School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore City, Singapore.
The rapid progress of wireless communication and the availability of
many small-sized, light-weighted and low-cost communication and computing devices
nowadays have greatly impacted the development of wireless sensor network.
Localization using sensor network has attracted much attention for its
comparable low-cost and potential use with mon- itoring and
targeting purposes in real and hostile application scenarios. Currently, there
are many available approaches to locating persons/things based on global
positioning system (GPS) and radio-frequency identification (RFID) technologies.
However, in some application scenario, e.g., disaster rescue application, such
localization devices may be damaged and may not provide the location
information of the survivors. The main goal of this paper is to design and develop a
robust localization technique for human existence detection in case of
disasters such as earthquake or fire. In this paper, we propose a 3-D
localization technique based on the hop-count data collected from sensor
anchors to estimate the location of the activated sensor mote in 3-D coordination.
Our algorithm incorporates two salient features, cubic-based output
and event-triggering mechanism, to guarantee both improved accuracy and power efficiency. Both simulation and experimental results indicate
that the proposed algorithm can improve the localization precision of the human
existence and work well in real environment.
H. Shwe, C. Wang, P. Chong and A. Kumar, "Robust Cubic-Based 3-D Localization for Wireless Sensor Networks," Wireless Sensor Network, Vol. 5 No. 9, 2013, pp. 169-179. doi: 10.4236/wsn.2013.59020.
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