## 1 Introduction
So, the transmission range for speeds of 5, 10, 20, and 30 knots of wind at the average bandwidth of the communication band dropped to 4218, 2947, 1804, and 1083 m respectively. There is a noticeable decreasing of the communication range compared to the noise level when we have a zero-speed velocity, the average value of which is 6414 m. At the 30 knots speed the communication radius is only one-sixth of this value. So, future designers of these networks should seriously consider the effect of wind noise, because 30 knot speed is not the highest possible wind speed in the oceans. [PERSON]'s theoretical predictions for noise levels based on rain's resistance is used to calculate the respective transmission range. The calculations for 0.1, 1 and 4 inches, give the respective average transmission range 1912, 595 and 203 m.  
Furthermore, we analyzed the case of seismic activity and biological noises. In the case of noise as a consequence of seismic activity, the average transmission range was 641, while in the case of shrimps was 265 m. So, these noises also have a significant impact on the acoustic underwater networks. The main conclusion of the study was the indisputable need that future designers of UWSN might consider the impact of intermittent noise. These noises are not always present in the ocean environment, but can influence a lot the network, for example, seismic activity, when a real-time transmission is needed. Our assessment is that in these networks is possible a very accurate transmission of information under normal conditions. We estimated that a noise signal ratio of 18.46 dB and with a transmission probability of 70% of the 4000 bit packet, is enough. Comparing this with the acoustic transmission power, which was 175.8 dB, the target SNR (Signal-to-Noise Ratio) ratio is low, enabling accurate transmission of large-range information. If appropriate measures are taken to deal with intermittent noises, UWSN can be very accurate in transmitting information. While in this paper, we present an improved algorithm of DEADS, that can be applied in many underwater environments and coastal areas with variation of salinity and temperature within a range of concrete values. The proposed solution is improving the transmission of the data generated by the sensing elements that will help measuring the capacity of the network in the shallow waters. The aim of the work is therefore to demonstrate the algorithm's performance, developed in a prototype way and tested with simulation, in a real scenario. Throughout this study are considered shallow underwater areas, i.e., those areas in which the network of sensor nodes for monitoring does not exceed 200 m depth. UWSN in these areas are mainly set up for purposes such as water surveillance, pollution detection for rivers and seas, defense during military attacks, monitoring, disaster prevention, underwater minerals extraction, ocean data compilation or commercial use. So, to simulate a network of nodes in shallow areas, the main features and problems of these areas must be taken into account. The remainder of the paper is organized as follows. Section 2 deals with features of underwater capacity, especially to the propagation of acoustic signal. An extended mathematical model including any parameters associated with the transmission channel signal, propagation along the path of acoustic communication and underwater main noises are presented at the Section 3. Formulas for SNR, acoustic channel capacity, underwater features related to multipath including loss due to reflections and some geo-acoustic properties for typical materials at the oceans bottom are also provided. The Section 4 shows the simulations of environmental/reflection effects as well as network behavior and performance metrics taken into account after using the modified algorithm. Section 5 presents the results of simulation as a function of salinity and temperature, and in presence of multi path. Section 6 discusses the results while, finally, the Conclusions ends this paper.