Differentiated surveillance for sensor networks

By Ting Yan, Tian He, J. Stankovic. ACM International Conference on Embedded Networked Sensor Systems, 2003

544 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/6a7db574c1778c923a280d22316ee3d29ddbec72

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In Computer Networks and Communications

Citations in the corpus

Wireless sensor network survey (2008, background): “[79] proposes a differentiated surveillance service protocol which provides different degrees of sensing coverage in a WSN.”
Cooperative Localization in Wireless Networks (2009, background): “Location-aware technologies can enable or benefit a vast array of additional applications, including intruder detection [ 7 ], blue force tracking [8], finding friends or landmarks [9], healthcare monitoring [10], asset tracking [11], and emergency 911 services [12], [13].”
Impact of radio irregularity on wireless sensor networks (2004, background): “The sensing coverage scheme in [26] assumes that sensing and communication ranges are spherical.”
Towards optimal sleep scheduling in sensor networks for rare-event detection (2005, background): “nodes to sleep while maintaining full coverage at a specified degree of redundancy [5], [6], [7], [8].”
A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues (2008, background): “Yan et al. [94] also introduce an optimization technique for the sensing overage in WSNs.”
Set k-cover algorithms for energy efficient monitoring in wireless sensor networks (2003, methodology): “The approach in [ 18 ] is to create a working schedule for each sensor node by sharing the time spent monitoring an area among all sensors that monitor that area.”
Models and solutions for radio irregularity in wireless sensor networks (2006, methodology): “The sensing coverage scheme in [Yan et al. 2003] assumes that sensing and communication ranges are spherical.”
The holes problem in wireless sensor networks: a survey (2005, background): “in [22] proposed a distributed density control algorithm capable of providing differentiated coverage based on different requirements in different parts of the deployed sensor network.”
Coverage by directional sensors in randomly deployed wireless sensor networks (2006, methodology): “First, as mentioned in [13], by configuring the set of targets as a set of regular grid points with a certain density, target coverage can be approximated as area coverage.”
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms (2004, methodology): “While [10, 12] proposed distributed algorithms, [11] proposed a centralized approach (Set K-Cover) to turn off sensors.”
Power conservation and quality of surveillance in target tracking sensor networks (2004, methodology): “scheme proposed in [ 28 ] belongs to the flrst method, while GAF [27] and PEAS [30] belong to the second method.”