full potential of IoT but also protect their reputations, build trust with stakeholders, and ensure the privacy and safety of their data. Therefore, while IoT presents an array of opportunities for innovation and efficiency, the importance of vigilance in security cannot be overstated. Balancing the benefits of IoT with robust security measures will be vital to realizing its full potential safely and reliably.

A biometric‐based implicit authentication protocol with privacy protection for ubiquitous communication environments

SummaryDue to the proliferation of the wireless communication technologies, we are now in the era of ubiquitous computing. People can enjoy services almost in any time and any location based on the mobile intelligent devices. Meanwhile, more and more personal information are transmitted through the network. To protect these sensitive information, authentication and privacy protection are primary concerns in ubiquitous communication environments. However, traditional physical‐based biometric authentication scheme usually requires explicit cooperation of the user, which is inconvenient to the users. In order to solve this problem, a behavior biometric authentication protocol with privacy protection is designed using matrix multiplication and homomorphic encryption for ubiquitous communication environments. The correctness, security, and privacy protection properties are proved with security analysis. Performance evaluation shows that our protocol achieves stronger security and higher communication efficiency compared with other related protocols, which makes it very suitable for ubiquitous communication environments because communication consumes much more energy than computation does in mobile communication.

Health Monitoring Apps: An Evaluation of the Persuasive System Design Model for Human Wellbeing

In the current era of ubiquitous computing and mobile technology, almost all human beings use various self-monitoring applications. Mobile applications could be the best health assistant for safety and adopting a healthy lifestyle. Therefore, persuasive designing is a compulsory element for designing such apps. A popular model for persuasive design named the Persuasive System Design (PSD) model is a generalized model for whole persuasive technologies. Any type of persuasive application could be designed using this model. Designing any special type of application using the PSD model could be difficult because of its generalized behavior which fails to provide moral support for users of health applications. There is a strong need to propose a customized and improved persuasive system design model for each category to overcome the issue. This study evaluates the PSD model and finds persuasive gaps in users of the Mobile Health Monitoring application, developed by following the PSD model. Furthermore, this study finds that users misunderstand health-related problems when using such apps. A misunderstanding of this nature can have serious consequences for the user’s life in some cases.

Comparative analysis of different Operating systems for Raspberry Pi in terms of scheduling, synchronization, and memory management

Deep learning, big data, and the internet of things (IoT) have changed the world entirely. As an embedded computer, Raspberry Pi is playing a dynamic and prominent role in the era of ubiquitous computing. In ubiquitous computing, performance and real-time throughput are still an area of focus for Raspberry Pi. Indeed, process scheduling, page swapping, and process synchronization techniques are essential and crucial parameters of the operating system for Raspberry Pi. The key study objectives were; (i) explore the recent trend of applications of Raspberry Pi and (ii) comparison of process scheduling, page swapping and process synchronization techniques with different Raspberry Pi operating systems. The study concluded that Linux-based operating systems are offering an optimized and efficient computing environment for Raspberry Pi.

QoS Optimization for Mobile Ad Hoc Cloud: A Multi-Agent Independent Learning Approach

In the era of ubiquitous computing, offloading certain computing tasks to the mobile ad hoc cloud (MAHC) could help mobile devices reduce execution time. However, if multiple resource demanders (RDs) offload tasks to the MAHC without a proper scheduling policy, it may cause unbalanced load distribution among resource providers (RPs), which will affect the overall quality of service (QoS). To this end, in this paper, we propose a multi-agent independent learning approach aiming to optimize the QoS of MAHC. Firstly, for the distributed MAHC, we formulate the QoS optimization model as a non-cooperative game, where each RD competes for maximizing its own utility. Secondly, based on the potential game theory, we prove the existence of Nash equilibrium. A multi-agent independent learning algorithm is then proposed to obtain the equilibrium points, and the convergence of this algorithm is analyzed. Simulation results confirm that the proposed approach helps balance the load distribution and enhances the QoS of MAHC.

High throughput novel architectures of TEA family for high speed IoT and RFID applications

The current era of ubiquitous computing has led to the emergence of a sub-domain in cryptography called Lightweight Cryptography, which deals with imparting adequate security to resource constraint devices like IoT devices, RFID tags with a suitable choice of design metrics. The advancement in network connectivity and data handling capabilities shows the tremendous growth of IoT in physical life. The number of connected devices have been increasing throughout IoT applications, leaving severe security concerns behind. There is a need of secure communication which can be fulfilled with lightweight algorithms. The motive of this work is to implement the optimized lightweight ciphers and model its design metrics. Design has to be simulated to implement the cipher in hardware from which different metrics can be measured. TEA, XTEA and XXTEA ciphers have been used to fulfil the objective stated and were modelled, implemented and optimized on specific hardware technology like Field Programmable Gate Array (FPGA) and Application Specific Integrated Circuit (ASIC) platform. Designs have been implemented to examine numerous properties like block sizes, rounds of implementations and key scheduling part. This paper presents four hardware architectures namely TEA (T1), XTEA (T2), XXTEA (T3) and hybrid model (T4). T1, T2 and T3 have been implemented using pipelined method with percentage improvement in frequency is 75.9%, 162% and 89%. Similarly, the enhancement in terms of area has been 85.43%, 57.08% and 90.79%. T4 presents a hybrid model which is also a pipelined architecture that combines TEA family (TEA, XTEA and XXTEA) in a single design. The percentage improvement of gate equivalent (GE) for T2 is 47.50%. The hybrid model (T4) has the same throughput as that of T1, T2 & T3 and has less GE when compared to combined GE of all three. Efficiency improvement of all the novel architectures are more than eighteen times as compared to the existing literature.

Identification of trusted IoT devices for secure delegation

In the era of ubiquitous computing, Internet of Things (IoT) devices have a remarkable impact on human lives. In addition to numerous services provided by IoT devices, there are some constraints and limitations in their service provision. For instance, due to their resource constraint nature, sometimes these devices have insufficient resources to perform assigned tasks. Therefore, a delegation mechanism is usually required to handle task requests assigned to devices with limited resources. However, at the same time, the data possessed by these devices can be sensitive, so a trust mechanism is needed to identify trusted devices for delegating data sensitive services. Ontologies provide a robust method to integrate models with their corresponding real-world scenarios. This paper proposes a model for the identification of trusted IoT devices for delegation, designed through ontologies to resolve the problems of incomplete task requests owned by resource-constrained IoT devices. The proposed ontology provides a unique view of domain knowledge from the operational knowledge of pervasive and ubiquitous systems, like IoT devices. The paper also proposes a semantic matching algorithm to rank highly favorable and trusted devices to handle resource and trust priorities. The proposed ontology is developed in protégé editor and evaluated through a web query language. The experimental results based on simulation and parametric evaluations reflect that the proposed system performs better than existing approaches.

Reinforcement learning-based spatial sorting based dynamic task allocation on networked multicore GPU processors

Owing to the advancements in cloud computing our lives are significantly altering the means of utilizing data by the data-intensive business and research. The coming era of ubiquitous computing is greatly supported by the evolution of cloud computing with networked multicore GPU processors to avail consistent data utilization. In such a domain, computing, data stockpiling and correspondence turns into a utility. In this paper, a new algorithm is devised that aids in ranking the tasks based on generated cluster indices. The proposed algorithm offers a new strategy for simultaneous task partitioning, it’s ranking and load assignment, thus improving the computational performance of the given workload.

One app to rule them all: collaborative injection of situations in an adaptable context-aware application

Currently, we are living in the era of ubiquitous computing, that introduces the possibility to have an increasing number of mobile applications on different types of devices with ever-growing capabilities. Consequently, the continuous rise of mobile applications opens the door for an unmatched number of diverse possibilities of what users can do and expect to do. Due to the high demand for apps and the unstoppable growth of app stores, the computing world is slowly shifting towards an interconnected, distributed, and context-aware digital ecosystem. With so many possible use cases and such diverse user needs, is it desirable to have one single application that does it all? Has it become a necessity to have one application able to understand users and eliminate the need for other applications? Our vision of this single application is a context-aware distributed mobile application dedicated to everyday users. This app needs to offer to the users a high level of comfort and a better-customized user experience by replying both re-actively and pro-actively to the users’ needs without confusing them with the large diversity of apps and devices available. Nonetheless, no predefined application can predict or autonomously handle all the possible situations that could happen to the user in all different areas (shopping, work, travel, etc.), due to the infinite possibilities. Therefore, our proposal allows to dynamically add new use cases, by both non-experts (e.g., everyday users) and domain experts (e.g., a travel agent), into the user’s application.

Mathematical Representation of Quality of Service (QoS) Parameters for Internet of Things (IoT)

Now we are in the era of ubiquitous computing. Internet of things (IoT) is getting matured in various parts of the world. In coming few years' billions and trillions of things will be connected to the internet. To deal with these huge number of devices in a network we need to consider Quality of Service (QoS)parameters so that system operations can be performed in a smoother way. Mathematical modelling of these QoS parameters gives an idea about which factors are needs to consider while designing any IoT-enabled system at the same time it will give the performance analysis of the system before implementation. In this paper comprehensive literature survey is done to discuss various issues related to QoS and gap analysis is also done for IoT Enabled systems. This paper proposes general steps to build a mathematical model for a system. It also proposes the mathematical model for QoS parameters like reliability, communication complexities, latency and aggregation of data for IoT. To support proposed mathematical model proof of concept also given.

Questioning “digital ethnography” in an era of ubiquitous computing

AbstractThis article questions what “digital ethnography” is and how geographers may use it in an era of ubiquitous and pervasive computing. Unlike scholars from cognate disciplines, including the new subfields of digital anthropology and digital sociology, geographers have yet to adopt this term and associated methods on a significant scale in their own ethnographic studies of spatial practices in the digital age. The article asks what has become of an “analogue” or “conventional” ethnography in the digital age, and queries whether digital ethnography offers something new for geographers, or simply reinforces the problematic virtual/real, online/offline binaries that geographers have strived to pull apart over the past decade. Ultimately, this article aims to provoke a timely discussion about “the digital” and ethnographic research in geography. Surveying recent geographic theorisations of the digital, it suggests ways in which ethnographic research may respond to this work.

WPŁYW APLIKACJI KINESIOLOGY TAPINGU TECHNIKĄ MIĘŚNIOWĄ NA ZAKRES RUCHOMOŚCI LĘDŹWIOWEGO ODCINKA KRĘGOSŁUPA ORAZ SUBIEKTYWNE ODCZUWANIE NATĘŻENIA BÓLU U CHORYCH Z DOLEGLIWOŚCIAMI BÓLOWYMI KRĘGOSŁUPA

In an era of ubiquitous computing, a considerable part of the population, regardless of age group, spend more time in a sitting position. Long-term, static loading of the spine increases muscle tension, leading to the occurrence of pain. Physiotherapy is recommended as primary and secondary prevention of spinal pain symptoms. The Kinesiology Taping Method is one of the many special methods of physiotherapy which is used during the episodes of back pain in the lumbosacral region. This method consists in sticking on a special tape, which is made of stretch cotton similar to human skin, using a variety of techniques for patch application. The present study evaluated the effect of the application of the Kinesiology Taping technique for muscle mobility in the lumbar spine and the subjective perception of pain intensity. The study group consisted of 100 patients (89 women and 11 men) who experienced pain in the lumbar spine. To assess the mobility of the lumbar spine the Schober test was used. The subjective sensation of pain was assessed using the VAS (visual analogue scale). Measurements were taken four times: before gluing applications, immediately after taping, 7 days after application of the patch, and immediately after its removal. In response to the use of therapy, an increase of mobility of the lumbar spine in flexion front and back, and reduced pain was shown. Application of the muscle kinesiology taping technique is an effective method in reducing pain and increasing mobility of the lumbar spine.

SenseMyHeart: A cloud service and API for wearable heart monitors.

In the era of ubiquitous computing, the growing adoption of wearable systems and body sensor networks is trailing the path for new research and software for cardiovascular intensity, energy expenditure and stress and fatigue detection through cardiovascular monitoring. Several systems have received clinical-certification and provide huge amounts of reliable heart-related data in a continuous basis. PhysioNet provides equally reliable open-source software tools for ECG processing and analysis that can be combined with these devices. However, this software remains difficult to use in a mobile environment and for researchers unfamiliar with Linux-based systems. In the present paper we present an approach that aims at tackling these limitations by developing a cloud service that provides an API for a PhysioNet-based pipeline for ECG processing and Heart Rate Variability measurement. We describe the proposed solution, along with its advantages and tradeoffs. We also present some client tools (windows and Android) and several projects where the developed cloud service has been used successfully as a standard for Heart Rate and Heart Rate Variability studies in different scenarios.

Advanced password based authentication scheme for wireless sensor networks

This era of ubiquitous computing has led to the development of complex communication networks all over the world. Wireless sensors, due to their wide applicability, form a key component of any complex network. But, security is a major challenge in making wireless sensor networks robust. Many remote user authentication schemes have been proposed for authenticating the legitimate users of a wireless sensor network. Most of the recently proposed schemes are vulnerable to one or more security attacks and are inefficient in terms of processing time. In this paper, the scheme proposed by Xue et al. has been reviewed and it has been found that the scheme is vulnerable to impersonation attack, stolen smart card attack, server spoofing attack. This paper proposes a robust and efficient password based authentication scheme which is secure against all well known security attacks. Moreover, the scheme has a low computation and communication cost and does not suffer from time synchronization problem. A formal security analysis has been performed using AVISPA tool to prove the security of the protocol.

Thinking Critically About and Researching Algorithms

The era of ubiquitous computing and big data is now firmly established, with more and more aspects of our everyday lives being mediated, augmented, produced and regulated by digital devices and networked systems powered by software. Software is fundamentally composed of algorithms -- sets of defined steps structured to process instructions/data to produce an output. And yet, to date, there has been little critical reflection on algorithms, nor empirical research into their nature and work. This paper synthesises and extends initial critical thinking about algorithms and considers how best to research them in practice. It makes a case for thinking about algorithms in ways that extend far beyond a technical understanding and approach. It then details four key challenges in conducting research on the specificities of algorithms -- they are often: black boxed; heterogeneous, contingent on hundreds of other algorithms, and are embedded in complex socio-technical assemblages; ontogenetic and performative; and out of control in their work. Finally, it considers six approaches to empirically research algorithms: examining source code (both deconstructing code and producing genealogies of production); reflexively producing code; reverse engineering; interviewing designers and conducting ethnographies of coding teams; unpacking the wider socio-technical assemblages framing algorithms; and examining how algorithms do work in the world.

REDTACTON-THE FORWARD THINKING OF HUMAN AREA NETWORK

Human society is entering an era of ubiquitous computing, when networks are seamlessly interconnected and information is always accessible at our fingertips. In the world of computers, networking is the practice of linking two or more computing devices together for the purpose of sharing data. Red Tacton is emerging technology that enables the first practical HAN (Human Area Network)between body-centered electronic devices and PCs or other network devices embedded in the environment via a new generation of user interface based on totally natural human actions such as touching, holding, sitting, walking, or stepping on a particular spot. By making Human Area Networks feasible, Red Tacton will enable ubiquitous services based on human centered interactions and therefore more intimate and easier for people to use. Red Tacton is a break-through technology that uses the surface of the human body as a safe, high speed network transmission path. So we, in this paper are explaining the unique new functional features and enormous potential of Red Tacton as a Human Area networking technology. Technology is making many things easier; we can say that our concept is standing example for that. So far we have seen LAN, MAN, WAN, INTERNET & many more but here is new concept of “RED TACTON” which makes the human body as a communication network.

Adapting web pages using graph partitioning algorithms for user-centric multi-device web browsing

In the era of ubiquitous computing, applications are emerging to benefit from using devices of different users and different capabilities together. This paper focuses on user-centric web browsing using multiple devices, where content of a web page is partitioned, adapted and allocated to devices in the vicinity. We contribute two novel web page partitioning algorithms. They differ from existing approaches by allowing for both, automatic and semi-automatic partitioning. On the one hand, this provides good automatic, web page independent results by utilizing sophisticated structural pre- and postprocessing of the web page. On the other hand, these results can be improved by considering additional semantic information provided through user-generated web page annotations. We further present a performance evaluation of our algorithms. Moreover, we contribute the results of a user study. These clearly show that (1) our algorithms provide good automatic results and (2) the application of user-centric, annotation-based semantic information leads to a significantly higher user satisfaction.

AN APPROACH OF UBIQUITOUS DEVICES USING T-ENGINE IN VIETNAM

The 21st century is the era of Ubiquitous Computing where computing devices are present everywhere in our lives. To satisfy the development of this tendency, many hardware platforms have been proposed for developing Ubiquitous devices. Among them, T-Engine, an open standardized development platform for embedded systems, is one of the most popular platforrms. It is nowadays compatible with embedded equipments for a wide range of fields. In Vietnam, T-Engine has just been introduced for 4 years. However, most of the ubiquitous applications using T-Engine are developed restrictively based on the standard hardware of T-Engine. One issue that arises is the necessity of a solution to expand T-Engine hardware and use it to control automatic systems to satisfy different types of Ubiquitous devices. This research is to propose an approach to use T-Engine in the Ubiquitous Devices that require the attachment of the additional hardware as well as the complicated control mechanism with real time constraints. In this research, we proposed an expanding solution T-Engine through the extension bus. Besides that, we consider the timing problems in bus transaction and problems in real-time programming. A simple robot demonstration has also been designed and implemented to prove the feasibility of our model. This approach will open up a new tendency of developing complicated Ubiquitous devices using T-Engine in Vietnam.

UbiPaPaGo: Context-aware path planning

The increased prevalence of digital devices with communication capability heralds the era of ubiquitous computing, as predicted by Mark Weiser. Ubiquitous computing aims to provide users with intelligent human-centric context-aware services at anytime anywhere. Optimal path planning in a ubiquitous network considers the needs of users and the surrounding context. This approach is very different from that applied by existing research on car navigation and mobile robots. This study proposes a context-aware path planning mechanism based on spatial conceptual map (SCM) and genetic algorithm (GA), referred to as UbiPaPaGo. The SCM model is adopted to represent the real map of the surrounding environment. The optimal path is planned using a GA, which is a robust metaheuristic algorithm. UbiPaPaGo attempts to automatically find the best path that satisfies the requirements of an individual user. A prototype of UbiPaPaGo is implemented to demonstrate its feasibility and scalability. Experimental results validate the effectiveness and the efficiency of UbiPaPaGo in finding the optimal path.