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作者机构:Department of Computer ScienceFAST National University of Computer and Emerging Sciences(NUCES)KarachiPakistan Dr.A.Q.Khan Institute of Computer Sciences and Information TechnologyKahutaPakistan Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala Lumpur50603Malaysia Department of Computer ScienceCOMSATS University IslamabadIslamabadPakistan Deanship of Scientific ResearchKing Saud UniversityRiyadhSaudi Arabia Department of Information TechnologyCollege of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia Faculty of Computing and InformaticsUniversiti Malaysia SabahKota KinabaluSabahMalaysia
出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))
年 卷 期:2021年第69卷第10期
页 面:1301-1322页
核心收录:
学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
基 金:The authors are grateful to the Deanship of Scientific Research and King Saud University for funding this research The author are also grateful to Taif University Researchers Supporting Project number(TURSP-2020/215),Taif University,Taif,Saudi Arabia This research work was also partially supported by the Faculty of Computer Science and Information Technology,University of Malaya under Postgraduate Research Grant(PG035-2016A)
摘 要:Underwater acoustic sensor network(UASN)refers to a procedure that promotes a broad spectrum of aquatic *** can be practically applied in seismic checking,ocean mine identification,resource exploration,pollution checking,and disaster *** confronts many difficulties and issues,such as low bandwidth,node movements,propagation delay,3D arrangement,energy limitation,and high-cost production and arrangement costs caused by antagonistic underwater *** wireless sensor networks(UWSNs)are considered a major issue being encountered in energy management because of the limited battery power of their ***,the harsh underwater environment requires vendors to design and deploy energy-hungry devices to fulfil the communication requirements and maintain an acceptable quality of ***,increased transmission power levels result in higher channel interference,thereby increasing packet *** the facts mentioned above,this research presents a controlled transmission power-based sparsity-aware energy-efficient clustering in *** contributions of this technique is ***,it uses the adaptive power control mechanism to utilize the sensor nodes’battery and reduce channel interference ***,thresholds are defined to ensure successful ***,clustering can be implemented in dense areas to decrease the repetitive transmission that ultimately affects the energy consumption of nodes and interference ***,mobile sinks are deployed to gather information locally to achieve the previously mentioned *** suggested protocol is meticulously examined through extensive simulations and is validated through comparison with other advanced UWSN *** show that the suggested protocol outperforms other procedures in terms of network lifetime and packet delivery ratio.