By Topic

Improving reliability of routing in Wireless Body Area Sensor Networks using 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
$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

4 Author(s)
S. Hassanpour ; Islamic Azad University, Tabriz Branch, Young Researchers Club, Iran ; Y. Vejdanparast ; B. Asadi ; P. Zargar

Wireless Body Area Sensor Networks is a highly distributed network, which its nodes are the organizer itself and each of them has the ability of gathering and sending patient biomedical data to a terminal, which called sink. When data sent to sink from a path that does not have a distinct basis, the routing is an important challenge in Wireless Body Area Sensor Networks, also reliability and routing delay is considerable factors in these types of networks. A new method for improvement of routing which is using Genetic Algorithm proposed in this paper, such that for each of mentioned factors a weight based on their importance is specifying that have been repeated over the races and have improved the reliability and delay. Analysts and assess of proposed algorithm simulation results in MATLAB, show a remarkable improvement than other conventional methods.

Published in:

Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on  (Volume:2 )

Date of Conference:

10-12 June 2011