Co-adapting Mobile Sensor Networks to Maximize Coverage in Dynamic Environments

被引：0

作者：

De Rainville, Francois-Michel ^{[1
]}

Gagne, Christian ^{[1
]}

Laurendeau, Denis ^{[1
]}

机构：

[1] Univ Laval, Dept Genie Elect & Genie Informat, Lab Vis & Syst Numer, Quebec City, PQ G1V 0A6, Canada

来源：

PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12) | 2012年

基金：

加拿大自然科学与工程研究理事会;

关键词：

Cooperative co-evolution; swarm robotics; mobile sensor network; static and dynamic environment; visibility;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With recent advances in mobile computing, swarm robotics has demonstrated its utility in countless situations like recognition, surveillance, and search and rescue. This paper presents a novel approach to optimize the position of a swarm of robots to accomplish sensing tasks based on cooperative co-evolution. Results show that the introduced cooperative method simultaneously finds the right number of sensors while also optimizing their positions in static and dynamic environments.

引用

页码：1409 / 1410

页数：2

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