Sensor deployment and target localization based on virtual forces

By Yi Zou, Krishnendu Chakrabarty. IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428), 2003

1,134 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/ecf2033dc0c304224cd33195b555aed39f88fa43

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Citations in the corpus

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.”
Movement-assisted sensor deployment (2004, background): “For example, the work in [13] assumes that a powerful cluster head is available to collect the sensor location and determine the target location of the mobile sensors.”
Key distribution mechanisms for wireless sensor networks : a survey (2005, methodology): “…distributed wireless sensor network, dynamic key generation, group-wise key, hierarchical wireless sensor network, key distribution, key matrix, key pre-distribution, master key, network-wise key, pair-wise key, pairwise key pre-distribution, polynomial key share, random key pre-distribution”
Sensor relocation in mobile sensor networks (2005, methodology): “For example, the work in [ 24 ] assumes that a powerful cluster head is available to collect information and determine the target location of the mobile sensors.”
Mobility improves coverage of sensor networks (2005, background): “Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for pro.t or commercial advantage and that copies bear this notice and the full citation on the .rst page.”
Handbook of Sensor Networks: Algorithms and Architectures (2005, background): “Calamari [68] Localization solutions for sensor networks CotsBots [69] Inexpensive and modular mobile robots built using offthe-shelf components to investigate distributed sensing and cooperation algorithms in large (.”
An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks (2013, methodology): “Appendix Virtual Force Algorithm Zou and Chakrabarty [56], [57] proposed a virtual force algorithm (VFA) as a sensor deployment strategy.”
Cooperative sensor deployment for multi‐target monitoring (2008, methodology): “If the objective can be further decomposed into disjoint local sub-objectives, a decentralized control solution is usually achievable [8, 22, 23, 25].”
Coverage and connectivity issues in wireless sensor networks: A survey (2008, methodology): “Similar to the potential field-based approach, a sensor deployment technique based on virtual forces is proposed in [74] and [73] to increase the area coverage after an initial random deployment.”
A survey on coverage and connectivity issues in wireless sensor networks (2012, background): “The simulation result of Zou and Chakrabarty (2003) shows that a sensor deployment technique based on virtual forces can increase the area coverage after an initial random deployment.”