Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Applying Case-Based Reasoning to Tactical Cognitive Sensor Networks for Dynamic Frequency Allocation

Version 1 : Received: 13 October 2018 / Approved: 15 October 2018 / Online: 15 October 2018 (09:42:58 CEST)

A peer-reviewed article of this Preprint also exists.

Park, J.H.; Lee, W.C.; Choi, J.P.; Choi, J.W.; Um, S.B. Applying Case-Based Reasoning to Tactical Cognitive Sensor Networks for Dynamic Frequency Allocation. Sensors 2018, 18, 4294. Park, J.H.; Lee, W.C.; Choi, J.P.; Choi, J.W.; Um, S.B. Applying Case-Based Reasoning to Tactical Cognitive Sensor Networks for Dynamic Frequency Allocation. Sensors 2018, 18, 4294.

Abstract

This paper proposes a cognitive radio engine platform for making exploitation of available frequency channels usable for a tactical wireless sensor network in presence of incumbent communication devices known as the primary user (PU) required to be protected from undesired harmful interference. In the field of tactical communication networks, it is desperate to find available frequencies for opportunistic and dynamic access to channels in which PU is in active. This paper introduces a cognitive engine plaform for determining available channels on the basis of case-based reasoning technique deployable as core functionality on cognitive radio engine to enable dynamic spectrum access (DSA) with high fidelity. Towards this, this paper introduces a plausible learning engine to characterize channel usage pattern to extract best channel candiates for the tactical cognitive radio node (TCRN). Performance of the proposed cognitive engine is verified by conducting simulation tests which confirm the reliability in functional aspect of the proposed cognitive engine covering the learning engine as well as the case-based reasoning engine with showing how well TCRN can avoid the collision against the PU operation considered as the etiquette secondary user (SU) should have.

Keywords

tactical cognitive radio sensor network; case-based reasoning; cognitive radio engine; channel occupancy probability; military tactical communications

Subject

Engineering, Electrical and Electronic Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.