Login Register Cart 0
Generic placeholder image

International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

Swarm Algorithm-based Power Optimization in Cooperative Communication Network

Author(s): Sonika Pahuja* and Poonam Jindal

Volume 13, Issue 5, 2023

Published on: 20 October, 2023

Page: [285 - 295] Pages: 11

DOI: 10.2174/0122103279260104230929103737

Price: $65

conference banner
Abstract

Background: Due to the environmental effects, the signal fades abruptly and is sometimes lost in the transmission path, which results in weak signal reception at the destination node. The Cooperative Communication Network (CCN) overcomes this problem and provides better spectral efficiency. The source node and the helper node both send the information to the receiver. In spite of many advantages, there are some limitations to such networks. Improving the system efficiency by power, energy, or relay selection optimization is quite desirable as multiple helper nodes are used in the network. Considering this crucial requirement of optimization, the proposed work presents optimal power allocation of the system.

Methods: Here, tunicate-swarm optimization is implemented to improve the system parameters, symbol error rate (SER), outage probability, and bit error rate (BER). Two relaying protocols are used for analysis, i.e., Amplify-and-Forward (AF) and Differential AF (Diff-AF), with two combining schemes: Selection-Combining (SC) and Maximal-Ratio-Combining (MRC).

Results: The results obtained are further compared with other metaheuristics algorithms, such as Particle- Swarm-Algorithm (PSO), Black-Widow-Optimization (BWO), and the traditional method of Equal-Power-Allocation (EPA).

Conclusion: The simulation result shows that the proposed algorithm improves the system parameters compared to algorithms with less time.

Next »
Graphical Abstract

[1]
Durgarao T, Lakshmi TJN. Wireless-powered relaying communication based on MIMO-OFDM: A comprehensive survey. 5th International Conference on Smart Systems and Inventive Technology (ICSSIT). 1-8.
[http://dx.doi.org/10.1109/ICSSIT55814.2023.10060888]
[2]
Pahuja S, Jindal P. Cooperative communication in physical layer security: Technologies and challenges. Wirel Pers Commun 2019; 108(2): 811-37.
[http://dx.doi.org/10.1007/s11277-019-06430-x]
[3]
Hussain S, Bhadri N, Hussain MS. Advancements in wireless communication. International Journal of Electronics and Communication Engineering 2020; 7(9): 1-4.
[http://dx.doi.org/10.14445/23488549/IJECE-V7I9P101]
[4]
Jha RK, Pedhadiya MK, Dogra A, Kour H. Puja. Joint resource and power allocation for 5G enabled D2D networking with NOMA. Comput Netw 2023; 222: 109536.
[http://dx.doi.org/10.1016/j.comnet.2022.109536]
[5]
Liu Z, Tian Q, Xie Y, Chan KY. Outage probability minimization for vehicular networks via joint clustering, UAV trajectory optimization and power allocation. Ad Hoc Netw 2023; 140: 103060.
[http://dx.doi.org/10.1016/j.adhoc.2022.103060]
[6]
Taneja A, Saluja N. A transmit antenna selection based energy-harvesting mimo cooperative communication system. J Inst Electron Telecommun Eng 2023; 69(1): 368-77.
[http://dx.doi.org/10.1080/03772063.2020.1822217]
[7]
Wakil K, Nazif H, Panahi S, Abnoosian K, Sheikhi S. Method for replica selection in the Internet of Things using a hybrid optimisation algorithm. IET Commun 2019; 13(17): 2820-6.
[http://dx.doi.org/10.1049/iet-com.2019.0345]
[8]
Lu W, Xu X, Ye Q, et al. Power optimisation in UAV‐assisted wireless powered cooperative mobile edge computing systems. IET Commun 2020; 14(15): 2516-23.
[http://dx.doi.org/10.1049/iet-com.2019.1063]
[9]
Pahuja S, Jindal P. Green Communication for Wireless Cooperative Networks: A Survey. In: Fong S, Akashe S, Eds. Information and Communication Technology for Competitive Strategies. Springer LNNS 2019; p. 40.
[10]
Kamboj AK, Jindal P, Verma P. Intelligent physical layer secure relay selection for wireless cooperative networks with multiple eavesdroppers. Wirel Pers Commun 2021; 120(3): 2449-72.
[http://dx.doi.org/10.1007/s11277-021-08458-4]
[11]
Gao H, Zhang S, Su Y, Diao M. Joint resource allocation and power control algorithm for cooperative D2D heterogeneous networks. IEEE Access 2019; PP(99): 1-1.
[http://dx.doi.org/10.1109/ACCESS.2019.2895975]
[12]
Shemi PM, Ali MA. Secrecy enhancement in cooperative networks via relay selection and power allocation. J Commun Technol Electron 2020; 11(4): 2257-62.
[13]
Ojo FK, Akande DO, Salleh MFM. Optimal power allocation in cooperative networks with energy-saving protocols. IEEE Trans Vehicular Technol 2020; 69(5): 5079-88.
[http://dx.doi.org/10.1109/TVT.2020.2978576]
[14]
Chen G, Chen G. An improved sparrow algorithm based on small habitats in cooperative communication power allocation. Electronics (Basel) 2023; 12(5): 1153.
[http://dx.doi.org/10.3390/electronics12051153]
[15]
Bharadwaj NN, Lal JD, Charhate SV. Optimal power allocation using pso in cooperative wireless networks. Proceedings of the International Conference on Inventive Research in Computing Applications.
[http://dx.doi.org/10.1109/ICIRCA.2018.8596775]
[16]
Garcia CE, Camana MR, Koo I. Relay selection and power allocation for secrecy sum rate maximization in underlying cognitive radio with cooperative relaying NOMA. Neurocomputing 2021; 452: 756-67.
[http://dx.doi.org/10.1016/j.neucom.2020.08.082]
[17]
Rahman M, Lee Y, Koo I. Joint relay selection and power allocation through a genetic algorithm for secure cooperative cognitive radio networks. Sensors (Basel) 2018; 18(11): 3934.
[http://dx.doi.org/10.3390/s18113934] [PMID: 30441817]
[18]
Ara HA, Zahabi MR, Meghdadi V. Joint power-location optimization in AF cooperative relay systems with Nakagami-m channel. Phys Commun 2020; 40: 101067.
[http://dx.doi.org/10.1016/j.phycom.2020.101067]
[19]
Lal MJD, Thankachan DD. Comparison of various techniques with PSO based power allocation strategy in cooperative wireless networks. Int J Res Appl Sci Eng Technol 2022; 10(2): 469-75.
[http://dx.doi.org/10.22214/ijraset.2022.40264]
[20]
Noordin K A B, Hindia MN, Qamar F, Dimyati K. Power allocation scheme using PSO for amplify and forward cooperative relaying network K. Arai , et al. AISC 2019; 857: pp. 636-47.
[http://dx.doi.org/10.1007/978-3-030-01177-2_47.9]
[21]
Elhattab M, Arfaoui MA, Assi C, Ghrayeb A, Qaraqe M. On optimizing the power allocation and the decoding order in uplink cooperative NOMA arXiv:220313100v1 2022.
[22]
Vani BL, Naidu KR. Particle swarm optimization based power allocation in multi-hop cooperative af relaying networks. Int J Adv Res Comput Commun Eng 2018.
[23]
Zhuo WU, Hong-bing Y. Power allocation of cooperative amplify-and-forward communications with multiple relays. J China Univ Post Telecommun 2011; 18(4): 65-9.
[http://dx.doi.org/10.1016/S1005-8885(10)60085-4]
[24]
Avendi MR, Nguyen HH. Performance of differential amplify-and-forward relaying in multi-node wireless communications arXiv:14038128v1 2014.
[25]
Avendi MR, Nguyen HH. Selection Combining for Differential Amplify-and-Forward Relaying Over Rayleigh-Fading Channels Signal Processing Letters. IEEE 2013.
[http://dx.doi.org/10.1109/LSP.2013.2244882]
[26]
Hayyolalam V, Pourhaji Kazem AA. Black widow optimization algorithm: A novel meta-heuristic approach for solving engineering optimization problems. Eng Appl Artif Intell 2020; 87: 103249.
[http://dx.doi.org/10.1016/j.engappai.2019.103249]
[27]
Kaur S, Awasthi LK, Sangal AL, Dhiman G. Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization. Eng Appl Artif Intell 2020; 90: 103541.
[http://dx.doi.org/10.1016/j.engappai.2020.103541]
[28]
Dhiman G. Tunicate Swarm Algorithm (TSA) 2022. Available from: https://www.mathworks.com/matlabcentral/fileexchange/75182-tunicate-swarm-algorithm-tsa
[29]
Hemanand D, Senthilkumar C, Saleh OS, Muthuraj B, Anand A, Velmurugan V. Analysis of power optimization and enhanced routing protocols for wireless sensor networks. Measurement. Sensors 2023; 25: 100610.
[http://dx.doi.org/10.1016/j.measen.2022.100610]
[30]
Li Q, Shang T, Tang T. Adaptive optimal power allocation scheme based on intelligent user association for NOMA-VLC systems. Opt Switching Networking 2023; 47: 100714.
[http://dx.doi.org/10.1016/j.osn.2022.100714]
[31]
Xing W, Zhao X, Liu L. Optimal denial-of-service attack power allocation strategy for remote state estimation in CPSs With two-hop networks. IEEE Trans Green Commun Netw 2023; 1.
[http://dx.doi.org/10.1109/TGCN.2023.3235118]
[32]
Guo W, Qureshi NMF, Siddiqui IF, Shin DR. Cooperative communication resource allocation strategies for 5G and beyond networks: A review of architecture, challenges and opportunities. J King Saud Uni - Comput Sci Inf 2022; 34(10): 8054-78.
[33]
Banumathi J, Sangeetha SKB, Dhaya R. Robust cooperative spectrum sensing techniques for a practical framework employing cognitive radios in 5G networks. Artificil intelligent techniques for wireless communication and networking 2022; pp. 121-38.
[34]
Fang Yi, Chen Wang, Chen Pingping, Tao Yiwei. SR-DCSK cooperative communication system with code index modulation: A new design for 6G radios. arXiv 2022; 2208,12970.
[35]
Radhakrishnan K, Ramakrishnan D, Khalaf O I, Uddin M, Chen Chin-Ling, Wu Chih-Ming. A novel deep learning-based cooperative communication channel model for wireless underground sensor networks. Sensors (Basel) 2022; 22(12): 4475.
[http://dx.doi.org/10.3390/s22124475]
[36]
Sagir B, Aydin EH. IIhan. Deep-learning assisted reconfigurable intelligent surfaces for cooperative communication. IEEE Internet Things J 2023; 1-1.
[37]
He Jun, Li Jie, Zhu Xiaowu, Xiong S, Chen F. Design and analysis of an optical-acoustic cooperative communication system for an underwater remote-operated vehicle. Appl Sci 2022; 12(11): 5533.
[http://dx.doi.org/10.3390/app12115533]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy