Mobile Sensor Network Deployment using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem

By Andrew Howard, Maja J. Mataric, G. Sukhatme. International Symposium on Distributed Autonomous Robotic Systems, 2002

1,497 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/a73cfc5b2aa108ade1a0ca6007f54b64f1316aad

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In Computer Networks and Communications

In Mechanical Engineering

Citations in the corpus

Coverage control for mobile sensing networks (2002, background): “An example of coverage control is discusse d in [29].”
Sensor placement for grid coverage under imprecise detections (2002, background): “Self-deployment for mobile sensors based on the notion of potential fields has been presented in [13].”
Coverage and connectivity issues in wireless sensor networks: A survey (2008, methodology): “In [30], a potential field-based deployment technique using mobile robots is proposed, while in [51], the scheme is augmented so that every node has at least K neighbors.”
Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection (2006, background): “…sensor robots had the ability to detect obstacles and each other (beyond the small field of view of the color tracking camera), then swarm-type approaches to deployment would be appropriate, such as reported in: Howard, Mataric, and Sukhatme (2002); Payton et al. (2001); Chakrabarty et al. (2001).”
Sensor relocation in mobile sensor networks (2005, methodology): “, moving sensors to provide certain initial coverage [11], [12], [20], [21], [24].”
Coverage Optimization and Spatial Load Balancing by Robotic Sensor Networks (2010, background): “Other works on deployment coverage problems include [13], [14].”
Near-optimal sensor placements in Gaussian processes (2005, neutral): “Another method that yields a continuous optimization, in the case of geometric objective functions, is the potential field approach (Heo and Varshney, 2005; Howard et al., 2002).”
Sensor placement for effective coverage and surveillance in distributed sensor networks (2003, background): “Self-deployment for mobile sensors based on the notion of potential fields is presented in [8].”
An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks (2013, background): “most sensor network applications deal with a large number of sensors, many studies for efficient placement under various situations and environments have been conducted [3], [6], [8], [10], [15], [18], [22], [24], [35], [37], [38], [41], [46], [47], [49], [50], [54]–[57].”
Convergence-Preserving Switching for Topology-Dependent Decentralized Systems (2008, background): “For example, one might model agents as positiv e charges and targets as negative charges (similar to [9]), so that the agents normally disperse but are attracted to targe t areas.”
A survey on coverage and connectivity issues in wireless sensor networks (2012, methodology): “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 (Dhillon and Chakrabarty, 2003a) or deployed by other means generally resulting in a random placement (Howard et al., 2002).”
Massively multi-robot simulation in stage (2008, methodology): “The algorithm is a simple approximation of Howard's approach (Howard et al. 2002), is trivial to implement, uses a single, commonly available class of sensor, and has the advantages of being stateless, thus requiring no perrobot storage between updates, and deterministic, avoiding the need for…”
Vision-Controlled Micro Flying Robots: From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments (2014, methodology): “The third contribution is an offline dense-mapping process that merges the individual maps of each MAV into a single, global map that serves as input to the global navigation module.”
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).”