2005 4th International Workshop on Information Processing in Sensor Networks

Format:

Book

Author/Creator:

Institute of Electrical and Electronics Engineers, author, issuing body.

Language:

English

Subjects (All):

Information networks--Congresses.

Information networks.

Multisensor data fusion--Congresses.

Multisensor data fusion.

Sensor networks--Congresses.

Sensor networks.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified] I E E E 2005

Language Note:

English

Summary:

We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a simple distributed iterative scheme, based on distributed average consensus in the network, to compute the maximum-likelihood estimate of the parameters. This scheme doesn't involve explicit point-to-point message passing or routing; instead, it diffuses information across the network by updating each node's data with a weighted average of its neighbors' data (they maintain the same data structure). At each step, every node can compute a local weighted least-squares estimate, which converges to the global maximum-likelihood solution. This scheme is robust to unreliable communication links. We show that it works in a network with dynamically changing topology, provided that the infinitely occurring communication graphs are jointly connected.

Notes:

Bibliographic Level Mode of Issuance: Monograph

ISBN:

9781509097708

1509097708