Hybrid Chaotic Salp Swarm with Crossover Algorithm for Underground Wireless Sensor Networks

作     者：Mariem Ayedi Walaa H.ElAshmawi Esraa Eldesouky 

作者机构：First Department of Computer ScienceCollege of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia MEDIATRON Lab.SUP’COMCarthage UniversityTunis2083Tunisia Department of Computer ScienceFaculty of Computers and InformaticsSuez Canal UniversityIsmailia41522Egypt Faculty of Computer ScienceMisr International UniversityCairoEgypt 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第72卷第8期

页      面：2963-2980页

核心收录：

学科分类：0810[工学-信息与通信工程] 0711[理学-系统科学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Underground wireless sensor networks resource efficiency chaotic theory crossover algorithm salp swarm algorithm 

摘      要：Resource management in Underground Wireless Sensor Networks(UWSNs)is one of the pillars to extend the network *** intriguing design goal for such networks is to achieve balanced energy and spectral resource *** paper focuses on optimizing the resource efficiency in UWSNs where underground relay nodes amplify and forward sensed data,received from the buried source nodes through a lossy soil medium,to the aboveground base station.A new algorithm called the Hybrid Chaotic Salp Swarm and Crossover(HCSSC)algorithm is proposed to obtain the optimal source and relay transmission powers to maximize the network resource *** proposed algorithm improves the standard Salp Swarm Algorithm(SSA)by considering a chaotic map to initialize the population along with performing the crossover technique in the position updates of *** experimental results,the HCSSC algorithm proves its outstanding superiority to the standard SSA for resource efficiency ***,the network’s lifetime is ***,the proposed algorithm achieves an improvement performance of 23.6%and 20.4%for the resource efficiency and average remaining relay battery per transmission,***,simulation results demonstrate that the HCSSC algorithm proves its efficacy in the case of both equal and different node battery capacities.