Accession Number:

ADA588224

Title:

Multi-Objective Optimization for Trustworthy Tactical Networks: A Survey and Insights

Descriptive Note:

Conference paper

Corporate Author:

ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD COMPUTATIONAL AND INFORMATION SCIENCES DIRECTORATE

Report Date:

2013-06-01

Pagination or Media Count:

38.0

Abstract:

Multi-objective optimization MOO is the process of optimizing multiple objective functions concurrently and systematically. Modern Army missions require a tactical network to achieve multiple objectives as multiple parties with different objectives are involved in collaborative mission execution. MOO problems have been studied extensively in the field of coalition formation based on evolutionary algorithms or game theoretic approaches. However, there has been no generic framework to consider MOO problems in tactical networks, particularly when the goals must be achieved based on the trustworthiness of participating entities. First, we provide a comprehensive survey of work on MOO formulation and solution techniques, particularly in coalition formation. Second, we extensively discuss MOO techniques and methods that have been used for coalition formation. We specifically investigate the use of trust in the process of coalition formation. Third, we look into tactical applications in which trust plays a pivotal role in mission success. Finally, we discuss future research directions of MOO design for trustworthy tactical networks.

Subject Categories:

  • Military Operations, Strategy and Tactics
  • Radio Communications
  • Command, Control and Communications Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE