Please wait a minute...
Frontiers of Electrical and Electronic Engineering

ISSN 2095-2732

ISSN 2095-2740(Online)

CN 10-1028/TM

Front Elect Electr Eng Chin    2011, Vol. 6 Issue (3) : 481-485    https://doi.org/10.1007/s11460-011-0163-x
RESEARCH ARTICLE
An enhanced probabilistic scheme for data transmission in large-scale sensor networks
Xi CHEN(), Xingshi WANG
Department of Automation, Tsinghua University, Beijing 100084, China
 Download: PDF(266 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

In this paper, a probabilistic scheme is presented for directed data transmission without maintaining route tables. In the model, each message is required to reach the base station (BS) successfully with a certain probability. We analyze the relationship between the number of the intermediate nodes, link reliability and relay probability. We obtain the condition for relay probability which can guarantee the performance of the networks. This scheme is robust and adaptable to the change of topology of the sensor networks. Simulation with Ns-2 helps to illustrate the main results of the analysis.

Keywords wireless sensor networks      relay probability      analysis      simulation     
Corresponding Author(s): CHEN Xi,Email:bjchenxi@mail.tsinghua.edu.cn   
Issue Date: 05 September 2011
 Cite this article:   
Xi CHEN,Xingshi WANG. An enhanced probabilistic scheme for data transmission in large-scale sensor networks[J]. Front Elect Electr Eng Chin, 2011, 6(3): 481-485.
 URL:  
https://academic.hep.com.cn/fee/EN/10.1007/s11460-011-0163-x
https://academic.hep.com.cn/fee/EN/Y2011/V6/I3/481
1 Karl H, Willig A. Protocols and Architectures for Wireless Sensor Networks. New York: John Wiley & Sons, 2005
doi: 10.1002/0470095121
2 Heinzelman WR, Chandrakasan A, Balakrishnan H. Energyefficient communication protocol for wireless micro sensor networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences . 2000, 1-10
doi: 10.1109/HICSS.2000.926982
3 Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey. Computer Networks , 2008, 52(12): 2292-2330
doi: 10.1016/j.comnet.2008.04.002
4 Haas Z J, Halpern J Y, Li L. Gossip-based ad hoc routing. In: Proceedings of the Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies . 2002, 3: 1707-1716
5 Wu J, Chen L J, Yan P L, Zhou J G, Jiang H. A new reliable routing method based on probabilistic forwarding in wireless sensor network. In: Proceedings of the Fifth International Conference on Computer and Information Technology . 2005, 524-529
6 Barrett C L, Eidenbenz S J, Kroc L, Marathe M, Smith J P. Parametric probabilistic routing in sensor networks. Mobile Networks and Applications , 2005, 10(4): 529-544
doi: 10.1007/s11036-005-1565-x
7 Chen X, Ho Y C, Zhang J S, Bai H X. Probabilistic forwarding (ProFor) for large scale sensor networks. In: Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control . 2006, 963-968
doi: 10.1109/ICNSC.2006.1673279
8 Nagpal R, Shrobe H, Bachrach J. Organizing a global coordinate system from local information on an ad hoc sensor network. In: Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks . 2003, 333-48
doi: 10.1007/3-540-36978-3_22
[1] M. MADHESWARAN, C. NAGARAJAN. DSP based fuzzy controller for series parallel resonant converter[J]. Front Elect Electr Eng, 2012, 7(4): 438-446.
[2] Baoqiang KAN, Jianhua FAN. Energy-efficient design of VMIMO for WSN applications[J]. Front Elect Electr Eng, 2012, 7(3): 286-292.
[3] Ke XIE, Huijia YU, Rongwei CEN. Using log mining to analyze user behavior on search engine[J]. Front Elect Electr Eng, 2012, 7(2): 254-260.
[4] Hongwei LIU, Feng CHEN, Lan DU, Zheng BAO. Robust radar automatic target recognition algorithm based on HRRP signature[J]. Front Elect Electr Eng, 2012, 7(1): 49-55.
[5] Lei XU. On essential topics of BYY harmony learning: Current status, challenging issues, and gene analysis applications[J]. Front Elect Electr Eng, 2012, 7(1): 147-196.
[6] Hailong ZHU, Peng LIU, Jiafeng LIU, Xianglong TANG. A primary-secondary background model with sliding window PCA algorithm[J]. Front Elect Electr Eng Chin, 2011, 6(4): 528-534.
[7] Chun-Hung CHEN, Leyuan SHI, Loo Hay LEE. Stochastic systems simulation optimization[J]. Front Elect Electr Eng Chin, 2011, 6(3): 468-480.
[8] Chen YAO, Christos G. CASSANDRAS. Perturbation analysis of stochastic hybrid systems and applications to resource contention games[J]. Front Elect Electr Eng Chin, 2011, 6(3): 453-467.
[9] Chen SONG, Xiaohong GUAN, Qianchuan ZHAO, Qing-Shan JIA. Remanufacturing planning based on constrained ordinal optimization[J]. Front Elect Electr Eng Chin, 2011, 6(3): 443-452.
[10] Xi-Ren CAO. Stochastic learning and optimization — Ideas vs mathematics?[J]. Front Elect Electr Eng Chin, 2011, 6(3): 398-411.
[11] Wankou YANG, Changyin SUN, Zhenyu WANG. Finger-knuckle-print recognition using Gabor feature and MMDA[J]. Front Elect Electr Eng Chin, 2011, 6(2): 374-380.
[12] Lubin WANG, Hui SHEN, Baojuan LI, Dewen HU. Classification of schizophrenic patients and healthy controls using multiple spatially independent components of structural MRI data[J]. Front Elect Electr Eng Chin, 2011, 6(2): 353-362.
[13] Penghui WANG, Lei SHI, Lan DU, Hongwei LIU, Lei XU, Zheng BAO. Radar HRRP statistical recognition with temporal factor analysis by automatic Bayesian Ying-Yang harmony learning[J]. Front Elect Electr Eng Chin, 2011, 6(2): 300-317.
[14] Shikui TU, Lei XU. Parameterizations make different model selections: Empirical findings from factor analysis[J]. Front Elect Electr Eng Chin, 2011, 6(2): 256-274.
[15] Shikui TU, Lei XU. An investigation of several typical model selection criteria for detecting the number of signals[J]. Front Elect Electr Eng Chin, 2011, 6(2): 245-255.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed