Positioning and Utilizing Sensors on a 3-D Terrain Part I-Theory and Modeling


TOPCUOĞLU H. R. , Ermis M., Sifyan M.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, vol.41, no.3, pp.376-382, 2011 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 41 Issue: 3
  • Publication Date: 2011
  • Doi Number: 10.1109/tsmcc.2010.2055850
  • Title of Journal : IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
  • Page Numbers: pp.376-382
  • Keywords: Multiattribute utility (MAU) theory, multiobjective optimization, sensor planning, viewpoints, ROBOT VISION, NETWORKS, OCCLUSION, COVERAGE

Abstract

Positioning multiple sensors for acquisition of a given environment is one of the fundamental research areas in various fields, such as military scouting, computer vision, and robotics. In this paper, we propose a new model for the problem of sensor deployment. Deploying and configuring a set of given sensors on a synthetically generated 3-D terrain have multiple objectives on conflicting attributes: maximizing the visibility of the given terrain, maximizing the stealth of the sensors, and minimizing the cost of the sensors used. Since they are utility-independent, these complementary and conflicting objectives are modeled by a multiplicative total utility function, based on multiattribute utility theory. The total utility function proposed in this paper can also be adapted for various military scouting missions with different characteristics.