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Localization-Oriented Network Adjustment in Wireless Ad Hoc and Sensor Networks
Jan. 2014 (vol. 25 no. 1)
pp. 146-155
Tao Chen, National University of Defense Technology, Changsha
Zheng Yang, Hong Kong Universtiy of Science and Technology, Hong Kong and Tsinghua University, Beijing
Yunhao Liu, Hong Kong Universtiy of Science and Technology, Hong Kong and Tsinghua University, Beijing
Deke Guo, National University of Defense Technology, Changsha
Xueshan Luo, National university of Defense Technology, Chagnsha
Localization is an enabling technique for many sensor network applications. Real-world deployments demonstrate that, in practice, a network is not always entirely localizable, leaving a certain number of theoretically nonlocalizable nodes. Previous studies mainly focus on how to tune network settings to make a network localizable. However, the existing methods are considered to be coarse-grained, since they equally deal with localizable and nonlocalizable nodes. Ignoring localizability induces unnecessary adjustments and accompanying costs. In this study, we propose a fine-grained approach, localizability-aided localization (LAL), which basically consists of three phases: node localizability testing, structure analysis, and network adjustment. LAL triggers a single round adjustment, after which some popular localization methods can be successfully carried out. Being aware of node localizability, all network adjustments made by LAL are purposefully selected. Experiment and simulation results show that LAL effectively guides the adjustment while makes it efficient in terms of the number of added edges and affected nodes.
Index Terms:
Ad hoc networks,Distance measurement,Mobile nodes,Wireless sensor networks,Wireless communication,Educational institutions,sensor networks,Localization,localizability,network deployment,wireless ad hoc networks
Citation:
Tao Chen, Zheng Yang, Yunhao Liu, Deke Guo, Xueshan Luo, "Localization-Oriented Network Adjustment in Wireless Ad Hoc and Sensor Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 1, pp. 146-155, Jan. 2014, doi:10.1109/TPDS.2013.17
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