A Game Theoretic Approach to Self-configuring, Non-cooperative Mobile Sensors for Monitoring Moving Targets

Abstract

The main objective of the core research is to use game theory and evolutionary game theory to analyze strategic interactions in wireless, mobile sensor networks with non-cooperative, selfish and malicious users. Our core objectives for this research are threefold: First, develop new game-theoretic models to represent interaction among heterogeneous, wireless and mobile sensor nodes. Second, develop new game-theoretic or other tools for analysis of complex interactions in non-cooperative wireless and mobile sensor domains. Third, we are developing new trust and privacy mechanisms for networks with autonomous mobile nodes without a central manager or a trusted authority. The research involves identifying the right equilibrium notion that captures the strategy interaction among sensor nodes and employing game theoretic or other derived tools in the design of new mobile sensor architectures and protocols. Our aim is to design game theoretic algorithms for autonomous, wireless sensor networks that achieve performance similar to those of cooperative networks with a central authority. We are adopting both analytical and experimental approaches to evaluate our results. We are using simulations to investigate certain behaviors.

Document Details

Document Type
DoD Grant Award
Publication Date
Dec 04, 2018
Source ID
W911NF1510572

Entities

People

  • Sundaraja Sitharama Iyengar

Organizations

  • Army Contracting Command
  • Florida International University
  • United States Army

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Networking
  • Game Theory.