Pervasive ComputingIntroduction: Pervasive computing is the trend toward increasingly ubiquitous computing devices (another name for the movement is ubiquitous computing), connected across the environment, a trend driven by a convergence of electronic devices advanced - and in particular, wireless and Internet technologies. Pervasive computing devices are not personal computers as we tend to think of them, but tiny, even invisible devices that are mobile or embedded in almost every type of object imaginable, including cars, tools, appliances, clothing, and various consumer goods - all communicating across networks all the time. more interconnected. In 1991, Mark Weiser introduced the idea of ​​ubiquitous computing: a world in which computers and associated technologies become invisible and therefore indistinguishable from everyday life. This invisible computing is accomplished through “embedded virtuality,” the process that brings computers into the physical world. Weiser proposed that computing and communications structures follow the evolutionary path of the electric motor. Features: In 2001, Mahadev Satyanarayanan presented aspects of a pervasive computing environment in which instances of Weiser's ubiquitous computing world could now be explored, given the maturity of computing/communication technologies such as wireless LANs, portable and wearable computers, and sophisticated and embeddable sensors. He also identified several key research areas in pervasive computing: intelligent spaces, invisibility, localized scaling, and non-uniform conditioning. Briefly described, a smart space is a well-defined area, open or closed, that incorporates a set of integrated systems (computers, sensors, user interfaces and service infrastructures). Invisibility is the intent that users will not be unnecessarily distracted from their interaction with pervasive computing technologies. Localized scalability is about effectively managing the exchange of information between users and their surroundings; considerations include bandwidth and power usage, as well as controlling user distraction. Finally, unequal conditioning refers to the current lack of consistent technologies and services in the user's environment; for example, wireless connectivity may be present in one building but not in another. Numerous companies and higher education institutions have initiated large research projects aimed at investigating the requirements and implementation of pervasive computing environments. These research activities identified the following characteristics of a pervasive computing environment: minimal user distraction, collaborative interaction, user mobility, context awareness (user/time/location), resource and location discovery, ambient information, calm technology , event notification, adaptive interfaces , Invisibility: increase in everyday objects , Always/everywhere. Given the above characteristics, the possible positive effects that pervasive computing can have on productivity in our lives (at school, at work and at home) could be significant: