By Topic

Self-optimized autonomous routing protocol for wireless sensor networks with cross layer architecture

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

6 Author(s)
Saleem, K. ; Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia ; Fisal, N. ; Hafizah, S. ; Kamilah, S.
more authors

Presently, the field of wireless sensor networks (WSNs) is an important and challenging research area. Advancements in sensor networks enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop routing in WSN is affected by new nodes constantly entering or leaving the network. Therefore, nature based self-optimized and independent mechanism is required to tackle problems arise in WSN. The ant inspired routing has shown an excellent performance for WSNs. In this paper, the model of self-optimized autonomous routing algorithm BIOSARP with cross layer architecture for WSN and its results are presented. Certain parameters like energy level, delay and velocity are considered while making decisions. Energy level and velocity metrics are trade in from physical layer to network layer while discovering an optimal route and also in initialization process. These robust decisions will come up with the optimized route for WSN.

Published in:

Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on  (Volume:2 )

Date of Conference:

4-6 Oct. 2009