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| 한글제목(Korean Title) |
Energy Efficient UAVs and Internet of Everything Networks Deployment via Genetic Algorithm |
| 영문제목(English Title) |
Energy Efficient UAVs and Internet of Everything Networks Deployment via Genetic Algorithm |
| 저자(Author) |
Sheikh Salman Hassan
Umer Majeed
Choong Seon Hong
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| 원문수록처(Citation) |
VOL 49 NO. 01 PP. 0181 ~ 0183 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Internet of Everything (IoE) plays a significant role in integrating the cyber and physical worlds in this period of advanced technology, where communication between physical objects is critical. Through the deployment of smart sensor networks (SSN), IoE is employed in a variety of applications such as agriculture, smart homes, and smart cities. However, sometimes personal administration of the network becomes infeasible due to adverse circumstances, then the life cycle of installed IoE is crucial. Conserving the energy required by IoE is critical for extending the network’s life cycle. The purpose of this work is to address the difficult problem of lowering IoE energy usage (EU) on a large scale. This paper provides mixed-integer linear programming (MILP) optimization problem for controlling the EU of IoE. We employ the Genetic Algorithm (GA) to tackle the NP-hard issue of minimizing EU with low complexity. The suggested technique for tackling the EU problem is adaptable and effective, and it assists the IoE network’s aim of minimum EU and long system lifespan. |
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