By Topic

A Dynamic-cluster Energy-aware Routing Algorithm Based on Neural Structure in the Wireless Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Guo Bin ; Northeastern University ; Li Zhe ; Wei Ze-Jun

The function of neural network of human beings is quite similar to that of the sensor network, which is a cluster of firmly related individual units performing a special function. According to the architecture of neural network, a dynamic-cluster energy-aware routing algorithm (DCEAR) has been proposed in this paper. The nodes on the network have adopted an active routing based on event awaking. Firstly, the event data dynamically elects a temporary cluster-header. Then the temporary cluster-header handles all the data it receives, and the handled data reflects the general instance of the region. In this way it has decreased the information that has to be forwarded and has reduced the energy consumption of the entire network. The backbone of the network is originated by genetic-tree algorithm. It will timely update the trunk of the genetic-tree in order to trade off the energy consumption of the whole network. So it has prolonged the lifetime of the network greatly. The result of our simulation indicates that it is a quite effective energy saving routing algorithm

Published in:

The Fifth International Conference on Computer and Information Technology (CIT'05)

Date of Conference:

21-23 Sept. 2005