Verification and power analysis of an event-based system (TinyOS) and sensor network with hybrid automata

被引:0
|
作者
Coleri, S [1 ]
Ergen, M [1 ]
机构
[1] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
关键词
TinyOS; sensor networks; power consumption; HyTech; SHIFT; hybrid automata; verification;
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
The advances In digital circuitry and sensor technology has enabled reliable monitoring of environments through wireless microsensor systems. Event-driven operating system has been shown to meet the requirements of such platforms. In this paper, we focus on TinyOS, an event-based operating system for Smart Dust networked sensors. We show how to model TinyOS as a hybrid automata with the tool HyTech and verify the correct operation of the system by using safety verification feature of HyTech. Since lifetime is a important metric for sensor nodes that are planned to be deployed once and unattended for long periods of time without maintenance, we perform power analysis of a sensor node by using trace generation feature of HyTech. Furthermore, we simulate a tree sensor network of TinyOS motes by using the programming language SHIFT to determine the lifetime of the network as a function of the distance from the central data collector.
引用
收藏
页码:553 / 558
页数:6
相关论文
共 50 条
  • [31] Event-based analysis of video
    Zelnik-Manor, L
    Irani, M
    [J]. 2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2001, : 123 - 130
  • [32] E-NIPS: An Event-based Network Intrusion Prediction System
    Kannadiga, Pradeep
    Zulkernine, Mohammad
    Haque, Anwar
    [J]. INFORMATION SECURITY, PROCEEDINGS, 2007, 4779 : 37 - +
  • [34] A Low Power, High Throughput, Fully Event-Based Stereo System
    Andreopoulos, Alexander
    Kashyap, Hirak J.
    Nayak, Tapan K.
    Amir, Arnon
    Flickner, Myron D.
    [J]. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 7532 - 7542
  • [35] Multipath Event-Based Network for Low-Power Human Action Recognition
    Wu, Xiao
    Yuan, Junsong
    [J]. 2020 IEEE 6TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2020,
  • [36] Event-based Hybrid Impedance and Admittance Control
    Yang, Bo
    Zhai, Di-Hua
    Lyu, Weizhi
    Xia, Yuanqing
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 4596 - 4601
  • [37] A Conceptual Model of Sensor System Ontology with an Event-Based Information Processing Method
    Cherskikh E.O.
    [J]. Neuroscience and Behavioral Physiology, 2022, 52 (8) : 1310 - 1317
  • [38] A Novel Visible Light Positioning System With Event-Based Neuromorphic Vision Sensor
    Chen, Guang
    Chen, Wenkai
    Yang, Qianyi
    Xu, Zhongcong
    Yang, Longyu
    Conradt, Jorg
    Knoll, Alois
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (17) : 10211 - 10219
  • [39] Heuristic strategies for assessing wireless sensor network resiliency: an event-based formal approach
    Alessandro Testa
    Marcello Cinque
    Antonio Coronato
    Giuseppe De Pietro
    Juan Carlos Augusto
    [J]. Journal of Heuristics, 2015, 21 : 145 - 175
  • [40] Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control
    Pawlowski, Andrzej
    Guzman, Jose Luis
    Rodriguez, Francisco
    Berenguel, Manuel
    Sanchez, Jose
    Dormido, Sebastian
    [J]. SENSORS, 2009, 9 (01) : 232 - 252