Year: 2006
Type: dissertation
Abstract: Recent research in sensor networks has made it possible to deploy networks of sensors with significant local processing. These sensor networks are revolutionising informa-tion collection and processing in many different environments. Often the amount of local data produced by these devices, and their sheer number, makes centralised data processing infeasible. Smart camera networks represent a particular challenge in this regard, partly because of the amount of data produced by each camera, but also because many high level vision algorithms require data from more than one camera. Many distributed algorithms exist that work locally to produce results from a collection of nodes, but as this number grows the algorithm's performance is quickly crippled by the resulting exponential increase in communication overhead. This thesis examines the limits this puts on peer-to-peer cooperation between nodes, and demon-strates how for large networks these can only be circumvented by locally formed or-ganisations of nodes. A local group forming protocol is described that provides a method for nodes to create a bottom-up organisation based purely on local condi-
Authors: V. Michael Bove, Jacky Mallett
Institution: Massachusetts Institute of Technology
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2274611118