By Topic

Finding the sensors location and the number of sensors in sensor networks with a genetic algorithm

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

4 Author(s)
Robatmili, M. ; Islamic Azad Univ., Tafresh, Iran ; Mohammadi, Mehdi ; Movaghar, A. ; Dehghan, M.

Sensor networks have recently emerged as a premier research topic. Sensor networks pose a number of new conceptual and optimization problems. Some, such as location, deployment, and tracking, are fundamental issues, in that many applications rely on them for needed information. While designing the sensor networks according to performed computation, the limited number of sensors to cover an area will be considered, so the proper placing of this limited number of sensors will cause costs to reduce regarding to coverage and development of the network in the next stage. In this paper we will present a genetic algorithm to solve the designing issue of the sensor network. The most important property of the presented algorithm is to find the sensors location and to discover the number of these sensors for the proper coverage and also to minimize the costs. This algorithm includes the ability to find the number of essential sensor for each real map.

Published in:

Networks, 2008. ICON 2008. 16th IEEE International Conference on

Date of Conference:

12-14 Dec. 2008