CrossZig: Combating Cross-Technology Interference in Low-power Wireless Networks

被引:0
|
作者
Hithnawi, Anwar [1 ]
Li, Su [2 ]
Shafagh, Hossein [1 ]
Gross, James [3 ]
Duquennoy, Simon [4 ,5 ]
机构
[1] Swiss Fed Inst Technol, Dept CS, Zurich, Switzerland
[2] EPFL Lausanne, Lausanne, Switzerland
[3] KTH Royal Inst Technol, Stockholm, Sweden
[4] INRIA Lille, Villeneuve Dascq, France
[5] SICS Swedish ICT, Kista, Sweden
关键词
D O I
暂无
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
Low-power wireless devices suffer notoriously from Cross-Technology Interference (CTI). To enable co-existence, researchers have proposed a variety of interference mitigation strategies. Existing solutions, however, are designed to work with the limitations of currently available radio chips. In this paper, we investigate how to exploit physical layer properties of 802.15.4 signals to better address CTI. We present CrossZig, a cross-layer solution that takes advantage of physical layer information and processing to improve low-power communication under CTI. To this end, CrossZig utilizes physical layer information to detect presence of CTI in a corrupted packet and to apply an adaptive packet recovery which incorporates a novel cross-layer based packet merging and an adaptive FEC coding. We implement a prototype of CrossZig for the low-power IEEE 802.15.4 in a software-defined radio platform. We show the adaptability and the performance gain of CrossZig through experimental evaluation considering both micro-benchmarking and system performance under various interference patterns. Our results demonstrate that CrossZig can achieve a high accuracy in error localization (94.3% accuracy) and interference type identification (less than 5% error rate for SINR ranges below 3 dB). Moreover, our system shows consistent performance improvements under interference from various interfering technologies.
引用
收藏
页数:12
相关论文
共 50 条
  • [11] JamSense: Interference and Jamming Classification for Low-power Wireless Networks
    Kanwar, John
    Finne, Niclas
    Tsiftes, Nicolas
    Eriksson, Joakim
    Voigt, Thiemo
    He, Zhitao
    Ahlund, Christer
    Saguna, Saguna
    PROCEEDINGS OF THE 2021 13TH IFIP WIRELESS AND MOBILE NETWORKING CONFERENCE (WMNC 2021), 2021, : 9 - 16
  • [12] Interference Test Method for Low-Power Wireless Sensor Networks
    Serra, Ramiro
    Nabi, Majid
    2015 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC), 2015, : 150 - 153
  • [13] Wireless coexistence and interference test method for low-power wireless sensor networks
    Serra, Ramiro
    Nabi, Majid
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2015, 9 (05) : 563 - 569
  • [14] ResCTC: Resilience in Wireless Networks through Cross-Technology Communication
    Zubow, Anatolij
    Stebut, Isabel Von
    Rosler, Sascha
    Dressler, Falko
    IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2024,
  • [15] ZiFi: Exploiting Cross-Technology Interference Signatures for Wireless LAN Discovery
    Xiong, Yongping
    Zhou, Ruogu
    Li, Minming
    Xing, Guoliang
    Sun, Limin
    Ma, Jian
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2014, 13 (11) : 2675 - 2688
  • [16] A Measurement Study of Interference Modeling and Scheduling in Low-Power Wireless Networks
    Maheshwari, Ritesh
    Jain, Shweta
    Das, Samir R.
    SENSYS'08: PROCEEDINGS OF THE 6TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, 2008, : 141 - 154
  • [17] Learning From Errors: Detecting Cross-Technology Interference in WiFi Networks
    Croce, Daniele
    Garlisi, Domenico
    Giuliano, Fabrizio
    Inzerillo, Nicola
    Tinnirello, Ilenia
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2018, 4 (02) : 347 - 356
  • [18] Cross-Technology Interference Mitigation in Body Area Networks: An Optimization Approach
    Elias, Jocelyne
    Paris, Stefano
    Krunz, Marwan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2015, 64 (09) : 4144 - 4157
  • [19] Multi-channel Interference Measurement and Modeling in Low-Power Wireless Networks
    Xing, Guoliang
    Sha, Mo
    Huang, Jun
    Zhou, Gang
    Wang, Xiaorui
    Liu, Shucheng
    2009 30TH IEEE REAL-TIME SYSTEMS SYMPOSIUM, PROCEEDINGS, 2009, : 248 - +
  • [20] Low-power wireless sensor networks
    Min, R
    Bhardwaj, M
    Cho, SH
    Shih, E
    Sinha, A
    Wang, A
    Chandrakasan, A
    VLSI DESIGN 2001: FOURTEENTH INTERNATIONAL CONFERENCE ON VLSI DESIGN, 2001, : 205 - 210