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Mobile Intelligence (Wiley Series on Parallel and Distributed Computing)

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Nowadays, it is very common to see people everywhere and at anytime use mobile telecommunications devices, such as cellular/mobile phones, Personal Digital Assistants (PDAs), or laptop equipped with wireless connectivity to communicate with the network and access information. This phenomenon, which is generally known as mobile computing is increasing rapidly world wide. Mobile phones companies have been racing to release the latest version of their products to the market and just recently Apple Inc. introduced its first ever and revolutionary mobile phone, iPhone, which was long awaited by most users. It is a challenge for the mobile service providers to keep up with the information services provided to mobile users in order to gain commercial advantage.

Thanks to the proliferation of wireless technology that has led to the emergence of mobile computing paradigm. Mobile computing introduces anytime and anywhere computing and hence offers many promising applications that have never existed before. However, there are also important issues such as limited storage restriction, frequency of disconnection, narrow bandwidth capacity, security, asymmetric communications costs and bandwidth, and small screen size that need to be addressed before the true potential of mobile computing can be realized. Computational intelligence has emerged as a powerful and indispensable method of analyzing a variety of problems in research. It uses learning, adaptive, or evolutionary computations to create programs that are, in some sense, intelligent. It has been adopted to resolve issues in many different areas including security, marketing, image-quality prediction, and risk assessment. As such, it shows a clear potential in addressing essential issues in mobile computing.

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