Implementation of Timestamped Pulse-Coupled Oscillators in IEEE 802.15.4 Networks

被引:0
作者
Zong, Yan [1 ]
Luo, Kexin [1 ]
Dai, Xuewu [1 ]
Gao, Zhiwei [1 ]
机构
[1] Northumbria Univ, Dept Math Phys & Elect Engn, Newcastle Upon Tyne, Tyne & Wear, England
来源
2018 24TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC' 18) | 2018年
关键词
time synchronization; pulse-coupled oscillators; desynchronization; IEEE; 802.15.4; wireless sensor networks;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Time Synchronization (TS) is a key enabling technology of mission-critical Wireless Sensor Networks (WSNs) to provide a common timescale for distributed sensor nodes. Inspired by synchronous flashing of fireflies, a bio-inspired model, Pulse-Coupled Oscillators (PCO), has been intensively studied. The most studies on PCOs are theoretical work, and the assumption is given that oscillators broadcast and receive the Pulses simultaneously when synchronization of a network is achieved. This is not true when it comes to any real-world environments. From the viewpoint of WSNs, the clock of a sensor node driven by crystal oscillators can be modelled as an oscillator, and Pulse firing can be implemented by transmitting a packet. However, the concurrent transmission of Pulse packets is impossible due to the packet collision in the single wireless channel. To avoid this issue in WSNs, this paper adopts a desynchronization mechanism, in which the Pulse packets are transmitted to the wireless channel in a uniformly distributed fashion and in accordance with standard IEEE 802.15.4. A hardware testbed is developed to implement the desynchronized pulse-coupled oscillators, and it can also be extended to the large-scale wireless sensor networks.
引用
收藏
页码:176 / 180
页数:5
相关论文
共 7 条
[1]   Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control [J].
Ahmed, Awadelrahman M. A. ;
Zong, Yi ;
Mihet-Popa, Lucian ;
Bruna, Jorge ;
Agert, Carsten ;
Xiao, Xianyong .
2017 INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND INTELLIGENT CONTROLS (ISCSIC), 2017, :1-5
[2]   Convergence of Desynchronization Primitives in Wireless Sensor Networks: A Stochastic Modeling Approach [J].
Buranapanichkit, Dujdow ;
Deligiannis, Nikos ;
Andreopoulos, Yiannis .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (01) :221-233
[3]  
Degesys J, 2007, PROCEEDINGS OF THE SIXTH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, P11, DOI 10.1109/IPSN.2007.4379660
[4]   PulseSS: A Pulse-Coupled Synchronization and Scheduling Protocol for Clustered Wireless Sensor Networks [J].
Gentz, Reinhard ;
Scaglione, Anna ;
Ferrari, Lorenzo ;
Hong, Y-W Peter .
IEEE INTERNET OF THINGS JOURNAL, 2016, 3 (06) :1222-1234
[5]   SYNCHRONIZATION OF PULSE-COUPLED BIOLOGICAL OSCILLATORS [J].
MIROLLO, RE ;
STROGATZ, SH .
SIAM JOURNAL ON APPLIED MATHEMATICS, 1990, 50 (06) :1645-1662
[6]  
Zong Y., 2018, INT C IND INF INDIN
[7]   Simulation and evaluation of pulse-coupled oscillators in wireless sensor networks [J].
Zong, Yan ;
Dai, Xuewu ;
Gao, Zhiwei ;
Binns, Richard ;
Busawon, Krishna .
SYSTEMS SCIENCE & CONTROL ENGINEERING, 2018, 6 (01) :337-349