By Topic

A New Clustering Algorithm Based on the Optimum One-Hop Distance in 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

5 Author(s)
Min Xiang ; Coll. of Autom., Chongqing Univ., Chongqing ; Weiren Shi ; Xiaohui Zhang ; Zhiyong Luo
more authors

It is very important to maximize the lifetime of wireless sensor networks (WSN) operated on limited power. In order to improve the energy efficiency and prolong the network lifetime, a new clustering algorithm based on the optimum one-hop distance is presented. The relationship among the energy consumption, the device electronic energy and the one-hop transmission distance is analyzed, and then the inverse ratio of the energy consumption increment to the cube of the optimal one-hop distance is gained. So, the clustering algorithm based on the optimal one-hop distance is given to reduce energy consumption. All sensor nodes are divided into different static clusters based on the optimum one-hop distance, and the distance between the fore-and-aft adjacent cluster heads equals or approximates to the optimum one-hop distance, which reduces the energy consumption for inter-cluster communication. At the same time, cluster head acts continuously as local control center and will not be replaced by the candidate cluster head until it almost exhausts its energy supply, which can lessen energy consumption for establishing the new cluster head. Finally, the simulation results demonstrate that the algorithm achieves good effect to prolonging the system lifetime.

Published in:

Embedded Software and Systems, 2008. ICESS '08. International Conference on

Date of Conference:

29-31 July 2008