Journal Information
IEEE Pervasive Computing
Impact Factor:

Call For Papers
IEEE Pervasive Computing delivers the latest peer-reviewed developments in pervasive, mobile, and ubiquitous computing to developers, researchers, and educators who want to keep abreast of rapid technology change. With content that's accessible and useful today, the quarterly publication acts as a catalyst for realizing the vision of pervasive (or ubiquitous) computing, described by Mark Weiser nearly a decade ago.

The essence of this vision is the creation of environments saturated with computing and wireless communication, yet gracefully integrated with human users. Many key building blocks needed for this vision are now viable commercial technologies: wearable and handheld computers, high-bandwidth wireless communication, location-sensing mechanisms, and so on. The challenge is to combine these technologies into a seamless whole. This will require a multidisciplinary approach, involving hardware designers, wireless engineers, human-computer interaction specialists, software agent developers, and so on.

The editorial board of IEEE Pervasive Computing is a distinguished collection of leaders whose expertise spans the breadth of this new field. Led by editor in chief Nigel Davies, they will help advance pervasive computing by bringing together various disciplines, including

    hardware technologies for ubiquitous computing;
    software infrastructure for ubiquitous computing;
    sensing and interaction with the physical world;
    graceful integration of human users; and
    systems considerations, including scalability, security, and privacy.
Last updated by Dou Sun in 2017-10-08
Special Issues
Special Issue on Beyond Testbeds: Real-World IoT Deployments
Submission Date: 2018-01-01

The Internet of Things is upon us. Falling technology costs; unparalleled development in complementary fields, such as embedded systems, mobile radios, cloud computing, and artificial intelligence; and massive investments from the industry and governments have all contributed to unleashing this new digital age. IoT describes the concept of an Internet that is no longer constrained to connecting digital artifacts; instead it embraces real-world objects and devices. This new Internet—where networks, data, and devices work seamlessly and intelligently together—has created an ecosystem that impacts every facet of our lives. Over more than a decade, academic research efforts have developed embedded hardware, sensing algorithms, software frameworks, applications, and interaction paradigms for IoT. Joining a large number of academic institutions and their testbeds and pilot deployments, industrial stakeholders and business professionals have recently started creating their own interpretations of the term: the “Industrial Internet,” “Internet of Everything,” “Internet of Things and Services,” “Web of Things,” and others each emphasize a specific aspect of IoT. Together, they instigated the industrial IoT revolution. This special issue focuses on real-world IoT deployments and on the approaches and challenges of implementing, deploying, and managing them, as well as their social acceptance. In particular, we solicit contributions that focus on the following aspects of real-world IoT deployments: - Challenges of real-world IoT deployments in the Industry 4.0, industrial Internet, advanced manufacturing, building management, smart grid, and transportation domains. - IoT applications and services: embedded intelligence applications that challenge the state of the art in fields such as agriculture, automotive, civil and industrial infrastructure monitoring and control, healthcare, and retail. - IoT platforms and ecosystems: how different stakeholders collaborate and generate business value from interoperable applications and diverse streams of data. - IoT architecture and interoperability: semantic integration of IoT systems and services and information architecture design, supporting mobility of functions and executions between edge devices and cloud infrastructure. - IoT analytics : how machine learning and data analytics techniques shape real-world IoT systems. - IoT case studies and experience reports of real-world deployments: evaluation of context reasoning, human-IoT user experiences, and business value, and insights into social acceptance of IoT systems. - IoT platforms and development: user-level IoT programming concepts and tools and the integration of legacy systems, and testing and verification of real-world IoT installations.
Last updated by Dou Sun in 2017-10-08
Special Issue on IoT Communications
Submission Date: 2018-03-01

We are in the midst of a technological transformation, where devices in the physical world at all scales and in all application domains are becoming smarter and more connected. Such an Internet of Things (IoT) promises to improve efficiency in transportation, power grids, buildings, retail, manufacturing, and agriculture, creating new opportunities in homes, the environment, healthcare, and smart cities. At the heart of IoT lies communications between the devices themselves and with the Internet, enabling the collection, exchange, and analysis of data to produce useful information and knowledge. IoT communications has many challenges and encompasses a multitude of design considerations, including the diversity of devices, energy and power constraints, communication rates, distances, noise, interference, latencies, timeliness, and many other factors. This special issue aims to explore new technologies, systems, methodologies, and applications that relate to all aspects of IoT communications and systems. We encourage contributions from diverse fields such as smart cities, human-computer interaction, distributed systems, architecture, manufacturing, automation, smart grids, cyber-physical systems, ubiquitous computing, wearable computing, environmental monitoring, and wireless health. Relevant topics for this special issue include, but are not limited to, the following: - novel wireless and wired technologies, - IoT communication protocols and standards, - real-time issues in IoT communications, - security and privacy in IoT communications, - machine-to-machine (M2M) communications, - architecture and composition, - RFID systems, - wearable systems, - communications of urban IoT systems, and - applications of IoT systems, including smart buildings, cities, grids, and health.
Last updated by Dou Sun in 2017-10-13
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