Mobile Phone Programming

Name: Mobile Phone Programming
Price: 1259 SEK
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and its Application to Wireless Networking

AvFrank H. P. Fitzek,Frank Reichert

2007

1 259 kr

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Beskrivning

This book provides a solid overview of mobile phone programming for readers in both academia and industry. Coverage includes all commercial realizations of the Symbian, Windows Mobile and Linux platforms. The text introduces each programming language (JAVA, Python, C/C++) and offers a set of development environments "step by step," to help familiarize developers with limitations, pitfalls, and challenges.

Produktinformation

Utgivningsdatum:2007-06-26
Höjd:170 x 257 x 33 mm
Vikt:1 029 g
Språk:Engelska
Antal sidor:473
Upplaga:2007
Förlag:Springer-Verlag New York Inc.
EAN:9781402059681

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Mer om författaren

Frank Fitzek is Associate Professor at Aalborg University, and is Head of Future Visions. He has edited one book for Springer, and is currently working on a second. This book will be the third.

Innehållsförteckning

to Mobile Phone Programming.- Mobile Phone Programming Languages.- Python for Symbian Phones.- Java 2 Micro Edition.- Symbian/C++.- Open C.- Qtopia Greenphone.- Maemo Linux.- Windows Mobile Programming.- Infrastructure-Based Communication.- Service Discovery.- Peer-to-Peer Communication.- Digital Ownership for P2P Networks.- SMARTEX: The SmartME Application.- The Walkie Talkie Application.- Cooperative Communication.- Cooperative Wireless Networking: An Introductory Overview.- The Medium is the Message.- Peer-to-Peer File Sharing for Mobile Devices.- Energy Saving Aspects and Services for Cooperative Wireless Networks.- Cross-Layer Communication.- Cross-Layer Protocol Design for Wireless Communication.- Cross-Layer Example for Multimedia Services over Bluetooth.- Sensor Networks.- Convergence of Mobile Devices and Wireless Sensor Networks.- Using In-built RFID/NFC, Cameras, and 3D Accelerometers as Mobile Phone Sensors.- Sensor Networks for Distributed Computing.- Parking Assistant Application.- Power Consumption in Mobile Devices.- Energy Efficiency of Video Decoder Implementations.- External Energy Consumption Measurements on Mobile Phones.- Optimizing Mobile Software with Built-in Power Profiling.