TinySDM: Software Defined Measuremen in Wireless Sensor Networks

被引:0
|
作者
Cao, Chenhong [1 ]
Luo, Luyao [1 ]
Gao, Yi [1 ]
Dong, Wei [1 ]
Chen, Chun [1 ]
机构
[1] Zhejiang Univ, Zhejiang Prov Key Lab Serv Robot, Coll Comp Sci, Hangzhou, Zhejiang, Peoples R China
关键词
PERFORMANCE;
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
Network measurement, which provides detailed information about the behaviors of operational networks, is essential for network management in wireless sensor networks. In the literature, there have been many approaches focusing on measuring individual aspect of the network, e.g., per-packet routing path and per-hop delay. However, there lacks a general support for conducting different measurement tasks. When managing an operational network, a network operator often needs to switch the current measurement task to a different one, in order to diagnose the observed symptoms. In this paper, we propose TinySDM, a software-defined measurement architecture for WSNs. TinySDM provides a general support for conducting different measurement tasks. TinySDM defines a set of carefully selected hooks that allow the users to easily execute their own measurement tasks. In addition, TinySDM provides a C like language called TinyCode Language (TCL) to enable easy customization of measurement tasks. By only transmitting the binary code of the measurement task, TinySDM significantly reduces the size of the disseminated data compared with existing reprogramming approaches. We implement TinySDM on the TinyOS/TelosB platform and evaluate its performance extensively in a testhed with 60 nodes. We also use TCL to implement four specific measurement tasks. Results show that TinySDM is flexible, efficient and easily programmable.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Software Defined Networks in Wireless Sensor Architectures
    Puente Fernandez, Jesus Antonio
    Garcia Villalba, Luis Javier
    Kim, Tai-Hoon
    [J]. ENTROPY, 2018, 20 (04)
  • [2] Software Defined Wireless Sensor Networks: A Review
    Duan, Ying
    Luo, Yun
    Li, Wenfeng
    Pace, Pasquale
    Fortino, Giancarlo
    [J]. PROCEEDINGS OF THE 2018 IEEE 22ND INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN ((CSCWD)), 2018, : 826 - 831
  • [3] The Presidium of Wireless Sensor Networks - A Software Defined Wireless Sensor Network Architecture
    O'Shea, Donna
    Cionca, Victor
    Pesch, Dirk
    [J]. MOBILE NETWORKS AND MANAGEMENT, MONAMI 2015, 2015, 158 : 281 - 292
  • [4] Subnet Addressing in Software Defined Wireless Sensor Networks
    Al-Dulaimy, Ahmed Nader
    Frey, Hannes
    [J]. PROCEEDINGS OF THE 2019 12TH IFIP WIRELESS AND MOBILE NETWORKING CONFERENCE (WMNC 2019), 2019, : 32 - 38
  • [5] Reliability Analysis of Software Defined Wireless Sensor Networks
    Gong, Na
    Huang, Xin
    [J]. MODEL DESIGN AND SIMULATION ANALYSIS, 2016, 603 : 65 - 78
  • [6] Software-defined wireless sensor networks: A survey
    Mostafaei, Habib
    Menth, Michael
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2018, 119 : 42 - 56
  • [7] Software Defined Wireless Sensor Networks Security Challenges
    Kgogo, Tebogo
    Isong, Bassey
    Abu-Mahfouz, Adnan M.
    [J]. 2017 IEEE AFRICON, 2017, : 1508 - 1513
  • [8] A Novel Framework for Software Defined Wireless Sensor Networks
    Ahmed, Khandakar
    Nafi, Nazmus S.
    Ejaz, Waleed
    Gregory, Mark A.
    Khattak, Asad M.
    [J]. 2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
  • [9] Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks
    Luo, Tie
    Tan, Hwee-Pink
    Quek, Tony Q. S.
    [J]. IEEE COMMUNICATIONS LETTERS, 2012, 16 (11) : 1896 - 1899
  • [10] SSDWSN: A Scalable Software-Defined Wireless Sensor Networks
    Alsaeedi, Mohammed
    Mohamad, Mohd Murtadha
    Al-Roubaiey, Anas
    [J]. IEEE ACCESS, 2024, 12 : 21787 - 21806