{'fraction_non_alphanumeric': 0.014285714285714285, 'fraction_numerical': 0.0, 'mean_word_length': 5.3689839572192515, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Effect of dispersion coefficient on underwater network size estimation

In underwater wireless communication networks, a large number of nodes are deployed in different forms to cover small or large areas of interest for various practical applications. The proper accomplishment of those applications depends on the number of active nodes at any time of instant. But due to the harshness of underwater environment such as high absorption, reflections, refractions, dispersion, the number of active node can vary over time. However, node estimation has become difficult using existing terrestrial protocols. A technique was performed for node estimation considering equal receive power of the signals where the receivers receive equal amount of power. But sometimes it becomes hard to achieve equal receive power at receivers due to the distance-dependent attenuations. So we propose a node estimation technique considering the effect of dispersion coefficient which is the main factor of the distance-dependent attenuation. In this method, we will consider White Gaussian signal as transmitted signal where all the transmitted signals from the nodes will be considered as of equal strength.