scholarly journals An Energy-Efficient Dynamic Route Optimization Algorithm for Connected and Automated Vehicles Using Velocity-Space-Time Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 108866-108877 ◽  
Author(s):  
Chenglin Liu ◽  
Jianqiang Wang ◽  
Wenjuan Cai ◽  
Yuzhao Zhang
2021 ◽  
pp. 85-94
Author(s):  
Mohamed Elhoseny ◽  
◽  
◽  
X. Yuan

Energy efficiency is a significant challenge in mobile ad hoc networks (MANETs) design where the nodes move randomly with limited energy, leading to acceptable topology modifications. Clustering is a widely applied technique to accomplish energy efficiency in MANET. Therefore, this paper designs a new energy-efficient clustering protocol using an enhanced rain optimization algorithm (EECP-EROA) for MANET. The EROA technique is derived by integrating the Levy flight concept to the ROA to enhance global exploration abilities. In addition, the EECP-EROA technique intends to proficiently select CHs and the nearby nodes linked to the CH to generate clusters. Moreover, the EECP-EROA technique has derived an objective function with different input parameters. To showcase the superior performance of the EECP-EROA technique, a brief set of simulations takes place, and the results are inspected under varying aspects. The experimental values pointed out the betterment of the EECP-EROA technique over the other methods.


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