Robust range estimation using acoustic and multimodal sensing

By Lewis Girod, Deborah Estrin. Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180), 2001

593 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/2d4ad6826ed95a6b17709278b9f2b6c729b1163f

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. J. Stankovic
2. Deborah Estrin
3. Tian He
4. Ramesh Govindan
5. John S. Heidemann
6. Scott Shenker
7. Bodhi Priyantha
8. Dawn Song

In Electrical and Electronic Engineering

1. Bodhi Priyantha
2. Deborah Estrin
3. J. Stankovic
4. John S. Heidemann
5. Tian He
6. Ramesh Govindan
7. Dawn Song
8. James Newsome

In Ocean Engineering

1. Bodhi Priyantha
2. J. Stankovic
3. Deborah Estrin
4. Tian He
5. John S. Heidemann
6. Dawn Song
7. James Newsome
8. Paolo Santi

Citations in the corpus

• Localization algorithms of Wireless Sensor Networks: a survey (2011, methodology): “Range-based techniques have used Received Signal Strength (RSS) [10], Time of Arrival (TOA) [13], Time Difference of Arrival (TDoA) [9], or Angle of Arrival (AoA) [41].”
• Broadband ultrasonic location systems for improved indoor positioning (2006, methodology): “This section discusses a signaling method appropriate for distance measurement with broadband ultrasound and presents the ranging accuracy of the method.”
• TPS: a time-based positioning scheme for outdoor wireless sensor networks (2004, background): “[8] designs and analyzes an acoustic ranging system for robotics ap-”
• Range-free localization schemes for large scale sensor networks (2003, background): “Work to mitigate such errors such as robust range estimation ([11]), two-phase refinement positioning ([29], [31]), and parameter calibration ([34]) have been proposed to take advantage of averaging, smoothing, and alternate hybrid techniques to reduce error to within some acceptable limit.”
• Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards (2007, background): “The two messages use different communication mediums so they have different propagation times (radio and ultrasound are commonly used [40,102]).”
• Topology control in wireless ad hoc and sensor networks (2005, methodology): “For example, the technique proposed in (Girod and Estrin 2001) uses a standard PC sound card to generate an acoustic signal,”
• Distributed localization in wireless sensor networks: a quantitative compariso (2003, unknown): “Much better results are obtained by timeof-flight measurements, particularly when acoustic and RF signals are combined [12] [15]; accuracies of a few percent of the transmission range are reported .”
• Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks (2002, background): “Like previous work, however, we do assume the existence of a localization system [22] [2] [18] [7] [19] that enables each node to know its current position.”
• Location, Localization, and Localizability (2010, background): “These can be mitigated to a large extent using simple spread-spectrum techniques, like those described in [29].”
• GEM: Graph EMbedding for routing and data-centric storage in sensor networks without geographic information (2003, methodology): “Current methods of determining geographic location[3, 7, 10, 12, 28] consume much energy and may not be possible in many sensor network scenarios.”
• Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks (2002, unknown): “Much better results are obtained by time-of-flight measurements, particularly when acoustic and RF signals are combined [6] [12]; accuracies of a few percent of the transmission range are reported.”
• BeepBeep: a high accuracy acoustic ranging system using COTS mobile devices (2007, background): “However, we do not claim that is optimal, and we put optimal design of ranging signal as a future work and some valuable insights have been discovered in [33].”
• A Theory of Network Localization (2006, unknown): “Network localization is an active research £eld, e.g., [1], [5], [10]–[12], [17], [20], [ 25 ], [26], [30],”
• Data-Centric Storage in Sensornets with GHT, a Geographic Hash Table (2003, methodology): “This can be achieved through the use of GPS or some other approximate but less burdensome localization technique [4] [9] [22] [23] [25].”