By Topic

SNDT: A genetic algorithm-based protocol selection tool for wireless network design

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)
Jin Fan ; Dept. of Electron. & Electr. Eng., Loughborough Univ., Loughborough, UK ; Parish, D.J.

There is a growing need for tools that could help Wireless Network system designers in selection of different protocols before a practical network deployment. A Genetic Algorithm(GA)-based Sensor Network Design Tool(SNDT) is proposed in this work for wireless sensor network design in terms of performance, considering application-specific requirements, deployment constrains and energy characteristics. SNDT relies on offline simulation analysis to help resolve design decisions and could be applied to other types of wireless network. A GA is used as the optimization tool of the proposed system and an appropriate fitness function is derived to incorporate many aspects of network performance. The configuration attributes optimized by SNDT comprise the communication protocol selection and the number of nodes deployed in a fixed area.

Published in:

Cognitive Wireless Systems (UKIWCWS), 2009 First UK-India International Workshop on

Date of Conference:

10-12 Dec. 2009