Sensor Network Deployment Optimization for Improved Area Coverage Using a Genetic Algorithm

• Authors: Łukasz Szklarski

Abstracts

EN

Ensuring optimal coverage is a central objective of every sensor deployment plan. Effective monitoring of the environment helps to minimize manpower and time, while enhancing surveillance capability. In this paper, a solution for improved area coverage was presented. A lattice of a pre-defined parameter has been used as an input for the algorithm. For the purpose of the research the blanket deployment strategy has been adopted. Then, a genetic algorithm has been proposed and implemented to find an optimal solution. The proposed approach has been tested and the conclusions have been drawn. The results proved that the proposed genetic algorithm could already provide satisfactory results, usually finding only suboptimal solutions.

Keywords

EN

network of sensors; genetic algorithm; sensors deployment; area coverage

• Publisher: Wyższa Szkoła Bezpieczeństwa Publicznego i Indywidualnego “Apeiron” w Krakowie
• Journal: Security Dimensions: International & National Studies
• Year: 2016
• Volume: 19(19)
• Pages: 150-181

Contributors

author

Łukasz Szklarski

Identifiers

Biblioteka Nauki

1861643