Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Prediction-based clustering algorithm for mobile 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)
Koucheryavy, A. ; Central Sci. Res. Telecommun. Inst., Moscow, Russia ; Salim, A.

In recent years, a new paradigm of sensor networks, mobile sensor networks (MSNs), are emerging. They inherit all the properties from static wireless sensor networks (WSNs) and meanwhile have their own uniqueness, node mobility. Cluster-based architecture in MSNs have the advantage of providing scalable and resource efficient solutions. Thus, finding an optimal way to generate clusters is an important topic in MSNs. In this paper, we present a prediction-based clustering algorithm for MSNs. Our proposed algorithm uses adequate criterion for cluster-head election in conjunction with heuristic predictors to generate steady and balanced clusters. The results of the simulation experiments clearly show the benefit of the proposed algorithm in terms of network life time.

Published in:

Advanced Communication Technology (ICACT), 2010 The 12th International Conference on  (Volume:2 )

Date of Conference:

7-10 Feb. 2010