Summary
International Symposium on Nonlinear Theory and its Applications
2009
Session Number:B4L-D
Session:
Number:B4L-D1
An Efficient Flooding Scheme Using Chaotic Neural Networks in Wireless Sensor Networks
Tomoyuki Sasaki, Hidehiro Nakano, Akihide Utani, Arata Miyauchi, Hisao Yamamoto,
pp.-
Publication Date:2009/10/18
Online ISSN:2188-5079
Summary:
Recently, Wireless Sensor Networks (WSNs) have been studied with a great amount of interests. In WSN, flooding is required for the dissemination of queries and event announcements. The original flooding causes the overlap problems. In the original flooding, each sensor node receiving a broadcast message forwards it to its neighbors, resulting in a lot of collisions and duplicate messages. For dense WSNs, the impact caused by the original flooding may be overwhelming. The original flooding may result in the reduced network lifetime. Therefore, the selection of forwarding nodes for the dissemination of queries and event announcements is needed to prolong the lifetime of WSNs. In this study, we use the Chaotic Neural Networks (CNNs) to selection of forwarding nodes for the dissemination of queries and event announcements. We evaluate the applicability of CNN by computer simulations and discuss its development potential.