Effective sensor positioning to localize target transmitters in a Cognitive Radio Network
Journal Title: EAI Endorsed Transactions on Cognitive Communications - Year 2016, Vol 2, Issue 6
Abstract
A precise positioning of transmitting nodes enhances the performance of Cognitive Radio (CR), by enabling more efficient dynamic allocation of channels and transmit powers for unlicensed users. Most localization techniques rely on random positioning of sensor nodes where, few sensor nodes may have a small separation between adjacent nodes. Closely spaced nodes introduces correlated observations, effecting the performance of Compressive Sensing (CS) algorithm. This paper introduces a novel minimum distance separation aided compressive sensing algorithm (MDACS). The algorithm selectively eliminates Secondary User (SU) power observations from the set of SU receiving terminals such that pairs of the remaining SUs are separated by a minimum geographic distance.We have evaluated the detection of multiple sparse targets locations and error in l2-norm of the recovery vector. The proposed method offers an improvement in detection ratio by 20% while reducing the error in l2-norm by 57%.
Authors and Affiliations
Audri Biswas, Sam Reisenfeld, Mark Hedley, Zhuo Chen
Keywords
Related Articles
- EP ID EP45640
- DOI http://dx.doi.org/10.4108/eai.5-4-2016.151145
- Views 266
- Downloads 0
Spectrum Sensing For Cognitive Radios Through Differential Entropy
In this work, we present a novel Goodness-of-Fit Test driven by differential entropy for spectrum sensing in cognitive radios, under three different noise models – Gaussian, Laplacian and mixture of Gaussians. We analyze...
Miniaturized Implantable DS-PIFA Antenna for Biomedical Applications
This paper presents an implantable miniaturized planar inverted-F antenna (PIFA) for biomedical applications. We propose small sized PIFA that can operate over 2.45 GHz Industrial, Scientific, and Medical (ISM) band. We...
Power Minimization through Packet Retention in Cognitive Radio Sensor Networks under Interference and Delay Constraints: An Optimal Stopping Approach
The aim of this article is twofold: First, we study the problem of packets retention in a queue with the aim of minimizing transmission power in delay-tolerant applications. The problem is classified as an optimal stoppi...
Switching Brains: Cloud-based Intelligent Resources Management for the Internet of Cognitive Things
Cognitive technologies can bring important benefits to our everyday life, enabling connected devices to do tasks that in the past only humans could do, leading to the Cognitive Internet of Things. Wireless Sensor and Act...
Metallic Plasmonic Nano-antenna for Wireless Optical Communication in Intra-body Nanonetworks
Nanonetworks consist of nano-sized communicating devices which are able to perform simple tasks at the nanoscale. Nanonetworks are the enabling technology for unique applications, including intra-body health-monitoring a...