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Distributed wireless sensor networks are a new technology that can provide processed real-time field data from sensors that are physically distributed in the field. This study describes a wireless distributed sensor network that gives precision rainfall detection and measurement. Rain fall measurements can be done using a variety of means. One of such means is using a Tipping Bucket Rain Gauge Mechanism. In order to accomplish this, sensor nodes consisting of water level sensors and a wireless transceiver which transmits measured data is attached to the rain gauge. The measured data or signal from the rain gauge is transmitted to a receiver or collector point. The collector point is connected to a computer system (central station). Data retrieved is then displayed by the means of a GUI created customarily for it at the central station. The result of the research work shows a significant accuracy in the rain fall measurement recorded.

This paper presents specialized means to analyze, model and research of data exchange in large-scale corporate computer network. Due to extreme complexity of corporate intranet networks and the internet has resulted in the apparent difficulties in the development of an analytical model. Thus, under these circumstances, simulation models became viable alternative to comprehend the behavior of these complex networks during data exchange. This research work examined the mode of data exchange since its perfection allows in many cases to obtain a considerable improvement of the network and also the network application performance without substantial additional expenditure. Hence, the need for this developed algorithm for increasing the efficiency of data exchange in a computer network and the appropriate topology that suite this case. Test results from the algorithm showed an average of 10 to 15% increase and occasionally 60% and above increase in data exchange efficiency without additional expenses.

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