Effective Coverage Control for Mobile Sensor Networks With Guaranteed Collision Avoidance
By Islam I. Hussein, Dusan M. Stipanovic. IEEE Transactions on Control Systems Technology, 2007
329 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/1708c0f7e64eb2a3f67dcb4d3248410eaa969a7f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Yue Wang
- Jorge Cortés
- Francesco Bullo
- Michael A. Demetriou
- Magnus Egerstedt
- Sonia Martínez
- Panos J. Antsaklis
- Islam I. Hussein
In Computer Networks and Communications
- Jorge Cortés
- Francesco Bullo
- Sonia Martínez
- Islam I. Hussein
- Yue Wang
- Magnus Egerstedt
- Michael A. Demetriou
- Panos J. Antsaklis
Citations in the corpus
- Control and Communication Challenges in Networked Real-Time Systems (2007, background): “In [61], coverage control of networks of mobile sensors with limited sensor range is treated and proved to provide guaranteed levels of performance even under incomplete connectivity of the network.”
- Awareness Coverage Control Over Large-Scale Domains With Intermittent Communications (2010, methodology): “iii) Refer to [14] for a comparison of computational efficiency of the proposed algorithm with other methods.”
- Scalable Approach to Uncertainty Quantification and Robust Design of Interconnected Dynamical Systems (2011, neutral): “In [28] and [41], the term coverage” is more of a dynamic concept and is a measure of how well the points on the trajectories of the sensor trajectories cover a domain.”
- Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (2009, background): “, 2001] on adaptive beacon placement for localization, [Poduri and Sukhatme, 2004] on network deployments that satisfy a pre-specified constraint in the number of neighbors of each robot, [Arsie and Frazzoli, 2007] on deployment strategies that minimize the expected time needed for any robot to serv”
- Estimation of Spatially Distributed Processes Using Mobile Spatially Distributed Sensor Network (2009, methodology): “In [51], the authors also guarantee collision avoidance, and in [52] they further modify the control law to guarantee collision-free coverage with a flocking behavior.”
- Coverage Optimization and Spatial Load Balancing by Robotic Sensor Networks (2010, background): “In [17], [18], a group of mobile sensors seeks to dynamically survey a given search domain providing a certain preset level of coverage.”
- Coverage control by multi-robot networks with limited-range anisotropic sensory (2009, background): “Other works on coverage problems include Howard, Mataric´, and Sukhatme (2002), Hussein and Stipanovic` (2007), Arsie and Frazxoli (2007), Kwok and Martı´nez (2007).”
- Awareness coverage control over large scale domains with intermittent communications (2008, methodology): “Note that this perturbation control law was used in [12], [13] and [16], but for a different coverage control formulation.”
- Nonsmooth Barrier Functions With Applications to Multi-Robot Systems (2017, background): “Numerous applications utilize multi-agent systems to achieve objectives in a robust and decentralized manner, including rendezvous, where agents must meet in a decentralized fashion; coverage control, in which agents must cover an area of importance; and flocking, which mimics biological systems [1]”