Pervasive Computing Environments Research Articles

A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment

A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment

Information Fusion Model of Age-Appropriate Home Environment Design in Pervasive Computing Environment

Information Fusion Model of Age-Appropriate Home Environment Design in Pervasive Computing Environment

SUF: Smart and User Friendly Office Setup in Pervasive Computing Environment

It aims at providing security not only to the transmission or the data input–output but also to the defense system from the source which is target node attached to the network, particularly in the wireless network environment. To fulfill the requisites of the pervasive computing model, distributed trust can also be added to the security infrastructure instead of the traditional meaning of appraising trust, so trust management can establish a trust relationship. This adapted approach works on utter strategies for authenticating visitor(s) and access control, providing the individual securitycredentials, by providing the permission to the entity to change the access rights of other entity or provide them the access to deferring the third parties when required. Services are accessible by the authorized users only if they have rights to access or if the user has assigned that access right to them because of all the rights for which they possess the permission they can assign. The rights can be taken back or annulled. The rights for specific service or the particular service also possess the right to make use of the other service is associated with the user, devices and the agents only.

Integration of multilayered context-aware control system for ubiquitous computing environment

In response to recent demand, context-aware application performs significantly in the field of pervasive computing and smart environment. Many approaches have been proposed to provide functionalities and implementation using context information to observe the environment. Developing context-awareness system becomes more essential issue in order to support into the real situation and system deals with many components and complexity. There are many hardware with different platforms that make them have difficulty to communicate to each other with different layers processing in the system of context such as physical, middleware and application layers. Services in each layer need to adapt the way they behave according to the current context information. This research introduces the development of context-aware system and middleware developments that support the creation of smart application with the purpose of providing the framework of the system and deploy middleware as being the bridge to integrate physical layer and application layer seamlessly to support monitoring ubiquity environment. The system controls multi sensors to monitor the real environment from raw data through prototype platforms for managing, sensing, computing and user interacting as the outcome of the system’s performance. Implementation and experiment have been performed where user moves in / moves out from the sensor range. The proposed middleware is able to handle the complicated system and fulfill its requirement such as heterogeneity, scalability and mobility, the system and complicated components are integrated to be a completed system that operate, interpret and representation context entities to an end users. Having this control system makes a lot of benefits such as real time information access, become intermediary between layers and support to control energy system with the purpose of reducing the energy consumption, rapid communication to the users.

Implementing Trust Management in Pervasive Computing Environment Depending on Trustworthiness Equation

Implementing Trust Management in Pervasive Computing Environment Depending on Trustworthiness Equation

Fostering Innovations in Pervasive Applications through Teaching and Learning of STEMSEL Microchip Technology

This Paper describes the new Paradigm in the Teaching & Learning of Embedded & Microcontroller programming and Application Development. The Authors use the STEMSEL Microchip Programming methodology to teach the Application Development for Pervasive Computing Environments. In the recent years the development of Applications in Ubiquitous environments with the use Internet of Things has triggered a massive research challenges and intensive programming needs. This paper explains the use of a new Integrated Development Environment using simple Graphical Drag & Drop based tool to program such applications. This is applied to develop applications using Bluetooth , WIFI etc for various pervasive computing needs. This Integrated Development Environment is very useful to Teach & Learn such technologies in a simple and quick way.

Energy Conservation in Progressive Decentralized Single-Hop Wireless Sensor Networks for Pervasive Computing Environment

In the pervasive computing environment, energy efficiency is very important in terms of prolonging the lifetime of the communication. As a practical application in pervasive computing environment, wireless sensor networks consist of many sensors and several access points that make them work cooperatively to monitor/measure certain areas. Since the deployment of sensors in unknown sites impedes their recharging, thus exhausting their energy quite quickly, energy conservation becomes a critical issue. Unavoidably, the lavishness of both single- and multihop modes on energy conservation declines the system's life span severely. Therefore, a progressive decentralized single-hop method is conceived. This mechanism works with several phases, in each of which sensors may act in single- or multihop mode. The well-balanced energy consumption rate results in the extension of the system's life span. The method also adapts in general cases and has been proven by mathematical demonstration to totally balance the energy consumption. In addition, the method is very easy to implement. According to the simulation results, it attains most of the original aims of energy conservation.

Performance Assessment of RSA, ElGamal and Proposed DHOTP for File Security in Pervasive Computing Environment

Performance Assessment of RSA, ElGamal and Proposed DHOTP for File Security in Pervasive Computing Environment

What We Know and What We Do Not Know the Legal Challenges for International Commercial Contract Formation in a Pervasive Computing Environment

Although the issue of electronic international commercial contracting has been discussed in the online world, the author of this paper believes that the current system lacks a workable basis for embracing the coming pervasive computing era. In this context, this paper studies the status of current international commercial contract formation and outlines the challenges of pervasive computing, in particular, the issues of jurisdiction and of contract fraud. The paper then suggests that, in order to serve the future computing environment better, the legal and regulatory framework should focus on improving the internal monitoring of risks and vulnerabilities, and greater sharing of information about these risks and vulnerabilities. Moreover, the role of government should be to focus on education and training on the care and use of these technologies and the better reporting of risks and responses. A fully embedded safe computing environment will require more collaboration between individuals, commercial organisations and relevant government bodies.

A Novel Biometric Approach for Authentication In Pervasive Computing Environments

The paradigm of embedding computing devices in our surrounding environment has gained more interest in recent days. Along with contemporary technology comes challenges, the most important being the security and privacy aspect. Keeping the aspect of compactness and memory constraints of pervasive devices in mind, the biometric techniques proposed for identification should be robust and dynamic. In this work, we propose an emerging scheme that is based on few exclusive human traits and characteristics termed as ocular biometrics, promising utmost security and reliability. Complex iris recognition and retinal scanning algorithms have been discussed which promises achievement of accurate results. The performance and vast applications of these algorithms on pervasive computing devices is also addressed.

A Novel Biometric Approach for Authentication In Pervasive Computing Environments

A Novel Biometric Approach for Authentication In Pervasive Computing Environments

Determining Quality- and Energy-Aware Multiple Contexts in Pervasive Computing Environments

In pervasive computing environments, understanding the context of an entity is essential for adapting the application behavior to changing situations. In our view, context is a high-level representation of a user or entity's state and can capture location, activities, social relationships, capabilities, etc. Inherently, however, these high-level context metrics are difficult to capture using uni-modal sensors only and must therefore be inferred using multi-modal sensors. A key challenge in supporting context-aware pervasive computing is how to determine multiple high-level context metrics simultaneously and energy-efficiently using low-level sensor data streams collected from the environment and the entities present therein. A key challenge is addressing the fact that the algorithms that determine different high-level context metrics may compete for access to low-level sensors. In this paper, we first highlight the complexities of determining multiple context metrics as compared to a single context and then develop a novel framework and practical implementation for this problem. The proposed framework captures the tradeoff between the accuracy of estimating multiple context metrics and the overhead incurred in acquiring the necessary sensor data streams. In particular, we develop two variants of a heuristic algorithm for multi-context search that compute the optimal set of sensors contributing to the multi-context determination as well as the associated parameters of the sensing tasks (e.g., the frequency of data acquisition). Our goal is to satisfy the application requirements for a specified accuracy at a minimum cost. We compare the performance of our heuristics with a brute-force based approach for multi-context determination. Experimental results with SunSPOT, Shimmer and Smartphone sensors in smart home environments demonstrate the potential impact of the proposed framework.

Partitioning Application Using Graph Theory for Mobile Devices in Pervasive Computing Environments

The very first phase in software partitioning is to choose an appropriate clustering methodology before moving the clusters to multiple computational nodes since this stage can impact on the distribution of clusters and eventually on the performance of the overall application. In pervasive computing environments, certain memory and cpu intensive applications would prefer to use the computational nodes (anything with at least networking, storage and cpu capabilities) available in the environment. To this end, this paper investigates the very specific area of clustering or partitioning an object-oriented application running on mobile devices. Graph theory has been used to model an application and a cluster analysis algorithm has been proposed. Details about the implementation are covered, followed by a laboratory application partitioning using the proposed approach. Researchers and software designers willing to investigate software partitioning can consider this practical and easy implementable approach.

Using a Pervasive Computing Environment to Identify Secondary Effects of the Antarctic Ozone Hole

Ozone Secondary Effects (OSE) are characterized by the depletion of the ozone layer in medium latitude areas, triggered by the movement of the polar vortex borders over these regions. These air masses may remain in transit from 7 to 20 days after their separation from the vortex and reach inhabited latitudes, causing a temporary reduction in the total column ozone (TCO) over these areas. Detecting such events may help alerting the population and the local authorities on upcoming augmentations in the UV irradiation. In this work we describe our efforts to design a HPC application for OSE detection. This application runs on a pervasive environment, being therefore capable of adapting to the available computing resources of the researchers and institutions interested in such information.

Techniques of Lattice Based Cryptography Studied on a Pervasive Computing Environment

Techniques of Lattice Based Cryptography Studied on a Pervasive Computing Environment

LASEC: A Localized Approach to Service Composition in Pervasive Computing Environments

Pervasive computing environments (PvCE) are embedded with interconnected smart devices which provide users with services desired. To meet requirements of users, smart devices with different kinds of functions may need to be associated together to provide the service described in the user requirement, which is called service composition. As the service composition environment may be dynamic and large scale, centralized service composition algorithm is usually inefficient due to message cost. On the other hand, a decentralized approach, which employs pre-determined coordinators to search and compose service, may have high cost as well. In this paper, we discuss a localized approach for service composition based on the Ubiquitous Interacting Object (UIO) model we have proposed earlier. UIO is an abstraction of physical devices in PvCE with ability to find and collaborate with other devices through exposing their capabilities as services. In our localized service composition algorithm (LASEC), UIOs collaborate with each other in a bottom-up, localized manner to compose required service without requiring global knowledge. To solve the problem of blind compositions in LASEC, we propose a novel mechanism called Alien-information-based Acknowledging (A-Ack), in which a UIO decides on collaborating with another UIO only after obtaining some additional information from the collaboration candidate. Specifically, this information refers to ability of a given UIO to compose another part of the service. Proposed LASEC is message-efficient and quality-guaranteed. Extensive simulations of LASEC as well as existing decentralized and pull-based centralized algorithms have been conducted. The results show the relatively low communication cost and composition time of LASEC. Moreover, we demonstrate feasibility of our approach with a prototype implementation.

Design of Authentication Model Preserving Intimacy and Trust in Intelligent Environments

With the recent advances in communication technologies for low-power devices, pervasive computing environments (PCE) spread as new domains beyond legacy enterprise and personal computing. The intelligent home network environment is thing which invisible device that is not shown linked mutually through network so that user may use device always is been pervasive. Smart devices are interconnected and collaborate as a global distributed system to infuse intelligence into systems and processes. This kind of environment provides various smart services and makes consequently an offer of convenient, pleasant, and blessed lives to people. However, the risk is high as long as the offer is pleasant and convenient. In such context, security is stil very fragile and there is often a violation of user privacy and service interference. For this, a special interest in ubiquitous network security is going up. Safety lies primarily in the authentication of users accessing the network. It guarantees that only legitimate users can login and access to services indoor the network. In this paper, we propose an anonymous authentication and access control scheme to secure the interaction between mobile users handling smart devices and smart services in PCEs. In an environment based on public key infrastructure (PKI) and Authentication, Authorization, and Accounting (AAA), the proposed authentication protocol combines both network authentication technique based on symmetric keys and single sign-on mechanisms. The authentication protocol is simple and secure, protects the privacy of user and aims to satisfy the security requirements.

Secured Smart System Desing in Pervasive Computing Environment Using VCS

Ubiquitous Computing uses mobile phones or tiny devices for application development with sensors embedded in mobile phones. The information generated by these devices is a big task in collection and storage. For further, the data transmission to the intended destination is delay tolerant. In this paper, we made an attempt to propose a new security algorithm for providing security to Pervasive Computing Environment (PCE) system using Public-key Encryption (PKE) algorithm, Bio-metric Security (BS) algorithm and Visual Cryptography Scheme (VCS) algorithm. In the proposed PCE monitoring system it automates various home appliances using VCS and also provides security against intrusion using Zigbee IEEE 802.15.4 based Sensor Network, GSM and Wi-Fi networks are embedded through a standard Home gateway.

HCI Model with Learning Mechanism for Cooperative Design in Pervasive Computing Environment

This paper presents a human-computer interaction model with a three layers learning mechanism in a pervasive environment. We begin with a discussion around a number of important issues related to human-computer interaction followed by a description of the architecture for a multi-agent cooperative design system for pervasive computing environment. We present our proposed three-layer HCI model and introduce the group formation algorithm, which is predicated on a dynamic sharing niche technology. Finally, we explore the cooperative reinforcement learning and fusion algorithms; the paper closes with concluding observations and a summary of the principal work and contributions of this paper.

A Practical Approach to Partition Applications in Pervasive Computing Environments

Abstract Application partitioning to make optimum use of available computational devices in a pervasive computing environment is being researched heavily both in military domain as well for the civil society. This work is a sequel of our previous theoretical effort in developing a framework for seamless application partitioning and distribution at runtime in pervasive computing environments. In this work, we described four important requirements that any partitioning framework must adhere to: partitioning at runtime, network fault tolerant, retractable capability and preservation of application state. We proposed a framework that encompassed all the mentioned requirements and its prototype implementation. We then designed a very simple laboratory music player that run on top of the framework.