Building Wireless Grids

Author:

Littman Marlyn Kemper1

Affiliation:

1. Nova Southeastern University, USA

Abstract

The accelerating implementation and remarkable popularity of sophisticated mobile devices, including notebook computers, cellular phones, sensors, cameras, portable GPS (Global Positioning System) receivers, and wireless handhelds such as PDAs (personal digital assistants), contribute to development of wireless grids. Wireless grids feature a flexible and adaptable cyberinfrastructure that supports coordinated and economical access to distributed resources and next-generation applications and services. Generally, wireless grids are classified as ad hoc or standalone, and mixed-mode or hybrid. Ad hoc wireless grids enable diverse applications via MANETs (mobile ad hoc networks) and consist of mobile devices that operate in infrastructureless environments. Mobile network nodes process tasks and provide best effort delivery service to support wireless grid applications (Lima, Gomes, Ziviani, Endler, Soares, & Schulze, 2005). In the healthcare environment, for example, ad hoc wireless grids equipped with sensors monitor the status of critically ill patients and track the location of hospital equipment and supplies. Hybrid or mixed-mode wireless grids augment and extend the capabilities of wireline grids to remote locations; facilitate the shared use of resources and processing power; and consist of components ranging from supercomputers to distributed or edge devices such as very small satellite aperture terminals (VSATs) (Harrison & Taylor, 2006). This chapter features an introduction to factors contributing to the development of present-day wireless grids. Wireless grid technical fundamentals, specifications, and operations are examined. Security challenges associated with safeguarding wireless grids are reviewed. Finally, the distinctive characteristics of innovative wireless grid initiatives are explored and research trends in the wireless grid space are described.

Publisher

IGI Global

Reference20 articles.

1. Amoretti, M., Zanichelli, F., & Conte, G. (2006). SP2A: A service-oriented framework for P2P-based grids. In Proceedings of the 3rd International Workshop on Middleware for Grid Computing. Grenoble, France.

2. Aydin, G., Zhigang, Q., Pierce, M., Bock, Y., & Fox, G. (2007). Building a sensor grid for real time global positioning system data. In Proceedings of Workshop on Principles of Pervasive Information Systems Design in conjunction with Pervasive 2007. Toronto, Ontario, Canada.

3. Chu, D., & Humphrey, M. (2004). Mobile OGSI.NET: Grid computing on mobile devices. In Proceedings of the 5th IEEE/ACM international Workshop on Grid Computing. Pittsburgh, PA, USA.

4. Integrating wireless sensor networks with the grid

5. Geer, D. (2006). LOOKING at the other three-fourths of the world, through ORION. IEEE Distributed Systems Online, 7(4), article number 0406-04005.

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