A directionality based location discovery scheme for wireless sensor networks

By Asis Nasipuri, Kai Li. ACM International Conference on Wireless Sensor Networks and Applications, 2002

474 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/2b09bcf05246180de9950ac82f23d77fc2ebe754

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Peng Ning
2. Yunhao Liu
3. Donggang Liu
4. Zheng Yang
5. Yi Shang
6. Wheeler Ruml
7. Markus P. J. Fromherz
8. Y. Zhang

In Electrical and Electronic Engineering

1. Yunhao Liu
2. Zheng Yang
3. Yi Shang
4. Wheeler Ruml
5. Markus P. J. Fromherz
6. Y. Zhang
7. Sajal K. Das
8. Ratan K. Ghosh

In Ocean Engineering

1. Zheng Yang
2. Yunhao Liu
3. Ratan K. Ghosh
4. Jing Wang
5. Sajal K. Das
6. Markus P. J. Fromherz
7. Y. Zhang
8. Yi Shang

Citations in the corpus

• Angle of Arrival Localization for Wireless Sensor Networks (2006, methodology): “Other techniques to detect the angles between nodes are discussed in [6] and [7].”
• A survey on sensor localization (2010, background): “Distance measurements can be obtained by utilizing the received signal strength indicator (RSSI), time of arrival (TOA), time difference of arrival (TDOA), etc., while angle measurements rely on compasses or special antennas [ 8 ].”
• Attack-resistant location estimation in sensor networks (2005, methodology): “Many range-based localization schemes have been proposed f r sensor networks [5], [19], [20], [26], [27].”
• Localization from mere connectivity (2003, background): “Many existing localization techniques for networks use distance or angle measurements from a fixed set of reference points or anchor nodes and apply multilateration or triangulation techniques to find coordinates of unknown nodes [8, 11].”
• Multiple sink network design problem in large scale wireless sensor networks (2004, methodology): “Location information can easily be derived, using central or distributed methods (see [8],[ 9 ]).”
• Localization of wireless sensor networks with a mobile beacon (2004, background): “Directional approaches considering steerable directional antennas have been explored [30].”
• Silent Positioning in Underwater Acoustic Sensor Networks (2008, unknown): “(43) Now, replacing (k1k2/R2) = (k1/R)(k2/R), (k1k3/R2) = (k1/R)(k3/R), and (k2k3/R2) = (k2/R)(k3/R) by 0, we obtain x ≈ R 2 + k1 2R (k2 + k3) − k1 √ 3 2 = R 2 + k1k∗2,3 (44) where k∗2,3 = (k2 + k3)/2R − √ 3/2.”
• Localization with mobile anchor points in wireless sensor networks (2005, background): “First, the range-based schemes need either node-to-node distances or angles for estimating locations [8]–[15].”
• Localization from connectivity in sensor networks (2004, methodology): “ToA methods have better accuracy, but may require additional hardware at the nodes to receive a signal that has a smaller propagation speed than radio, such as ultrasound [18], [19].”
• Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards (2007, methodology): “[89] uses anchors equipped with high power transmitters emitting beacon signals on a narrow directional beam rotating with a constant angular velocity.”
• Location, Localization, and Localizability (2010, methodology): “A straightforward localization technique, involving three rotating reference beacons at the boundary of a sensor network providing localization for all interior nodes, is described in [32].”
• TPS: a time-based positioning scheme for outdoor wireless sensor networks (2004, methodology): “[25] first transforms TDoA measurements in to AoA information and then applies triangulation to compute location.”