Multi-objective ant colony optimisation-based routing in WSNs
by Ansgar Kellner; Dieter Hogrefe
International Journal of Bio-Inspired Computation (IJBIC), Vol. 6, No. 5, 2014

Abstract: Wireless sensor networks (WSNs) are expected to play an important role for sensing applications in the near future. A simple but robust way for the routing in WSNs is the use of multi-objective ant colony optimisation (MOACO) algorithms, biologically-inspired algorithms that are capable of considering multiple objectives in the optimisation process at the same time. In this paper MARFWSN, a multi-objective ant colony optimisation routing framework for WSNs, is proposed that allows to use MOACO algorithms for the routing in WSNs. Due to its modulised structure different MOACO algorithms can be simply docked using the provided interface. Additionally, to mitigate insider attacks, trust is considered as one of the objectives in the route optimisation process.

Online publication date: Sat, 08-Nov-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com