Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

This chapter explores some of the design concerns associated with distributed data fusion (DDF) systems and describes how they could be overcome. It introduces several critical design concerns that must be resolved if a multi-agent DDF system is to succeed in practice. The chapter describes the resolution of information recycling concerns a technique known as bounded covariance inflation (BCI). It examines the needs for coordinated actions within a DDF system and describes how this can be achieved with the max-sum algorithm. The chapter deals the chapter with some perspectives on the new design challenges that will be raised by future DDF systems that achieve effect by tightly interleaving human and software agent endeavors. The sensors themselves must be equipped with capability to self-organize and coordinate sometime after deployment once the local environment in which they find themselves has been determined. Three sensor management strategies were implemented: local, centralized, and decentralized.

Original publication

DOI

10.1201/b10124-2

Type

Chapter

Book title

Distributed Data Fusion for Network-Centric Operations

Publication Date

01/01/2017

Pages

17 - 46