Coverage problems in wireless ad-hoc sensor networks

By Seapahn Meguerdichian, Farinaz Koushanfar, Miodrag Potkonjak, Mani B. Srivastava. Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213), 2001

1,884 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/fbab2bba4d68f34ec5c12109eeea1f6f30bcb9ed

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Citations in the corpus

Cluster head election techniques for coverage preservation in wireless sensor networks (2009, background): “In many applications, cluster organization is a natural way to group spatially close sensor nodes, in order to exploit the correlation and eliminate redundancy that often exists among the sensor readings.”
Effective Coverage Control for Mobile Sensor Networks With Guaranteed Collision Avoidance (2007, background): “A similar goal is the focus of the paper [7], where Zou and Chakrabarty utilize the notion of “virtual forces” to enhance the coverage of a sensor network given an arbitrary initial deployment, and the paper [8], where the goal is to maximize target exposure in surveillance problems.”
Energy-efficient deployment of Intelligent Mobile sensor networks (2005, background): “The deployment cannot be determined a priori when the environment is unknown or hostile in which case the sensors may be air-dropped from an aircraft [6] or deployed by other means, generally resulting in a random placement [9], [10], [17], [25].”
Coverage and connectivity issues in wireless sensor networks: A survey (2008, methodology): “The two well-known approaches to the worst-case coverage problem are the Minimal Exposure Path [43] and the Maximal Breach Path [44,39], described below in Sections 4.”
Coverage in Wireless Sensor Networks (2004, background): “A WSN provides a new class of computer systems and expands people’s ability to remotely interact with the physical world.”
A directionality based location discovery scheme for wireless sensor networks (2002, background): “Examples of such localized network function include locationaided routing, collaborative signal processing, and optimization of communication tasks in the network [11, 13, 10, 7].”
Barrier coverage with wireless sensors (2005, methodology): “The work on maximal exposure paths in [15, 16, 22] focus on devising algorithms to find a least covered crossing path through the region between a given set of initial and final points.”
Sensor deployment and target localization based on virtual forces (2003, background): “The problem of evaluating the coverage provided by a given placement of sensors is discussed in [7].”
Sensor placement for grid coverage under imprecise detections (2002, background): “The problem of coverage provided by a given placement of sensors has also been discussed in literature [12].”
Energy-efficient target coverage in wireless sensor networks (2005, background): “…[19], [15], where the main objective is to cover (monitor) an area, • point (or target) coverage [2], [9], where the objective is to cover a set of points (targets) and • coverage problems that have an objective to determine the maximal support/breach paths that traverse a sensor field [13], [10].”
Maintaining Sensing Coverage and Connectivity in Large Sensor Networks (2005, background): “The works reported in [21], [18] defines coverage (totally differently) as finding a path through a sensor network, given the location of all sensors.”
A Survey of Fault Management in Wireless Sensor Networks (2007, neutral): “Sensor network coverage in the worst and the best case for a given network has also been evaluated [14].”
Exposure in wireless Ad-Hoc sensor networks (2001, methodology): “References [ Meg01 ] presents other formulations of coverage in sensor networks.”