Low-earth-orbiting leo satellites , Computer Networking

LOW-Earth Orbiting have more advantageous in Mobile based communication devices like PDAs, Cell phones and automobile communications. The LOW-Earth Orbiting is a satellite of orbit of few hundred miles. It takes very less time for taking the round trip, as are the power requirements for earth-bound communication devices. The LEO earth orbit moves very fast due to their orbit. So due to this reason the fleet surface is needed to maintain the communications. When LOW earth orbit moves out of area the other one moves in.

 

Posted Date: 7/10/2012 8:49:40 AM | Location : United States







Related Discussions:- Low-earth-orbiting leo satellites , Assignment Help, Ask Question on Low-earth-orbiting leo satellites , Get Answer, Expert's Help, Low-earth-orbiting leo satellites Discussions

Write discussion on Low-earth-orbiting leo satellites
Your posts are moderated
Related Questions
Uneven Load Distribution In the parallel computer, the problem is dividing into sub-problems and is assigned for computation to various processors. But sometimes the sub-probl

It's a Hybrid device that joins the features of both bridges and routers.

Question 1: (a) Explain what is meant by circuit switching? Give its main shortcoming and explain its relevance in telephone systems. (b) Outline the differences betwee


Q. Straight through Lan Cable ? Straight through Cable - Maintain the pin connection each the way through the cable. - The wire connected to pin 1 is the similar on bo

objective practical questios answers

Assume a network as depicted below with a home agent (HA), a foreign agent (FA), a mobile host (MH), and a remote host (RH). The dotted box is the home location of MH. Assume MH's

Can I get help for traffic congestion anlysis using GIS

(a ) Std "A" 16.4 m C-BAND EARTH STATION (1996) This is the main system of this station and provides connectivity to most of the countries through dedicated transponder channe

Random forests : An ensemble of the classification or the regression trees (see the classification and regression tree methods) that have been fitted to the same n observations, bu