Pervasive computing or ubiquitous computing means embedding microprocessors in mobile devices such as smartphones, wearable computing devices, tablets, sensors. The underlying technologies such as wireless communications, internet capabilities, advanced middleware, sensors, I/O and user interfaces, networking, mobile protocols, embedded systems, artificial intelligence, location and positioning, voice recognition support pervasive computing. Nowadays, pervasive computing is also known as Internet-of-things (IoT) which means connecting everyday objects to networks and devices.
Some of the key participants in the pervasive computing market include:
Hewlett-Packard, Palo Alto Research center Incorporated (PARC), IBM Corporation, Tata Consultancy Services Limited, Fujitsu Laboratories of America, Inc, AT&T Inc. and E-Tron CO., Ltd.
Pervasive computing market is anticipated to exhibit high growth potential over the next few years due to surge in demand for smart devices and internet penetration. The pervasive computing market can be divided by end-use industry into communications, defense, automotives, healthcare, consumer appliances and E-commerce. Pervasive computing products consist of Bluetooth handset, PDA, mobile phones, web server, camera, wearable input/output, watch phone, watch camera, brainwaves. Some currently available platforms for ubiquitous computing include Spitre, PerLa which is a data language for pervasive systems, and Microsoft Research’s HomeOS which is home automation operating system. The International Journal of Pervasive Computing and Communications (IJPCC) address challenges and deliver the research on all aspects of pervasive computing and communications.
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The pervasive computing market is estimated to witness increased demand though it is not entirely secure. Broken connections, limited host bandwidths and location-dependent data can impede the security of pervasive computing as they result in multiple system vulnerability. The pervasive computing market faces several technological challenges such as flaws in human machine interfaces, users’ intent, energy management issues, cyber forage, and context awareness along with user privacy concerns. From the viewpoint of big data, the challenge for pervasive computing is to integrate data from many disparate sources.
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