@inproceedings{4f6b379401d04ebf978bde4b0eea75e3,
title = "An Energy-Efficient WSN Routing Protocol Using Genetic Algorithms and Predictive Coding",
abstract = "In order to achieve the most energy-efficient outcomes for wireless sensor networks (WSNs), this study suggests a unique energy-efficient routing protocol based on artificial inelegance approaches. The main goal of the project is to create a new routing protocol that will extend the lifetime of the network by reducing energy consumption through data compression and balanced energy usage. Next, utilizing the simulation tool in wireless sensor networks, the simulation is carried out for the suggested model. The network lifetime in the simulation scenarios is presented by the suggested model, which is assessed in the simulations based on the energy consumption of the network, the quantity of dead nodes, the throughput of the network, and the network{\textquoteright}s delay versus the number of rounds in the network.",
keywords = "Energy Efficiency, Genetic Algorithm, Predictive Coding, Routing Protocol, Wireless Sensor Networks",
author = "Behzad Oveisi and Michel Kadoch and Qia Li and Tao Hong",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 3rd International Conference on Information Processing and Network Provisioning, ICIPNP 2024 ; Conference date: 14-06-2024 Through 16-06-2024",
year = "2025",
doi = "10.1007/978-981-96-6459-7\_1",
language = "英语",
isbn = "9789819664580",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1--14",
editor = "Michel Kadoch and Mohamed Cheriet and Xuesong Qiu",
booktitle = "Information Processing and Network Provisioning - 3rd International Conference, ICIPNP 2024, Proceedings",
address = "德国",
}