A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Advanced Search
Volume 2 Issue 3
Jul.  2015

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 15.3, Top 1 (SCI Q1)
    CiteScore: 23.5, Top 2% (Q1)
    Google Scholar h5-index: 77， TOP 5
Turn off MathJax
Article Contents
Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2015  >  2(3): 267-273
Zhixin Liu, Yazhou Yuan, Xinping Guan and Xinbin Li, "An Approach of Distributed Joint Optimization for Cluster-based Wireless Sensor Networks," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 3, pp. 267-273, 2015.
Citation: Zhixin Liu, Yazhou Yuan, Xinping Guan and Xinbin Li, "An Approach of Distributed Joint Optimization for Cluster-based Wireless Sensor Networks," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 3, pp. 267-273, 2015.
shu

An Approach of Distributed Joint Optimization for Cluster-based Wireless Sensor Networks

  • 1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;

  • 2. School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;

  • 3. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;

  • 4. School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;

  • 5. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Funds:

This work was supported partly by National Natural Science Foundation of China (61473247, 61104033, 61172095) and Hebei Provincial Natural Science Fund (F2012203109).

    Abstract
  • Wireless sensor networks (WSNs) are energyconstrained, so energy saving is one of the most important issues in typical applications. The clustered WSN topology is considered in this paper. To achieve the balance of energy consumption and utility of network resources, we explicitly model and factor the effect of power and rate. A novel joint optimization model is proposed with the protection for cluster head. By the mean of a choice of two appropriate sub-utility functions, the distributed iterative algorithm is obtained. The convergence of the proposed iterative algorithm is proved analytically. We consider general dual decomposition method to realize variable separation and distributed computation, which is practical in large-scale sensor networks. Numerical results show that the proposed joint optimal algorithm converges to the optimal power allocation and rate transmission, and validate the performance in terms of prolonging of network lifetime and improvement of throughput.

     

    • FullText(HTML)
  • loading
    • References(16)
  • [1]
    Wang H, Yang Y H, Ma M D, He J H, Wang X M. Network lifetime maximization with cross-layer design in wireless sensor networks. IEEE Transactions on Wireless Communications, 2008, 7(10), 3759-3768
    [2]
    Liao S B, Yang Z K, Cheng W Q. Joint power control and rate adaptation for wireless sensor networks. Acta Electronica Sinica, 2008, 36(10), 1931-1937
    [3]
    Chen J M, Yu Q, Chai B, Sun Y X, Fan Y F, Shen S. Dynamic channel assignment for wireless sensor networks:a regret matching based approach. IEEE Transactions on Parallel and Distributed Systems, 2015, 26(1), 95-106
    [4]
    Cimatti G, Rovath R, Setti G. Chaos based spreading in ds-uwb sensor networks increases available bit rate. IEEE Transactions on Circuits and Systems-Part I, 2007, 54(6), 1327-1339
    [5]
    Reena J L. Joint congestion and power control in uwb based wireless sensor networks. In:Proceedings of the 32nd IEEE Conference on Local Computer Networks. Dublin, Ireland:IEEE, 2007, 911-918
    [6]
    Zhao X J, Zhuang Y, Zhao J, Xue T T. Adaptive power control strategy for wireless sensor networks. Journal of Electronics and Information Technology, 2010, 32(9), 2231-2235
    [7]
    Chen H B, Tse C K, Feng J H. Impact of topology on performance and energy efficiency in wireless sensor networks for source extraction. IEEE Transactions on Parallel and Distributed Systems, 2009, 20(6), 886-897
    [8]
    Younis O, Krunz M, Ramasubramanian S. Node clustering in wireless sensor networks:recent developments and deployment challenges. IEEE Network, 2006, 20(3), 20-25
    [9]
    Liu A F, Zhang P H, Chen Z G. Theoretical analysis of the lifetime and energy hole in cluster based wireless sensor networks. Journal of Parallel and Distributed Computing, 2011, 71(10), 1327-1355
    [10]
    Heinzelman W, Chandrakasan A, Balakorishnan H. Energy efficient communication protocol for wireless microsensor networks. In:Proceedings of the 2000 International Conference on System Sciences. Hawaii:IEEE, 2000. 4-7
    [11]
    Zhang D, Zhou J, Guo M, Cao J, Li T. TASA:tag free activity sensing using RFID tag arrays. IEEE Transactions on Parallel Distribution System, 2011, 22(4), 558-570
    [12]
    Khalil E A, Attea B A. Energy-aware evolutionary routing protocol for dynamic clustering of wireless sensor networks. Swarm and Evolutionary Computation, DOI:10.1016/j.swevo.2011.06004, 2011.
    [13]
    He J P, Cheng P, Shi L, Chen J M, Sun Y X. Time synchronization in WSNs:a maximum-value-based consensus approach. IEEE Transactions on Automatic Control, 2014, 59(3):660-675
    [14]
    Zhang D, Guo M, Zhou J, Kang D, Cao J. Context reasoning using extended evidence theory in pervasive computing environments. Future Generation Computer Systems, 2010, 26(2):207-216
    [15]
    Shu T, Krunz M. Coverage-time optimization for clustered wireless sensor networks:a power-balancing approach. IEEE/ACM Transactions on Networking, 2010, 18(1):202-215
    [16]
    Liu Z X, Zheng Q C, Xue L, Guan X P. A distributed energyefficient clustering algorithm with improved coverage in wireless sensor networks. Future Generation Computer Systems, 2012, 28(3):780-790
    • Related Articles
    • Supplements(0)

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1256) PDF downloads(14) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return