Improving the Power Consumption of Thread Mesh Networks Through Genetic Algorithm Optimization

被引:0
作者
Silva, Jair Adriano Lima [1 ]
Costa, Wesley [1 ]
Khan, Md Mazedul Islam [1 ]
Deters, Jan Kleine [1 ]
Bergsma, Ewout [1 ]
Rocha, Helder [2 ]
Noordhoek, Patrick [3 ]
Wortche, Heinrich [1 ,4 ]
机构
[1] Hanze Univ Appl Sci, Sensors & Smart Syst Grp, NL-9747 AS Groningen, Netherlands
[2] Fed Univ Espirito Santo UFES, LabTel, BR-29075910 Goiabeiras, Brazil
[3] Nord Semicond, NL-5595 AC Leende, Netherlands
[4] Eindhoven Univ Technol, Dept Elect Engn, NL-5612 AZ Eindhoven, Netherlands
关键词
Sensor networks; Internet-of-Things (IoT); optimization; power consumption; Thread network protocol; wireless connectivity; BUILDING AUTOMATION; INTERNET;
D O I
10.1109/LSENS.2024.3488652
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Reliability is a constraint of low-power wireless connectivity, commonly addressed by the deployment of mesh topology. Accordingly, power consumption becomes a major concern during the design and implementation of such networks. Thus, a mono-objective optimization was implemented in this work to decrease the total amount of power consumed by a low-power wireless mesh network based on Thread protocol. Using a genetic algorithm, the optimization procedure takes into account a predefined connectivity matrix, in which the possible distances between all network devices are considered. The experimental proof-of-concept shows that a mean gain of 26.45 dB is achievable in a specific scenario. Through our experimental results, we conclude that the Thread mesh protocol has much leeway to meet the low-power consumption requirement of wireless sensor networks.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems
    Vannucci, Marco
    Colla, Valentina
    Dettori, Stefano
    Iannino, Vincenzo
    JOURNAL OF INTELLIGENT SYSTEMS, 2020, 29 (01) : 409 - 422
  • [22] A genetic algorithm on multi-sensor networks lifetime optimization
    Pan, Yantao
    Peng, Wei
    Lu, Xicheng
    WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, PROCEEDINGS, 2006, 4138 : 295 - 306
  • [23] A network selection algorithm considering power consumption in hybrid wireless networks
    Joe, Inwhee
    Kim, Won-Tae
    Hong, Seokjoon
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2008, E91B (01) : 314 - 317
  • [24] POWER OPTIMIZATION OF FINITE STATE MACHINE BASED ON GENETIC ALGORITHM
    A. E. A. Almaini
    JournalofElectronics(China), 2003, (03) : 194 - 201
  • [25] Aerofoil optimization for improving the power performance of a vertical axis wind turbine using multiple streamtube model and genetic algorithm
    Liang, Changping
    Li, Huaxing
    ROYAL SOCIETY OPEN SCIENCE, 2018, 5 (07):
  • [26] Improving Energy Usage in Wireless Sensor Networks by Whale Optimization Algorithm
    Strumberger, Ivana
    Bezdan, Timea
    Ivanovic, Milica
    Jovanovic, Luka
    2021 29TH TELECOMMUNICATIONS FORUM (TELFOR), 2021,
  • [27] A Multi-Stage Optimization Model With Minimum Energy Consumption-Wireless Mesh Networks
    Krishnakumar, S.
    Srinivasan, R.
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2012, 3 (09) : 157 - 164
  • [28] Logistic Warehouse Process Optimization Through Genetic Programming Algorithm
    Karasek, Jan
    Burget, Radim
    Povoda, Lukas
    MODERN TRENDS AND TECHNIQUES IN COMPUTER SCIENCE (CSOC 2014), 2014, 285 : 29 - 40
  • [29] Reliability Improvement and the Importance of Power Consumption Optimization in Wireless Sensor Networks
    Banerjee, Avishek
    Gavrilas, Mihai
    Ivanov, Ovidiu
    Chattopadhyay, Samiran
    2015 9TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2015, : 735 - 740
  • [30] Investigation of Gateway Placement Optimization Approaches in Wireless Mesh Networks using Genetic Algorithms
    Ahmed, Awadallah M.
    Hashim, Aisha Hassan. A.
    Hassan, Wan Haslina
    2014 INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION ENGINEERING (ICCCE), 2014, : 68 - 71