{'fraction_non_alphanumeric': 0.016332590942835932, 'fraction_numerical': 0.0007423904974016332, 'mean_word_length': 5.877551020408164, '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}}
Implementation of energy efficient data compression in cluster based wireless sensor network

In these modern days finding changes in environmental parameter is become most challenging and important too. Wireless Sensor Networks (WSNs) finds suitable application in the field of environmental monitoring. A sensor network comprising of sensing, communication and computing elements that enables an administrator the ability to instrument, observe, and react to the events and phenomena in a specified environment. Administrator typically might be a governmental, commercial, civil, or industrial entity. Here the environment may be physical world, a biological system, or an information technology framework. Environmental monitoring is a continuous monitoring process for several months or even years. To suite this requirement Proposed system come up with the new model for environmental monitoring applications, which uses the hierarchical routing, Prediction technique and finally Compression and De­compression technique which ensures the longer network lifetime and better quality of service. In this paper the proposed system discuss about WSN and its implementation using NS2 simulation. Through the simulation results it is shown that proposed system better suits for WSNs and its implementation for environmental monitoring applications.