Pervasive and Mobile Computing

As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies.The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems. Topics include, but not limited to:Pervasive Computing and Communications Architectures and ProtocolsPervasive, Mobile and Wearable Computing Systems and ServicesCyber-Physical Systems and Cyber-Physical Social SystemsSmart Systems and Applications (smart cities, smart manufacturing, smart transportation, smart grid, smart health, etc.)Smart Spaces and Intelligent EnvironmentsSmart ComputingCognitive ComputingSocial ComputingInternet of Things and Social Internet of ThingsInternet of PeopleEdge, Fog, Mobile Cloud and Opportunistic ComputingAI and Big Data Analytics in Pervasive Computing SystemsUrban Sensing and Mobile CrowdsensingParticipatory and Social SensingEnabling Communication Technologies (e.g., wireless LANs, cellular, hybrid, ad hoc and cognitive networks)Wireless Sensors Networks and RFID TechnologiesMachine-to-Machine and Device-to-Device CommunicationsPositioning, Localization and Tracking TechnologiesAlgorithmic Paradigms for Pervasive Computing SystemsActivity Recognition and TrackingContext-aware ComputingLocation-based Services and ApplicationsService Creation, Composition, Discovery, Management, and DeliveryMiddleware Systems and ServicesHuman User Interfaces and Interaction ModelsTrust, Reliability, Security, and Privacy in Pervasive and Mobile Computing SystemsPerformance Evaluation of Pervasive and Mobile Computing Systems

正如MarkWeiser早在1991年所设想的那样，普适计算系统和服务已经真正成为我们日常生活中不可或缺的一部分。从个性化和嵌入式智能设备（如智能手机、传感器、可穿戴设备、物联网等）到无所不在的连接，通过各种无线移动通信和认知网络基础设施，到先进的计算技术（包括边缘、雾和云）和我们，各种技术的巨大发展友好的中间件服务和平台为普及和移动计算领域的空前进步做出了重大贡献。尖端的应用和模式已经发展，例如网络物理系统和智能环境（例如，智能城市、智能能源、智能交通、智能医疗等），也通过社会互动和参与性和/或移动人群感知，将人类纳入循环。普适计算系统的目标是改善人类的经验和生活质量，而不需要对底层通信和计算技术有明确的认识。《普适性和移动计算杂志》（PMC）是一本具有高度影响力的同行评审技术期刊，发表了涵盖理论和实践的高质量科学文章，涵盖普适性和移动计算和系统的各个方面。主题包括但不限于：普适计算和通信体系结构和协议普及、移动和可穿戴的计算系统和服务网络物理系统和网络物理社会系统智能系统和应用（智能城市、智能制造、智能交通、智能电网、智能健康等）智能空间和智能环境智能计算认知计算社会计算物联网与社会物联网人的网络边缘、雾、移动云和机会主义计算普适计算系统中的人工智能和大数据分析城市传感和移动拥挤传感参与式和社会感知支持通信技术（例如无线局域网、蜂窝网络、混合网络、即席网络和认知网络）无线传感器网络和RFID技术机器对机器和设备对设备通信定位定位跟踪技术普适计算系统的算法范例活动识别和跟踪上下文感知计算基于位置的服务和应用服务创建、组合、发现、管理和交付中间件系统和服务人类用户界面和交互模型普及和移动计算系统中的信任、可靠性、安全性和隐私性普适和移动计算系统的性能评估