A distributed evolutionary algorithmic approach to the coverage problem for submersible sensors

Jason C. Tillett; Raghuveer Rao; Ferat Sahin

doi:10.1117/12.541664

1 September 2004 A distributed evolutionary algorithmic approach to the coverage problem for submersible sensors

Jason C. Tillett, Raghuveer Rao, Ferat Sahin

Proceedings Volume 5417, Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI; (2004) https://doi.org/10.1117/12.541664
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Untethered, underwater sensors, deployed for event detection and tracking and operating in an autonomous mode will be required to self-assemble into a configuration, which optimizes their coverage, effectively minimizing the probability that an event in the target area goes undetected. This organized, cooperative, and autonomous, spreading-out of the sensors is complicated due to sensors localized communication. A given sensor will not in general have position and velocity information for all sensors, but only for those in its communication area. A possible approach to this problem, motivated by an evolutionary optimization technique, Particle Swarm Optimization (PSO) is proposed and extended in a novel way. A distributed version of PSO is developed. A distributed version of PSO is explored using experimental fitness to address the coverage problem in a two dimensional area.

Citation Download Citation

Jason C. Tillett, Raghuveer Rao, and Ferat Sahin "A distributed evolutionary algorithmic approach to the coverage problem for submersible sensors", Proc. SPIE 5417, Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI, (1 September 2004); https://doi.org/10.1117/12.541664

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available