Constrained coverage for mobile sensor networks

By Sameera Poduri, G. Sukhatme. IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004

594 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/b515b83e2309962c4b77a3ac6de112d642f8389e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Mechanical Engineering

Citations in the corpus

Optimal Multirobot Path Planning on Graphs: Complete Algorithms and Effective Heuristics (2015, background): “…in tasks spanning assembly Halperin et al. (2000); Nnaji (1992), evacuation Rodriguez and Amato (2010), formation control Balch and Arkin (1998); Poduri and Sukhatme (2004); Shucker et al. (2007); Smith et al. (2009); Tanner et al. (2004), localization Fox et al. (2000), micro droplet…”
A review of swarm robotics tasks (2016, background): “latter case, robot movement can be determined following principles of artificial physics [120, 121], with the objective of preserving connectivity between swarm members [106, 116, 117], or to obtain formations described by a specific geometric relationship between neighboring robots [124, 126, 119].”
Potential Fields for Maintaining Connectivity of Mobile Networks (2007, background): “Other research areas closely related to the problems discussed in this paper are formation stabilization [5]–[17], and in particular, consensus seeking by autonomous agents [5]–[7], as well as coverage tasks [18].”
Drone networks: Communications, coordination, and sensing (2018, background): “Mobile robots with swarming capability that operate cooperatively and aim to achieve a global goal have also been considered (see [33],[34],[35],[2],[3]).”
Coverage and connectivity issues in wireless sensor networks: A survey (2008, methodology): “Similar to the potential field approach as described in by Poduri and Sukhatme [32], a sensor deployment algorithm based on virtual forces has been proposed [50,52] to increase the coverage after an initial random deployment.”
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”
Distributed connectivity control of mobile networks (2007, background): “Motivations come from the area of controlling formations of ground or aerial vehicles with applications in air traffic control, satellite clustering, automatic highways, mobile robotics and mobile sensor networks.”