Optimization of the Energy Consumption of Connected Objects

被引:0
|
作者
Moutaib M. [1 ]
Ahajjam T. [1 ]
Fattah M. [1 ]
Farhaoui Y. [1 ]
Aghoutane B. [1 ]
Bekkali M.E. [2 ]
机构
[1] University of Moulay Ismail, Meknes
[2] Sidi Mohamed Ben Abdellah University, Fez
关键词
cloud computing; IOT; RFID; WSN;
D O I
10.3991/IJIM.V15I24.26985
中图分类号
学科分类号
摘要
The IoT is a growing new approach that has been defined as a global network of devices and machines capable of reliably communicating with each other without human intervention. It is one of the essential technologies in any field, such as medicine and attracts great attention in the future. It is applied in several areas that have achieved success. However, the power and the addition of connected objects to technology is based on the fact that its objects can establish several tasks: communicate, analyze, process and manage data in a parallel manner, which is very difficult in terms of energy consumption. Therefore, the problems related to consumption slow down considerably the evolution and the fast deployment of this high technology. Therefore, it is necessary to create a new lightweight and robust mechanism, which ensures the minimization of the consumption of the objects and makes these objects efficient and less costly while being adapted to the capacities of objects and technologies. That is why our paper aims to address this significant problem and present the role of energy consumption, which is essential in deploying successful IoT products and services and presenting the IoT categories for applications. First, we propose a method that minimizes energy consumption and meets our need through three essential steps: firstly, to study the existing methods to minimize energy consumption. Next, based on these methods, we create a new concept using the data flows. Finally, we implement our solution in an intelligent parking lot to carry out our approach and describe our design steps and conclude with the result of our study and make an interpretation that summarizes our work. © 2021. All Rights Reserved.
引用
收藏
页码:176 / 190
页数:14
相关论文
共 50 条
  • [1] A location-based fog computing optimization of energy management in smart buildings: DEVS modeling and design of connected objects
    Maatoug, Abdelfettah
    Belalem, Ghalem
    Mahmoudi, Said
    FRONTIERS OF COMPUTER SCIENCE, 2023, 17 (02)
  • [2] A location-based fog computing optimization of energy management in smart buildings: DEVS modeling and design of connected objects
    Abdelfettah Maatoug
    Ghalem Belalem
    Saïd Mahmoudi
    Frontiers of Computer Science, 2023, 17
  • [3] Smart Optimization of Energy Consumption using IoT
    Frank, Anilloy
    Asuncion, Rolito
    Frank, Mevina
    2019 2ND IEEE MIDDLE EAST AND NORTH AFRICA COMMUNICATIONS CONFERENCE (IEEEMENACOMM'19), 2019, : 251 - 256
  • [4] SCORE: Simulator for cloud optimization of resources and energy consumption
    Fernandez-Cerero, Damian
    Fernandez-Montes, Alejandro
    Jakobik, Agnieszka
    Kolodziej, Joanna
    Toro, Miguel
    SIMULATION MODELLING PRACTICE AND THEORY, 2018, 82 : 160 - 173
  • [5] Evolutionary Optimization of Energy Consumption and Makespan of Workflow Execution in Clouds
    Xing, Lining
    Li, Jun
    Cai, Zhaoquan
    Hou, Feng
    MATHEMATICS, 2023, 11 (09)
  • [6] Energy consumption and quality of service optimization in containerized cloud computing
    Canosa, Rewer
    Tchernykh, Andrei
    Cortes-Mendoza, Jorge M.
    Rivera-Rodriguez, Raul
    Lozano Rizk, Jose
    Avetisyan, Arutyun
    Du, Zhihui
    Radchenko, Gleb
    Concepcion Morales, Eduardo R.
    2018 IVANNIKOV ISPRAS OPEN CONFERENCE (ISPRAS), 2018, : 47 - 55
  • [7] A task distribution algorithm for energy consumption optimization of MapReduce system
    Song J.
    Xu S.
    Guo C.-P.
    Bao Y.-B.
    Yu G.
    Jisuanji Xuebao/Chinese Journal of Computers, 2016, 39 (02): : 323 - 338
  • [8] Sphere: Simulator of edge infrastructures for the optimization of performance and resources energy consumption
    Fernandez-Cerero, Damian
    Fernandez-Montes, Alejandro
    Javier Ortega, F.
    Jakobik, Agnieszka
    Widlak, Adrian
    SIMULATION MODELLING PRACTICE AND THEORY, 2020, 101
  • [9] Phase Space based Energy Consumption Model and Optimization Analysis in Clouds
    Zheng, Meiguang
    Chang, Chenglong
    Yang, Jiao
    Tao, Yong
    2018 IEEE 24TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2018), 2018, : 186 - 193
  • [10] Analysis of Energy Consumption in Sensor networks using transmission range optimization
    Sudarmani, R.
    Kumar, K. R. Shankar
    RECENT ADVANCES IN NETWORKING, VLSI AND SIGNAL PROCESSING, 2010, : 172 - +