{'fraction_non_alphanumeric': 0.019417475728155338, 'fraction_numerical': 0.0, 'mean_word_length': 5.261682242990654, '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}}
Hybrid Approach to Enhance Architecture Supporting WSN Using AODV AND DPR

Wireless ad-hoc networks are highly resource constrained in terms of network topology, throughput and computation energy. A wireless sensor network (WSN) is a highly constrained wireless ad-hoc network. Due to the constraints in Wireless sensor networks such as throughput, energy consumption, there is an essential need for effective communication techniques for improvement of quality of collected data. Routing protocols from this perspective have a very important role in wireless sensor networks. Reliable dissemination of data in a short time interval to base station (BS) is need of sensors in sensor networks in order to quickly respond to the transmitted information by user from time to time because the information that arrives out of time may cause huge disastrous. So, this thesis will focus on the various routing protocols like AODV and DPR for energy efficiency and throughput maximization. Also the use of Neural Networks is done for the reduction of overloaded nodes. The performance of the proposed technique is based on the various parameters like packet loss ratio, throughput, Overloaded nodes, Mac Collision rate and energy Consumption. The experimental simulation is taken place in MATLAB environment. Keywords-AODV, DPR, ENERGY, THROUGHPUT