Data Downloading on the Sparse Coverage-Based Wireless Networks

Infostation, hotspot, and drive-thru internet are examples of sparse coverage-based wireless networks. These wireless communication networks provide low-cost, delay insensitive high data rate services intermittently withdiscontinuous coverage. Radio propagation parameters, velocity of the user, distance between the user, and accesspoint are the key factors that affect the throughput and the amount of information downloaded from such sparsecoverage-based wireless networks. To evaluate the performance of such wireless communication networks analyticallythe impact of above mentioned factors can be modeled with simplified relationship model such as receivedsignal strength versus distance or signal to noise ratio versus throughput. In the paper, we exploit the relationship betweenthroughput and distance and develop two throughput distance relationship models to evaluate the performance ofmultirate wireless networks. These two throughput distance relationship models are used in calculation of averagethroughput as well as downloaded file size. Numerical values are presented for the IEEE 802.11n standard. Thenumerical results verify that the new proposed technique can be used as an alternative to the simulations to evaluatethe performance of sparse coverage-based wireless networks