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Distributed wireless sensor node localization based on penguin search optimization

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2022年第1期30卷 50-62页

作者： Al Shayokh, Md Shin, Soo Young Kumoh Natl Inst Technol Dept IT Convergence Engn Gumi South Korea

Wireless sensor networks (WSNs) have become popular for sensing areas-of-interest and performing assigned tasks based on information on the location of sensor devices. Localization in WSNs is aimed at designating distinct geographical information to the inordinate nodes within a search area. Biologically inspired algorithms are being applied extensively in WSN localization to determine inordinate nodes more precisely while consuming minimal computation time. An optimization algorithm belonging to the metaheuristic class and named penguin search optimization (PeSOA) is presented in this paper. It utilizes the hunting approaches in a collaborative manner to determine the inordinate nodes within an area of interest. Subsequently, the proposed algorithm is compared with four popular algorithms, namely particle swarm optimization (PSO), binary particle swarm optimization (BPSO), bat algorithm (BA), and cuckoo search algorithm (CS). The comparison is based on two performance metrics: localization accuracy and computation time to determine inordinate nodes. The results obtained from the simulation illustrate that PeSOA outperforms the other algorithms, achieving an accuracy higher than 30%. In terms of computation time to determine inordinate nodes, the proposed algorithm requires 28% less time (on average) than the other algorithms do.

关键词： Wireless sensor networks localization penguin search algorithm optimization computation time

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A Novel MultiObjective Control of Microgrid with Battery Enabled Hybrid Sources 2

A Novel MultiObjective Control of Microgrid with Battery Ena...

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2nd IEEE International Power and Renewable Energy Conference (IPRECON)

作者： Bhattacharya, Anagha Chatterjee, Debashis Goswami, Swapan Kumar NIT Mizoram Dept EEE Aizawl India Jadavpur Univ Dept Elect Engn Kolkata India

ISBN: (纸本)9781665401371

Microgrid (MG) is a small generating system that can work for both islanding and grid-connected mode. With the increasing price and demand of conventional power generation, scientists have switched their attention to extract power from renewable energies. The major challenge of MG operation is its control such that maximum power is delivered under fluctuating generation. In this paper, an optimal power-sharing method is presented for Solar Photovoltaic (PV), wind and Battery Energy Storage System (BESS). The proposed study is free of pollution and greenhouse emission which impacts positively in terms of the pollution aspects in nature. A proposed multiobjective function is developed to optimize and reduce the cost of the system. The proposed penguin search algorithm (PSA) gives better results in minimization of the economic cost associated with the generation of electricity from the microgrid. Further, a hierarchical control topology is introduced for each system so that frequency of operation is maintained under uncertain generation and demand conditions. The overall result is compared with standard optimization techniques like particle Swarm Optimization (PSO) and Bacteria Foraging Optimization (BFO) and found that PSA gives the best result.

关键词： Microgrid penguin search algorithm BESS Solar PV Hierarchical Control

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