Habitat monitoring with sensor networks
By Robert Szewczyk, E. Osterweil, Joseph Polastre, Michael P. Hamilton, Alan M. Mainwaring, Deborah Estrin. CACM, 2004
798 citations recorded by the source corpus.
Subfields: Ecological Modeling
View Paper: https://www.semanticscholar.org/paper/1f005d7ce1e4ef7e90d19488e8e0362ebd41b3d9
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In Ecological Modeling
Citations in the corpus
- Real-time forest fire detection with wireless sensor networks (2005, background): “Sensor networks, usually composed of a few sinks and a large quantity of inexpensive and small sensor nodes, have been deployed in a variety of applications [5] such as habitat monitoring [14], forest fire detection, etc.”
- Clock synchronization for wireless sensor networks: a survey (2005, methodology): “A huge surge of interest in this field has been triggered by applications in domains as diverse as military [16], environmental [7,8,63], medical [33], scientific [1,5,39,60,72,73 and industrial, civilian, and home networks [9,33,41,69,70], as shown in Table 1.”
- Wireless Sensor Networks for Ecology (2005, background): “The advent of small, low-power systems that integrate sensors, processors, and communications in a “mote,”“pod,” or “orb” holds great promise for future biologists (Harvey et al. 1998, Delin 2002, Estrin et al. 2003,Vernon et al. 2003, Woodhouse and Hansen 2003, Yao et al. 2003, Szewczyk et al. 2004”
- A distributed consensus protocol for clock synchronization in wireless sensor network (2007, background): “application needing a time-synchronization service, is habitat monitoring [16] [17], where many battery-powered nodes are deployed in the area of interest for an extended period of time without possibility of battery replacement.”
- An analysis of a large scale habitat monitoring application (2004, result): “We compare the results collected to expectations set during the design phase: we were able to accurately predict lifetime of the single-hop network, but we underestimated the impact of multihop traf.c overhearing and the nuances of power source selection.”
- A Secured Authentication Protocol for Wireless Sensor Networks Using Elliptic Curves Cryptography (2011, background): “Other applications include environment tracking and habitat monitoring, etc. [2-5].”
- Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks (2007, methodology): “The data in our evaluation are a set of real sensor measurements gathered from a deployment of wireless sensors in the Great Duck Island project [23].”
- Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring (2011, background): “Wireless sensor networks can be used for military applications, habitat monitoring, machine health monitoring and guidance, traffic pattern monitoring and navigation, plant monitoring in agriculture [29], and infrastructure monitoring.”
- Wireless sensor networks for personal health monitoring: Issues and an implementation (2006, background): “For example, they can be used for habitat monitoring [10], machine health monitoring and guidance, traffic pattern monitoring and navigation, plant monitoring in agriculture [11], and infrastructure monitoring.”
- Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop (2008, methodology): “We assume that all observation packets correctly delivered to the estimator site are stored in an infinite buffer, as shown in Fig.”
- Environmental Sensor Networks: A revolution in the earth system science? (2006, methodology): “…by the Centre for EmbeddedNetwork Sensing at University of California, Los Angeles (UCLA) which has over eight projects in different environments (Szewczyk et al., 2004) and NASA's JPL laboratory which has developed over nine deployments (Delin et al., 2005) (now available at SensorWare Systems).”
- Micro-Blog: sharing and querying content through mobile phones and social participation (2008, methodology): “This model has been most successful in scientific and military settings such as wildlife surveillance [2], volcano monitoring [5], vehicle tracking [6], and environment sensing [7].”