By Topic

A Novel Uneven Clustering Algorithm Based on Ant Colony Optimization for 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
$31 $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

2 Author(s)
Rongbo Zhang ; Instn. of Autom. Control, Xi''an Jiaotong Univ., Xi''an, China ; Jianfu Cao

Energy-efficient uneven clustering (EEUC) algorithm is a novel algorithm which can balance energy cost among cluster headers and extend network's general survival time effectively. However, EEUC needs to do cluster header election every round, and fails to take network's reliability and real-time issues into account. This paper presents a novel uneven cluster-based routing protocol for wireless sensor networks: ant colony optimization based uneven clustering (ACOUC) algorithm. ACOUC changes EEUC's periodical and random election model, optimizes and maintains network's routing on employ of an ant colony algorithm based on its characteristics of self-organization, self-adaptation and dynamic optimization. Simulation results on OPNET show that ACOUC is better than EEUC in energy efficiency, reliability and real-time performance.

Published in:

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on  (Volume:1 )

Date of Conference:

10-11 Oct. 2009