• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Zhang Wei, He Bin, Zhao Xia, and Chen Qijun. An Open Wireless Sensor Network Platform—OpenWSN[J]. Journal of Computer Research and Development, 2008, 45(1): 97-103.
Citation: Zhang Wei, He Bin, Zhao Xia, and Chen Qijun. An Open Wireless Sensor Network Platform—OpenWSN[J]. Journal of Computer Research and Development, 2008, 45(1): 97-103.

An Open Wireless Sensor Network Platform—OpenWSN

More Information
  • Published Date: January 14, 2008
  • Most of the current WSN research platforms are based on Mica nodes and TinyOS. However, they're difficult to integrate with the existing mature source codes and difficult to port to other platforms. These micro-controller based solutions are also quite weak to fulfill high performance tasks such as image processing and PAN coordination. Furthermore, the new invented nesC language also holdback its acceptance among industry application developers. Considering the above shortcomings, an ARM7 based powerful WSN research platform, named OpenWSN, is designed and implemented. OpenWSN adopts bus architecture to connect different modules in hardware design and uses layered OOD/OOP in software design. The component-based and service-based architecture makes it easy to integrate with current mature resources. The node has 32KB SRAM and up to 512KB flash memory. It can run between 11-60MHz and using DMA to move data inside memory. These features enable OpenWSN run much faster than general Mica or Telos nodes. The power consumption is a bit higher than Mica's Atmega128L solution because ARM7 processor consumes more energy than Atmega128L micro processor. However, due to its high performance, OpenWSN node can finish more tasks and spend more time in sleep status. This in turn decreases the power consumption. The experiment verifies the solution and confirms OpenWSN's effectiveness in high performance applications such as vibration measurements.
  • Related Articles

    [1]Fu Tao, Chen Zhaojiong, Ye Dongyi. GAN-Based Bidirectional Decoding Feature Fusion Extrapolation Algorithm of Chinese Landscape Painting[J]. Journal of Computer Research and Development, 2022, 59(12): 2816-2830. DOI: 10.7544/issn1000-1239.20210830
    [2]Guo Sixu, He Shen, Su Li, Zhang Xing, Zhou Fucai, Zhang Xinyue. Top-k Boolean Searchable Encryption Scheme Based on Multiple Keywords[J]. Journal of Computer Research and Development, 2022, 59(8): 1841-1852. DOI: 10.7544/issn1000-1239.20200605
    [3]Jiang Bin, Liu Hongyu, Yang Chao, Tu Wenxuan, Zhao Zilong. A Face Inpainting Algorithm with Local Attribute Generative Adversarial Networks[J]. Journal of Computer Research and Development, 2019, 56(11): 2485-2493. DOI: 10.7544/issn1000-1239.2019.20180656
    [4]Guo Yingjie, Liu Xiaoyan, Wu Chenxi, Guo Maozu, Li Ao. U-Statistics and Ensemble Learning Based Method for Gene-Gene Interaction Detection[J]. Journal of Computer Research and Development, 2018, 55(8): 1683-1693. DOI: 10.7544/issn1000-1239.2018.20180365
    [5]Zhang Peng, Duan Lei, Qin Pan, Zuo Jie, Tang Changjie, Yuan Chang’an, Peng Jian. Mining Top-k Distinguishing Sequential Patterns Using Spark[J]. Journal of Computer Research and Development, 2017, 54(7): 1452-1464. DOI: 10.7544/issn1000-1239.2017.20160553
    [6]Li Bohan, Zhang Chao, Li Dongjing, Xu Jianqiu, Xia Bin, Qin Xiaolin. A DSP-Topk Query Optimization Algorithm Supporting Indoor Obstacle Space[J]. Journal of Computer Research and Development, 2017, 54(3): 557-569. DOI: 10.7544/issn1000-1239.2017.20150895
    [7]Zhang Jianfeng, Han Weihong, Fan Hua, Zou Peng, Jia Yan. An Algorithm for Top-k Query Refinement Based on User’s Feedback[J]. Journal of Computer Research and Development, 2014, 51(10): 2206-2215. DOI: 10.7544/issn1000-1239.2014.20130827
    [8]Jiang Tao, Zhang Bin, Gao Yunjun, Yue Guangxue. Efficient Top-k Query Processing on Mutual Skyline[J]. Journal of Computer Research and Development, 2013, 50(5): 986-997.
    [9]Wang Shuang, Wang Guoren. Sliding Window Top-K Frequent Item Query on Uncertain Stream[J]. Journal of Computer Research and Development, 2012, 49(10): 2189-2197.
    [10]Xiong Gangqiang, Yu Jiande, Xiong Changzhen, Qi Dongxu. Reversible Factorization of U Orthogonal Transform and Image Lossless Coding[J]. Journal of Computer Research and Development, 2012, 49(4): 856-863.

Catalog

    Article views (1135) PDF downloads (634) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return