Energy-efficient real-time deployment of mobile sensors in disaster-prone location

被引:3
|
作者
Nwadiugwu, Williams Paul [1 ]
Kim, Dong-Seong [1 ]
Lee, Jae-Min [1 ]
机构
[1] Kumoh Natl Inst Technol, Dept IT Convergence Engn, Networked Syst Lab, Gumi, Gyeongsangbuk, South Korea
关键词
data centre; disaster-prone location; IEEE 802.15.4 (ZigBee); GPS-less mobile sensors deployment; path-tracking scheme; TARGET COVERAGE; NETWORKS; PLACEMENT; PREDICTION;
D O I
10.1504/IJCNDS.2019.101918
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recent research works on real-time robot-assisted mobile sensor deployment have become rapid, as they tend to accomplish problem-solving tasks at both safe location and unsafe location. This paper proposes a technique to achieve a real-time energy-efficient deployment of mobile sensors in a disaster-prone location using a path-tracking algorithm. An enhanced path-tracking algorithm was introduced to be able to deploy mobile sensors in both presence and absence of obstacles. The simulation result investigates the real-time performances of the mobile sensor nodes deployment with respect to factors such as the minimal energy consumption of the nodes with neighbourhood sharing scheme, the end-to-end system threshold and the time variance for the deployed sensor nodes to reach the target location and back to the base station.
引用
收藏
页码:307 / 327
页数:21
相关论文
共 50 条
  • [1] On Energy-Efficient Offloading in Mobile Cloud for Real-Time Video Applications
    Zhang, Lei
    Fu, Di
    Liu, Jiangchuan
    Ngai, Edith Cheuk-Han
    Zhu, Wenwu
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 27 (01) : 170 - 181
  • [2] Energy-Efficient Real-Time Multicast Routing in Mobile Ad Hoc Networks
    Tavli, Bulent
    Heinzelman, Wendi B.
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 2011, 60 (05) : 707 - 722
  • [3] An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots
    Jung, Jueun
    Kim, Seungbin
    Seo, Bokyoung
    Jang, Wuyoung
    Lee, Sangho
    Shin, Jeongmin
    Han, Donghyeon
    Lee, Kyuho Jason
    [J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2024,
  • [4] Energy-Efficient Real-Time Human Activity Recognition on Smart Mobile Devices
    Lee, Jin
    Kim, Jungsun
    [J]. MOBILE INFORMATION SYSTEMS, 2016, 2016
  • [5] Deep Learning for Real-Time Energy-Efficient Power Control in Mobile Networks
    Matthiesen, Bho
    Zappone, Alessio
    Jorswieck, Eduard A.
    Debbah, Merouane
    [J]. 2019 IEEE 20TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC 2019), 2019,
  • [6] Energy-Efficient Real-Time Compression of Biosignals
    George, R. M.
    Audi, Cardona J.
    Ruff, R.
    Hoffmann, K. -P
    [J]. BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2012, 57 : 645 - 648
  • [7] A Real-time Energy-Efficient Superpixel Hardware Accelerator for Mobile Computer Vision Applications
    Hong, Injoon
    Clemons, Jason
    Venkatesan, Rangharajan
    Frosio, Iuri
    Khailany, Brucek
    Keckler, Stephen W.
    [J]. 2016 ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2016,
  • [8] Energy-efficient packet scheduling algorithms for real-time communications in a mobile WiMAX system
    Tsao, Shiao-Li
    Chen, You-Lin
    [J]. COMPUTER COMMUNICATIONS, 2008, 31 (10) : 2350 - 2359
  • [9] Energy-efficient real-time heterogeneous server clusters
    Rusu, Cosmin
    Ferreira, Alexandre
    Scordino, Claudio
    Watson, Aaron
    Melhem, Rami
    Mosse, Daniel
    [J]. PROCEEDINGS OF THE 12TH IEEE REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM, 2006, : 418 - +
  • [10] Towards Energy-Efficient and Real-Time Cloud Computing
    Tekreeti, Taha
    Cao, Ting
    Peng, Xiaopu
    Bhattacharya, Tathagata
    Mao, Jianzhou
    Qin, Xiao
    Ku, Wei-Shinn
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, ARCHITECTURE AND STORAGE (NAS), 2021, : 255 - 258