Malicious node detection through run time self-healing algorithm in WSN
by B.R. Tapas Bapu; L.C. Siddanna Gowd
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 12, No. 1/2, 2019

Abstract: Wireless sensor network possess a large number of randomly deployed nodes. These nodes configure themselves to form a network. WSNs' major role is to monitor the environment, collect the data and communicate the data to the base node. The originality of the data communicated by the WSN nodes is an important criterion to avoid failure in the network. So, self-healing techniques are implemented to overcome the losses of data in routing due to misbehaving nodes. However, major protocols designed for self-healing are not energy constrained and not suitable for battery powered network. In this paper, we propose a new run-time self-healing algorithm which possesses individual monitoring node capable of scanning the data and evaluate the stability of the nodes to ensure proper communication in the network. The proposed method is compared with self-healing hybrid sensor network architecture (SASHA) and error correction code (ECC) algorithm to validate the proposed system efficiency. The simulation results show that the proposed algorithm improves efficiency by 86%.

Online publication date: Fri, 14-Dec-2018

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 Advanced Intelligence Paradigms (IJAIP):
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