Title :
Accurate Sensors Localization in Underground Mines or Tunnels
Author :
Ahmad El Assaf;Slim Zaidi;Sofiene Affes;Nahi Kandil
Author_Institution :
INRS-EMT, Univ. du Quebec, Montreal, QC, Canada
Abstract :
In this paper, a novel localization algorithm tailored for underground mines is proposed. Using the proposed algorithm, each regular (i.e position-unaware) node estimates its distances to the anchor (i.e., position-aware) nodes exploiting only its locally available information. Furthermore, a new hop count adjustment scheme, which complies with the labyrinthic nature of underground mines, is developed to ensure an accurate distance estimation, thereby making our localization algorithm more precise. Simulations show that our proposed algorithm, consistently outperforms in underground mines the best representative localization algorithms currently available in the literature in terms of accuracy, even with the presence of radiation irregularities.
Keywords :
"Accuracy","Fuel processing industries","Wireless sensor networks","Signal processing algorithms","Sensors","Estimation","Algorithm design and analysis"
Conference_Titel :
Ubiquitous Wireless Broadband (ICUWB), 2015 IEEE International Conference on
DOI :
10.1109/ICUWB.2015.7324418