期刊文献+

3DT-PP:localization and path planning of mobile anchors over complex 3D terrains 被引量:1

3DT-PP:localization and path planning of mobile anchors over complex 3D terrains
下载PDF
导出
摘要 Mobile anchors are widely used for localization in WSNs.However,special properties over 3D terrains limit the implementation of them.In this paper,a novel 3D localization algorithm is proposed,called 3 DT-PP,which utilizes path planning of mobile anchors over complex 3 D terrains,and simulations based upon the model of mountain surface network are conducted.The simulation results show that the algorithm decreases the position error by about 91%,8.7%and lowers calculation overhead by about 75%,1.3%,than the typical state-of-the-art localization algorithm(i.e.,'MDS-MAP','Landscape-3D').Thus,our algorithm is more potential in practical WSNs which are the characteristic of limited energy and 3D deployment. Mobile anchors are widely used for localization in WSNs.However,special properties over 3D terrains limit the implementation of them.In this paper,a novel 3D localization algorithm is proposed,called 3DT-PP,which utilizes path planning of mobile anchors over complex 3D terrains,and simulations based upon the model of mountain surface network are conducted.The simulation results show that the algorithm decreases the position error by about 91%,8.7% and lowers calculation overhead by about 75%,1.3%,than the typical state-of-the-art localization algorithm (i.e.,‘ MDS-MAP’,‘ Landscape-3D’).Thus,our algorithm is more potential in practical WSNs which are the characteristic of limited energy and 3D deployment.
出处 《High Technology Letters》 EI CAS 2014年第4期367-375,共9页 高技术通讯(英文版)
基金 Supported by the Important National Science and Technology Specific Project of China(No.20112X03002-002-03) the National NatureScience Foundation of China(No.61133016,61163066)
关键词 定位算法 路径规划 3D 地形 移动 无线传感器网络 特殊性质 concave/convex decomposition path planning for mobile anchor nodes 3D-localization algorithm wireless sensor network (WSN)
  • 相关文献

参考文献3

二级参考文献40

  • 1张正勇,孙智,王刚,余荣,梅顺良.基于移动锚节点的无线传感器网络节点定位[J].清华大学学报(自然科学版),2007,47(4):534-537. 被引量:20
  • 2Hedley M, Humphrey D, Ho P. System and algorithms for accurate indoor tracking using low-cost hardware. In: Proceedings of the 2008 IEEE/ION Position, Location and Navigation Symposium, Monterey, USA, 2008. 633- 640.
  • 3Kaemarungsi K. Efficient design of indoor positioning sys- tems based on location fingerprinting. In: Proceedings of the 2005 International Conference on Wireless Networks, Communications and Mobile Computing, Maul, USA, 2005. 181-186.
  • 4Baala O, Caminada A. Location precision in indoor posi- tioning system. In: Proceedings of the 2006 Innovations in Information Technology, Dubai, United Arab Emir- ates, 2006. 1-5.
  • 5Hatami A, Pahlavan K. Comparative statistical analysis of indoor positioning using empirical data and indoor radio channel models. In: Proceedings of the 2006 3rd IEEE Consumer Communications and Networking Conference, Las Vegas, USA, 2006. 1018-1022.
  • 6Borenovic M, Neskovic A, Budimir D, et al. Utilizing artificial neural networks for WLAN positioning. In: Proceedings of the 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, Poznan, Poland, 2008. 1-5.
  • 7Cover T M, Hart P E. Nearest neighbor pattern classifica- tion. IEEE Transactions on Information Theory, 1967,13 (1): 21-27.
  • 8Bezdek J C. A convergence theorem for the fuzzy ISODA- TA clustering algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980, PAMI-2 ( 1 ) : 1-8.
  • 9Zahid N, Abouelala O, Limouri M, et al. Fuzzy clustering based on K-nearest-neighbors rule. Fuzzy Sets and Systems, 2001, 120:239-247.
  • 10Chen H Y, Ping D, Xu Y J, et al. A novel localization scheme based on RSS data for wireless sensor networks. Advanced Web and Network Technologies, and Applications, 2006, 3842:315-320.

共引文献12

同被引文献13

  • 1QU H,HOU G,GUO Y,et al.Localization with single stationary anchor for mobile node in wireless sensor networks[J].International Journal of Distributed Sensor Networks,2013(1):74-82.
  • 2ZHOU H,WU H,JIN M.A robust boundary detection algorithm based on connectivity only for 3D wireless sensor networks[C]//2012 Proceedings IEEE on International Conference on Computer Communications.Orlando,USA:IEEE,2012.
  • 3WANG R J,BAO H L,CHEN D J,et al.3D-CCD:a novel 3D localization algorithm based on concave/convex decomposition and layering scheme in WSNs[J].Ad hoc & Sensor Wireless Networks,2014(23):235-254.
  • 4WANG J,HUANG L,LI X,et al.A collaborative localization scheme from connectivity in wireless sensor networks[C]//Wired/Wireless Internet Communications.Finland:Springer,2008:213-223.
  • 5WANG R J,QIN Z G.A weighted 3D localization algorithm based on partial hop size in wireless sensor network[J].International Journal of Advancementsin Computing Technology,2012,4(9):504-513.
  • 6SHENG X,HU Y H,RAMANATHAN P.Distributed particle filter with GMM approximation for multiple targets localization and tracking in wireless sensor network[C]//Proceedings of the 4th International Symposium on Information Processing in Sensor Networks.[S.l.]:IEEE,2005.
  • 7ZHANG W,CAO G.DCTC:Dynamic convoy tree-based collaboration for target tracking in sensor networks[J].IEEE Transactions on Wireless Communications,2004,3(5):1689-1701.
  • 8JI X,ZHA H,METZNER J J,et al.Dynamic cluster structure for object detection and tracking in wireless ad-hoc sensor networks[C]//IEEE International Conference on Communications.[S.l.]:IEEE,2004,7:3807-3811.
  • 9ABRAHAM I,DOLEV D,MALKHI D.LLS:a locality aware location service for mobile Ad hoc networks[C]//Proceedings of the 2004 Joint Workshop on Foundations of Mobile Computing.[S.l.]:ACM,2004.
  • 10SARKAR R,GAO J.Differential forms for target tracking and aggregate queries in distributed networks[J].IEEE/ACM Transactions on Networking,2013,21(4):1159-1172.

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部