Habitat monitoring: application driver for wireless communications technology
By Alberto E. Cerpa, Jeremy Elson, Jerry Zhao, Deborah Estrin, Lewis Girod. CCRV, 2001
1,150 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/0da899a1104adf045980a8f9d65890122e9ed34a
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
- David E. Culler
- Deborah Estrin
- Bhaskar Krishnamachari
- Ramesh Govindan
- John S. Heidemann
- Mani B. Srivastava
- Ian F. Akyildiz
- Samuel Madden
In Computer Vision and Pattern Recognition
- Deborah Estrin
- Mani B. Srivastava
- Samuel Madden
- Bhaskar Krishnamachari
- David E. Culler
- Arun Agrahara Somasundara
- John S. Heidemann
- Wendi Rabiner Heinzelman
In Mechanical Engineering
- Deborah Estrin
- Mani B. Srivastava
- Arun Agrahara Somasundara
- Deepak Ganesan
- Ian F. Akyildiz
- Jan M. Rabaey
- Wendi Rabiner Heinzelman
- Bhaskar Krishnamachari
Citations in the corpus
- Statistical model of lossy links in wireless sensor networks (2005, background): “There have been several efforts to monitor habitats in sensor networks [2], which motivate the choice of this environment.”
- Localized algorithm for aggregate fairness in wireless sensor networks (2006, background): “Data collection from a field (or structure) is one of the predominant applications of sensor networks [12, 13, 14, 15, 16, 17].”
- A node scheduling scheme for energy conservation in large wireless sensor networks (2003, background): “The approaches for maintaining synchronized time energy efficiently have been discussed in [3].”
- A taxonomy of wireless micro-sensor network models (2002, methodology): “A model that is well-suited to this case is the Frisbee model [9].”
- Wireless sensor networks: a survey (2002, methodology): “One example of biocomplexity mapping of the environment is done at the James Reserve in Southern California [11].”
- Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards (2007, background): “Another possible application that was recently experimented [120,26,124] is the monitoring of animal species and collection of data concerning their habits, population, or position.”
- A public-key infrastructure for key distribution in TinyOS based on elliptic curve cryptography (2004, background): “Wireless sensor networks have been proposed for such applications as habitat monitoring [1], structural health monitoring [2], emergency medical care [3], and vehicular tracking [4], all of which demand some combination of authentication, integrity, privacy, and security.”
- DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks (2004, background): “[5] suggested that multiple nodes surrounding the target should collaborate to make the collected information more complete, reliable, and accurate.”
- Ultra-low duty cycle MAC with scheduled channel polling (2006, background): “Current applications such as habitat monitoring target sensor deployments of months or years [1, 15].”
- The impact of data aggregation in wireless sensor networks (2002, background): “They are intended for a broad range of environmental sensing applications from vehicle tracking to habitat monitoring [3], [18], [23].”
- Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling (2004, background): “Many applications with sens or networks are proposed, such as habitat monitoring [7], [11] , [19], [31], health caring [2], [27], battle-field surveilla nce and enemy tracking [8], [16], and environment observation and forecasting [1], [9], [24].”
- Building efficient wireless sensor networks with low-level naming (2001, methodology): “sides (we are beginning to explore this area [11]).”
- Data-Centric Storage in Sensornets with GHT, a Geographic Hash Table (2003, background): “Our discussion applies to this tiered approach as well, as long as the these " macronodes " are numerous and widely dispersed [5].”
- Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links (2009, background): “To bridge the growing gap between the lifetime requirements of sensor applications [2,34,42,48] and the limited availability of energy through fixed-budget batteries or energy harvesting [22], it is critical to have an energy-efficient communication architecture.”
- CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks (2008, background): “Recently, due to the achievement in low-power digital circuit and wireless communication, many applications of the WSNs are developed and already it is used in military object, habitat monitoring and object tracking[1][3].”
- Fidelity and yield in a volcano monitoring sensor network (2006, background): “Fidelity and Yield in a Volcano Monitoring Sensor Network Geoff WernerAllen*, Konrad Lorincz*, Jeff Johnson , Jonathan Lees , and Matt Welsh* * Division of Engineering and Applied Sciences, Harvard University Dept. of Earth Sciences, University of New Hampshire Dept. of Geological Sciences, Unive”