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The Scientific World Journal
Volume 2014, Article ID 219371, 13 pages
http://dx.doi.org/10.1155/2014/219371
Research Article

A Mobile Anchor Assisted Localization Algorithm Based on Regular Hexagon in Wireless Sensor Networks

1Department of Information & Communication Systems, Hohai University, Changzhou 213022, China
2Guangdong Provincial Key Lab of Petrochemical Equipment Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming 525000, China
3Integrated Management Coastal Research Institute, Universidad Politecnica de Valencia, 46000 Valencia, Spain
4Instituto de Telecomunicações, University of Beira Interior, 6201-001 Covilhã, Portugal

Received 17 April 2014; Accepted 28 May 2014; Published 13 July 2014

Academic Editor: Zhongmei Zhou

Copyright © 2014 Guangjie Han et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [19 citations]

The following is the list of published articles that have cited the current article.

  • Alina Rubina, Oleksandr Artemenko, and Andreas Mitschele-Thiel, “OrLiOn: Optimized Route Planning for the Localization of Indoor Nodes from Outdoor environment,” 2015 IEEE 40th Conference on Local Computer Networks (LCN), pp. 438–441, . View at Publisher · View at Google Scholar
  • Oleksandr Artemenko, Alina Rubina, Tobias Simon, and Andreas Mitschele-Thiel, “Experimental Validation of Efficient Static Trajectories for the Localization of Wireless Nodes in a Mixed Indoor-Outdoor Scenario Using an Unmanned Aerial Vehicle,” Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use - DroNet '15, pp. 51–52, . View at Publisher · View at Google Scholar
  • P. Shunmuga Perumal, V. Rhymend Uthariaraj, and V.R. Elgin Christo, “Intelligent UAV-assisted localisation to conserve battery energy in military sensor networks,” Defence Science Journal, vol. 64, no. 6, pp. 557–563, 2014. View at Publisher · View at Google Scholar
  • Weijian Si, Xiaolin Li, Yilin Jiang, and Liangtian Wan, “A Novel Method Based on Oblique Projection Technology for Mixed Sources Estimation,” Mathematical Problems in Engineering, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Ruiyun Yu, Xingyou Xia, Shiyang Liao, and Xingwei Wang, “A Location Prediction Algorithm with Daily Routines in Location-Based Participatory Sensing Systems,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–12, 2015. View at Publisher · View at Google Scholar
  • Oleksandr Artemenko, Alina Rubina, Tobias Simon, and Andreas Mitschele-Thiel, “Evaluation of different static trajectories for the localization of users in a mixed Indoor-Outdoor scenario using a real unmanned aerial vehicle,” Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 155, pp. 123–133, 2015. View at Publisher · View at Google Scholar
  • Frank Comeau, Abdullah Alomari, Nauman Aslam, and William Phillips, “Using the DV-Hop technique to increase the localization ratio in static path planning models in wireless sensor networks,” 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016, 2016. View at Publisher · View at Google Scholar
  • Amin Kargar, and Ali Mahani, “A novel anchor-based localization method,” 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016, 2016. View at Publisher · View at Google Scholar
  • Chao-Feng Lin, Kuang-Hui Chi, Yu-Yuan Hsu, and Chun-Yi Liu, “Mobile anchor-assisted localization over android,” Wireless Networks, vol. 23, no. 8, pp. 2379–2394, 2016. View at Publisher · View at Google Scholar
  • Guangjie Han, Jiawei Shen, Li Liu, Aihua Qian, and Lei Shu, “TGM-COT: energy-efficient continuous object tracking scheme with two-layer grid model in wireless sensor networks,” Personal and Ubiquitous Computing, 2016. View at Publisher · View at Google Scholar
  • Hamzah Ali Abdulrahman Qasem, and Ash Mohammad Abbas, “MoveRL: A movement region based location discovery protocol for wireless sensor networks,” ACM International Conference Proceeding Series, vol. 04-05-, 2016. View at Publisher · View at Google Scholar
  • Guangjie Han, Aihua Qian, Jinfang Jiang, Ning Sun, and Li Liu, “A Grid-Based Joint Routing and Charging Algorithm for Industrial Wireless Rechargeable Sensor Networks,” Computer Networks, 2016. View at Publisher · View at Google Scholar
  • Lei Shu, Mithun Mukherjee, Xiaoling Xu, Kun Wang, and Xiaoling Wu, “A Survey on Gas Leakage Source Detection and Boundary Tracking with Wireless Sensor Networks,” IEEE Access, vol. 4, pp. 1700–1715, 2016. View at Publisher · View at Google Scholar
  • Abdullah Alomari, William Phillips, Nauman Aslam, and Frank Comeau, “Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless Sensor Networks,” Sensors, vol. 17, no. 8, pp. 1904, 2017. View at Publisher · View at Google Scholar
  • Parulpreet Singh, Arun Khosla, Anil Kumar, and Mamta Khosla, “A novel approach for localization of moving target nodes in wireless sensor networks,” International Journal of Grid and Distributed Computing, vol. 10, no. 10, pp. 33–44, 2017. View at Publisher · View at Google Scholar
  • Ali Sayyed, Gustavo Medeiros De Araújo, and Leandro Buss Becker, “EGL: Efficient geometry-based localisation in wireless sensor networks,” International Journal of Sensor Networks, vol. 25, no. 4, pp. 218–228, 2017. View at Publisher · View at Google Scholar
  • Abdullah Alomari, William Phillips, Nauman Aslam, and Frank Comeau, “Swarm Intelligence Optimization Techniques for Obstacle-Avoidance Mobility-Assisted Localization in Wireless Sensor Networks,” IEEE Access, pp. 1–1, 2017. View at Publisher · View at Google Scholar
  • Young Joon Kim, Byeongho Lee, Hyoungmin So, and Seong-Cheol Kim, “Localization Technique Considering Position Uncertainty of Reference Nodes in Wireless Sensor Networks,” IEEE Sensors Journal, pp. 1–1, 2017. View at Publisher · View at Google Scholar
  • Gulshan Kumar, Hye-Jin Kim, Mritunjay Kumar Rai, and Rahul Saha, “An improved DV-Hop localization with minimum connected dominating set for mobile nodes in wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 14, no. 1, 2018. View at Publisher · View at Google Scholar