By Topic

RL-based routing in biomedical mobile wireless sensor networks using trust and reputation

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)
Naputta, Y. ; Sch. of Telecommun. Eng., Suranaree Univ. of Technol., Nakhon Ratchasima, Thailand ; Usaha, W.

The main function of biomedical sensor network is to guarantee that the data packets from patients can be delivered reliably to the destination node or medical center. Attached to patients, these nodes can be mobile, thus forming a mobile wireless sensor network (mWSN). Moreover, non-cooperative nodes may also be present in the network. This paper therefore proposes a routing method for non-cooperative mWSNs based on Reinforcement Learning (RL). In particular, a reputation and trust scheme to avoid misbehaving nodes was integrated with an existing RL-based routing protocol called RL-QRP. We evaluated its performance in non-cooperative mWSNs under various conditions of non-cooperation and mobility. We found that the proposed method can achieve a success ratio of up to 11% over the RL-QRP, and 25% over a non-learning brute force search threshold method.

Published in:

Wireless Communication Systems (ISWCS), 2012 International Symposium on

Date of Conference:

28-31 Aug. 2012