FIT: A flexible, light-weight, and real-time scheduling system for wireless sensor platforms

被引:0
|
作者
Dong, Wei [1 ]
Chen, Chun [1 ]
Liu, Xue [2 ]
Zheng, Kougen [1 ]
Chu, Rui [3 ]
Bu, Jiajun [1 ]
机构
[1] Zhejiang Univ, Coll Comp Sci, 973 WSN Joint Lab, Hangzhou 310027, Zhejiang, Peoples R China
[2] McGill Univ, Sch Comp Sci, Montreal, PQ H3A 2T5, Canada
[3] Natl Univ Def Technol, Changsha, Hunan, Peoples R China
来源
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We propose FIT, a flexible, light-weight and real-time scheduling system for wireless sensor platforms. There are three salient features of FIT. First, its two-tier hierarchical framework supports customizable application-specific scheduling policies, hence FIT is very flexible. Second, FIT is light-weight in terms of minimizing thread number to reduce preemptions and memory consumption while at the same time ensuring system schedulability. We propose a novel Minimum Thread Scheduling Policy (MTSP) exploration algorithm within FIT to achieve this goal. Finally, FIT provides a detailed real-time schedulability analysis method to help check if application's temporal requirements can be met. We implemented FIT on MICAz motes, and carried out extensive evaluations. Results demonstrate that FIT is indeed flexible and light-weight for implementing real-time applications, at the same time, the schedulability analysis provided can predict the real-time behavior. FIT is a promising scheduling system for implementing complex real-time applications in sensor networks.
引用
收藏
页码:126 / +
页数:2
相关论文
共 50 条
  • [41] SGBNet: An Ultra Light-weight Network for Real-time Semantic Segmentation of Land Cover
    Pang, Kai
    Weng, Liguo
    Zhang, Yonghong
    Liu, Jia
    Lin, Haifeng
    Xia, Min
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2022, 43 (15-16) : 5917 - 5939
  • [42] Joint Power Control, Scheduling and Real-time Routing in Wireless Sensor Networks
    Zeng, Yuanyuan
    Zheng, Guilin
    2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 3, 2010, : 357 - 361
  • [43] A soft real-time scheduling framework for wireless industrial sensor actuator networks
    Cena, Gianluca
    Scanzio, Stefano
    Seno, Lucia
    Valenzano, Adriano
    2016 11TH IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL EMBEDDED SYSTEMS (SIES), 2016,
  • [44] Data aggregation and pipelining scheduling protocols for real-time wireless sensor networks
    Ouni, Sofiane
    Gherairi, Salsabil
    Kamoun, Farouk
    INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2013, 12 (01) : 56 - 64
  • [45] MPSA: A real-time collaborative scheduling algorithm for wireless rechargeable sensor networks
    Wang, Kun
    Zeng, Gang
    Wang, Lei
    Yang, Ziyu
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2021, 34 (18)
  • [46] Interference-Aware Real-Time Flow Scheduling for Wireless Sensor Networks
    Chipara, Octav
    Wu, Chengjie
    Lu, Chenyang
    Griswold, William
    PROCEEDINGS OF THE 23RD EUROMICRO CONFERENCE ON REAL-TIME SYSTEMS (ECRTS 2011), 2011, : 67 - 77
  • [47] Scheduling the Real-Time Transmission of Periodic Measurements in 802.15.4 Wireless Sensor Network
    Sixto, Campana
    Jorge, Londono
    COMPLEX ADAPTIVE SYSTEMS CONFERENCE WITH THEME: ENGINEERING CYBER PHYSICAL SYSTEMS, CAS, 2017, 114 : 499 - 506
  • [48] Real-Time Scheduling of Data Flows with Deadlines for Industrial Wireless Sensor Networks
    Zhang, Benhong
    Wang, Yiming
    Zhang, Jianjun
    Xu, Juan
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2019, E102B (12) : 2218 - 2225
  • [49] Rethinking DABNet: Light-Weight Network for Real-Time Semantic Segmentation of Road Scenes
    Mazhar S.
    Atif N.
    Bhuyan M.K.
    Ahamed S.R.
    IEEE Transactions on Artificial Intelligence, 2024, 5 (06): : 3098 - 3108
  • [50] Battery-aware real-time task scheduling in wireless sensor networks
    Hong, S
    Kim, D
    Kim, JE
    11TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND REAL-TIME COMPUTING SYSTEMS AND APPLICATIONS, PROCEEDINGS, 2005, : 269 - 272