EESS: An Energy‐Efficient Spectrum Sensing Method by Optimizing Spectrum Sensing Node in Cognitive Radio Sensor Networks

Abstract

In cognitive radio sensor networks (CRSNs), the sensor devices which are enabled to perform dynamic spectrum access have to frequently sense the licensed channel to find idle channels. The behavior of spectrum sensing will consume a lot of battery power of sensor devices and reduce the network lifetime. In this paper, we aim to answer the question of how many spectrum sensing nodes (SSNs) are required. In order to achieve this, SSN ratio effects on the accuracy of spectrum sensing from the perspective of network energy efficiency are analyzed first. Based on these analyses, the optimal SSN ratio is derived for maximizing the network lifetime by optimizing the cooperative detection probability (CDP). Simulation results show that the optimal SSN ratio can guarantee the spectrum sensing performance in terms of detection and false alarm probabilities and effectively extend the network lifetime.

Research on comprehensive energy metering acquisition and monitoring based on feature detector

“…It is assumed that the integrated energy acquisition and monitoring system consists of a network of primary and secondary users. Since the secondary user network has no fixed energy supply, it needs to supply energy from comprehensive energy sources, so as to realize spectrum sensing and data transmission [8].The master user network model is set to the way timeslot work, with the length of each timeslot represented ℛ，Defined 𝒴 𝓍 ∈ 0.1 as two states of the spectrum in time slots 𝓍，Where, 0 indicates that the spectrum is idle and 1 indicates that the spectrum is occupied. The two states can be converted to each other.…”

Performance analysis of cooperative spectrum sensing using double dynamic threshold

“…This research work provides, implementation and analysis of cooperative spectrum sensing with double dynamic threshold. It has been observed that the incorporation of double dynamic threshold in cooperative-spectrum sensing progresses the detection of spectrum while preserving the sensing information [17]. Section 1 includes the introduction of the cognitive radio and overview of traditional spectrum sensing techniques, section 2 incorporates materials and methods of double dynamic double threshold, results and analysis have been covered in section 3 followed by conclusion of the paper presented as section 4.…”

Fuzzy based Reliable Cooperative Spectrum Sensing for Smart Grid Environment

“…However, due to the effect of propagation impairments, the Signal to Noise Ratio (SNR) of the received PU signal can be very low and individual SUs may not be able to distinguish between severely attenuated signal and vacant channel. Accurate spectrum sensing is important to mitigate the effect of environments and to guarantee reliable communications [8].…”