BLE Periodic Advertising-Based Energy-Efficient Sensor Node Operation for Transfer of Large Data in Monitoring Applications

被引:0
|
作者
Gautam, Sukriti [1 ]
Kumar, Suman [1 ]
机构
[1] Indian Institute of Technology Ropar, Department of Electrical Engineering, Ropar,140001, India
关键词
Data communication systems - Digital communication systems - Formal concept analysis - Personal communication systems - Personalized medicine - Rayleigh fading - Sensor nodes - Steganography - Thermopiles;
D O I
10.1109/JIOT.2024.3451698
中图分类号
学科分类号
摘要
IoT applications like livestock and personalized health care monitoring systems have large amounts of data obtained per second from sensors interfaced to battery operated sensor nodes. In such networks, all the data generated at the nodes must be successfully sent to the central receiving device ensuring minimal power consumption of the data transmission operation, to enable longer lifetimes of battery-operated sensor nodes. In this article, in order to minimize energy consumption of sensor nodes, we propose a Bluetooth low energy (BLE)-based data transfer approach relying on BLE periodic advertisements, which allow up to 255 bytes of payload to be sent in one packet and minimize the involvement of interference prone primary advertising channels in the data transfer process. By using primary channel transmissions only for one-time device discovery and then disabling them, the proposed technique ensures that number of transmissions made by each sensor node for successful data delivery in large sensor networks is reduced in comparison with conventional extended and periodic advertisements. This offers reduction in energy consumption of sensor nodes due to reduction in radio on time. Through extensive real-time and simulation-based experimentation conducted, we have shown that, in a network of 200 sensor nodes, the proposed periodic advertising-based technique requires much lesser radio on time for reliable data delivery and reduces energy consumption of the sensor nodes by almost 51% and 20% as compared to the consumption when extended and standardized periodic advertisements are used to communicate the data, respectively. © 2024 IEEE.
引用
收藏
页码:40070 / 40085
相关论文
共 50 条
  • [31] An Energy-Efficient Data Gathering Algorithm Based on Clustering for Wireless Sensor Networks
    Yang, Jing
    Lin, Yi
    Li, Handong
    Hong, Lu
    2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 1305 - 1308
  • [32] An energy-efficient heterogeneous data gathering for sensor-based internet of things
    Gaurav Tripathi
    Vishal Krishna Singh
    Brijesh Kumar Chaurasia
    Multimedia Tools and Applications, 2023, 82 : 42593 - 42616
  • [33] AN ENERGY-EFFICIENT DISTRIBUTED SCHEDULE-BASED COMMUNICATION PROTOCOL FOR PERIODIC WIRELESS SENSOR NETWORKS
    Al-Khdour, T. A.
    Baroudi, U.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2010, 35 (2B) : 153 - 168
  • [34] Energy-efficient two-layer data transmission reduction protocol in periodic sensor networks of IoTs
    Ali Kadhum Idrees
    Rafal Alhussaini
    Mahdi Abed Salman
    Personal and Ubiquitous Computing, 2023, 27 : 139 - 158
  • [35] Energy-Efficient Fire Monitoring over Cluster-Based Wireless Sensor Networks
    Ha, Young-guk
    Kim, Heemin
    Byun, Yung-cheol
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2012,
  • [36] Energy-efficient two-layer data transmission reduction protocol in periodic sensor networks of IoTs
    Idrees, Ali Kadhum
    Alhussaini, Rafal
    Salman, Mahdi Abed
    PERSONAL AND UBIQUITOUS COMPUTING, 2020, 27 (2) : 139 - 158
  • [37] Energy-efficient routing model for water pipeline monitoring based on wireless sensor networks
    Elleuchi M.
    Boujeleben M.
    Abid M.
    International Journal of Computers and Applications, 2019, 44 (01) : 3 - 11
  • [38] A Multi-Poller based Energy-Efficient Monitoring Scheme for Wireless Sensor Networks
    Liu, Changlei
    Cao, Guohong
    IEEE INFOCOM 2009 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-5, 2009, : 2781 - 2785
  • [39] Improved Deep Convolutional Neural Network Based Malicious Node Detection and Energy-Efficient Data Transmission in Wireless Sensor Networks
    Kumar, Mohit
    Mukherjee, Priya
    Kavita
    Verma, Sahil
    Rawat, Danda B.
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 9 (05): : 3272 - 3281
  • [40] Rabin-Karp algorithm based malevolent node detection and energy-efficient data gathering approach in wireless sensor network
    Vishnupriya, G.
    Ramachandran, R.
    MICROPROCESSORS AND MICROSYSTEMS, 2021, 82