A Neural Network-Based Mobile Architecture for Mobile Agents

A Neural Network-Based Mobile Architecture for Mobile Agents

Anand Kuppuswami (University of Western Sydney, Australia)
Copyright: © 2009 |Pages: 12
DOI: 10.4018/978-1-60566-054-7.ch053


Wide area network (WAN) offers advantages like providing myriad services available on globally diversified computers with reasonably simple process. The ability to dynamically create networks offers the processing powers of various processors at our command. With the advent of protocols like SOAP and Web services, the consumption of services are more organized. In spite of various advances in communication techniques, the consumption of services through mobile gadgets is still only at the research level. The major impedances in implementing such systems on a mobile network are the latency factor, abrupt disconnection in service, lower bandwidth and minimal processing power. The mobile agent’s paradigm proves to be an effective solution to various issues raised. It has received serious attention in the last decade and several systems based on this paradigm have been proposed and built. All such systems have been designed for a static network, where the service providers and the requestors are connected to the server on a permanent basis. This chapter presents a new framework of managing the mobile environment and the participating nodes with active intelligent migration. The functioning of the mobile agents in such a scenario is also presented.

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