Adaptive virtual MIMO-based cross-layer design for wireless sensor networks via hybrid optimization model  

作　　者：Monali Prajapati Jay Joshi 

机构地区：[1]Electronics&Communication Gujarat Technological University,India [2]Electronics&Communication Bhagwan Mahavir Polytechnic,Vesu,Surat,India

出　　处：《International Journal of Modeling, Simulation, and Scientific Computing》2021年第2期20-39,共20页建模、仿真和科学计算国际期刊（英文）

摘　　要：In recent times,many MAC protocols were implemented for boosting and improving energy efficiency(EE)in WSNs.Moreover,the cooperative MIMO method is found to be much capable of enhancing the EE of WSNs if configured properly.This paper intends to propose cross-layer design for multihop virtual MIMO system to enhance the end-to-end(ETE)reliability,EE,and QoS of the adopted WSN.The protocol is set here to focus on the energy utilization for transmission of data packets by optimal selection of transmission constraints for each node of the network.Moreover,the protocol’s ETE latency and throughput are also modeled as the dependent variables of BER performance of every link.To discover the improved BER criteria of each link that meets the ETE QoS requirement in reduced energy utilization,this paper employs a new hybrid optimization algorithm named Lion Mutated Dragonfly Algorithm(LM–DA)that is a hybrid variant of both Lion Algorithm(LA)and Dragonfly Algorithm(DA).Finally,the performance of the adopted scheme is validated over other state-of-the-art models.The results state that the energy consumed by the adopted LM–DA approach is about 2.65%,1.77%,and 1.77%reduced over LA,PSO,and DA schemes,respectively.

关 键 词：MIMO QoS provisioning energy utilization LATENCY BIT-ERROR-RATE LM-DA 

分 类 号：TN9[电子电信—信息与通信工程]