Pervasive computing

Pervasive computing, also called ubiquitous computing, is the growing trend of embedding computational capability (generally in the form of microprocessors) into everyday objects to make them effectively communicate and perform useful tasks in a way that minimizes the end user’s need to interact with computers as computers. Pervasive computing devices are network-connected and constantly available.

Unlike desktop computing, pervasive computing can occur with any device, at any time, in any place and in any data format across any network and can hand tasks from one computer to another as, for example, a user moves from his car to his office. Pervasive computing devices have evolved to include

:Ubiquitous Computing also called Pervasive Computing is the consequence of such rapid advancement of computing that technology is omnipresent and prevalent. Such devices are always inter-connected and continuously available by leveraging the internet and wireless computing.

Pervasive computing is an emerging trend associated with embedding microprocessors in day-to-day objects, allowing them to communicate information. It is also known as ubiquitous computing. The terms ubiquitous and pervasive signify “existing everywhere.” Pervasive computing systems are totally connected and consistently available.

Pervasive computing goes past the arena of desktops so that virtually any device, from apparel to kitchen appliances, could be embedded with microchips, connecting these devices to a boundless network of other gadgets.

Pervasive computing creates an unobtrusive environment with full and integrated Internet connectivity.

A combination of technologies is used to make pervasive computing possible, such as Internet capabilities, voice recognition, networking, artificial intelligence and wireless computing. Pervasive computing devices make day-to-day computing activities extremely easy to access. Pervasive computing also has a number of prospective applications, which range from home care and health, to geographical tracking and intelligent transport systems.

A distinct problem with pervasive computing is that it is not entirely secure. The devices and technologies used in pervasive computing do not lend themselves well to typical data security. This is because they combine in an ad hoc manner within the pervasive network. As such, trust models must be developed in order to ensure tighter security. Other disadvantages of pervasive computing include frequent line connections that are broken, slow connections, very expensive operating costs, host bandwidths that are limited in nature and location-dependent data. All of these instances can impede the security of pervasive computing because they result in multiple system vulnerabilities.

What are the main goal of pervasive computing?

Pervasive computing aims to make our lives simpler through the use of tools that allow us to manage information easily. These “tools” are a new class of intelligent, portable devices that allow the user to plug into powerful networks and gain direct, simple, and secure access to both relevant information and services.

What are features of pervasive computing?

Pervasive computing will provide us with small portable personal assistant devices having high speed, wireless communication, lower power consumption rate, data storage in persistent memory, coin sized disk device, small color display video and speech processing technology.

What Are the Key Principles of Pervasive Computing?

The main goal of pervasive computing is to embed computation into an environment that allows users to enjoy everyday objects’ benefits through information processing. It satisfies the following fundamental principles:


This principle dictates that all computing should be done by nodes or individual computing devices on a distributed network. A central location or hub is unnecessary for users to communicate in an open community that changes dynamically. 


Pervasive computing should occur even on the smallest of devices to supply a few or at least one type of data point. A laptop or mobile phone should, thus, process information.


Pervasive computing-enabled devices should be able to act in a synchronized manner when linked to infrastructures like the Internet or even a home or office network.


Perhaps the most crucial feature of pervasive computing is that devices should work even without acknowledging their existence. Users should not have to alter or manually enter data to facilitate connections; otherwise, the pervasive computing environment ceases to be “pervasive.” It must be open and nonrestrictive.

What is the difference between pervasive computing and IoT?

The pervasive computing and Internet of Things communities examine similar problems and face similar challenges. Some might argue that pervasive computing focuses more on HCI issues, while IoT focuses more on connecting the devices, yet both communities share largely overlapping technical interests and goals.

What are the challenges in pervasive computing?

Pervasive Computing contains other different challenges like: assessment systems for Pervasive Computing applications, development cycle issues, social collaboration, user interface and engagement, emerging issues, cost and limitations of hardware and software.

What Are the Advantages of Pervasive Computing?

Pervasive computing can collect, process, and communicate data, making it better at adapting to users’ activities and context. In short, it allows networks to understand the environment to improve human experience to a great degree. Some of the advantages of pervasive computing include:

Information Management

Since pervasive computing does not require users to manually input data, it allows effortless communication for professional and personal transactions among many different kinds of intelligent and portable devices. Users can access relevant information easily, making the decision-making process seamless anytime, anywhere.

Device Integration

Pervasive computing makes it easier for users to integrate non-intelligent devices into smart environments. Smart devices have embedded microprocessors that allow them to connect even simple gadgets, such as telephones, calculators, or kitchen appliances, to complex networks. This interconnectivity enables users to eliminate mundane tasks.

Productivity Enhancement

Since smart devices use computing technologies that are “out-of-sight,” users can improve their productivity cost-effectively. People no longer need to be tied down to their desktops to accomplish tasks.

Are Pervasive Computing and the Internet of Things One and the Same?

The Internet of Things (IoT) was actually born out of pervasive computing. Some claim that there is no difference between the two. IoT was created to allow users to connect everyday objects, such as kitchen appliances, to the Internet. Like pervasive computing-enabled systems, IoT devices let users stay connected wherever they may be. But some believe that pervasive computing focuses more on human connectivity issues. Unlike IoT, its intention is not to be noticed or no longer need human intervention.

In sum, both IoT and pervasive computing share the same goals. They also face the same technical concerns, such as privacy, ethics, and security.

Pervasive computing pulls the wires off network computing, allowing users to become more productive by gaining access to information anywhere and anytime.

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