@inproceedings{551ef1c5d6764de9be472ce77596a122,
title = "Optimization Scheme for Power Transmission in Wireless Sensor Network",
abstract = "Wireless Sensor Networks (WSNs) are networks of sensors that can sense a dynamic process and send the measured data over a common channel to a central base station. As the number of devices increases exponentially, the energy efficiency of WSN clusters needs to be considered. The transmission power refers to the total allowable output power of the sensors to send information packets. Consider the power transmission problem for a fully connected cluster, with the goal of finding the minimum transmission power for each node in a given cluster without disrupting the network. In order to obtain a more effective optimal solution for the mentioned problem, ten different cases are studied using five optimization algorithms. The optimization algorithm is repeatedly tested to find the global minima of the fitness function. The study emphasises that the artificial ecosystem optimizer is the best fit for the mentioned model in all 10 cases. The average energy saved in transmission by the best performing algorithm is about 6.4 dBm.",
keywords = "Optimization algorithm, Power transmission, Wireless Sensor Network, artificial ecosystem optimizer.",
author = "Yadav, {Anshul Kumar} and Akshita Sharma and Anurag Yadav and Ankit Vijayvargiya and Aakash Saxena and Rajesh Kumar",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Power, Instrumentation, Energy and Control, PIECON 2023 ; Conference date: 10-02-2023 Through 12-02-2023",
year = "2023",
doi = "10.1109/PIECON56912.2023.10085758",
language = "English",
series = "2023 International Conference on Power, Instrumentation, Energy and Control, PIECON 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Conference on Power, Instrumentation, Energy and Control, PIECON 2023",
address = "United States",
}
