Energy-efficient cooperative spectrum sensing schemes for cognitive radio networks

  title={Energy-efficient cooperative spectrum sensing schemes for cognitive radio networks},
  author={Nan Zhao and Fei Richard Yu and Hongjian Sun and Arumugam Nallanathan},
  journal={EURASIP Journal on Wireless Communications and Networking},
Rapidly rising energy costs and increasingly rigid environmental standards have led to an emerging trend of addressing “energy efficiency” aspect of wireless communication technologies. Cognitive radio can play an important role in improving energy efficiency in wireless networks, because from the green perspective, spectrum is a natural resource which should not be wasted but be shared. In this article, we propose two energy-efficient and time-saving one-bit cooperative spectrum sensing… 

Optimized Cooperative Spectrum Sensing Schemes for Cognitive Radio Networks

Simulation results shows that discussed strategies can achieve target of minimum energy, less sensing time and superior performance, which is of preeminent priority for a CR scenario compared to non-CR ones.


Simulation results show that the joint optimization of cooperative spectrum sensing achieves better in terms of energy efficiency than other approaches that perform separate optimization.

Performance of Spectrum Sensing over Fading Channels and an Energy Efficient Cooperative Spectrum Sensing Scheme for Cognitive Radio

Cognitive Radio (CR) is a radio communications and networking technology that has recently attracted considerable interest from academia as well as industry worldwide. It follows the design

Analysis of a New Energy-Based Sensor Selection Method for Cooperative Spectrum Sensing in Cognitive Radio Networks

A new energy-based sensor selection algorithm is proposed to provide approximately the same lifetimes for sensors via the appropriate design of CSS and can balance the process of energy consumption among sensors and significantly increase the average number of live sensors before the network lifetime finishes.

Optimum Sensor Selection Based on Energy Constraints in Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks

All the subsets of sensors, which cooperatively satisfy the desired sensing accuracy, are formed and a heuristic algorithm is proposed, which chooses the subset with minimum average energy consumption for CSS, which confirms the advantages of the proposed algorithms in terms of energy-efficient sensor selection for CSS and low complexity compared with the other state of the art methods.

Energy-efficient cooperative sensing for cognitive wireless sensor networks

  • Hany AliA. KhattabM. Fikri
  • Computer Science, Business
    5th International Conference on Energy Aware Computing Systems & Applications
  • 2015
Two energy-efficient cooperation schemes for CRSNs that use randomized channel sensing, implicit cooperation, and simplified aggregation to reduce the energy consumed in channel sensing are presented.

Sensing Optimization in Cooperative Cognitive Radio Networks

Improving Routing Performance Using Cooperative Spectrum Sensing in Cognitive Radio Networks

This paper introduces a novel Cooperative Spectrum Sensing (CSS) strategy, in which SUs along a selected route cooperate with their neighboring SUs to monitor PUs’ activities, and improves routing performance such that it reduces the overall required sensing time along selected routes.



Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks

Simulation results show that the proposed spectrum sensing schemes can considerably improve system performance, and useful principles for the design of distributed wideband spectrum sensing algorithms in cognitive radio networks are established.

Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View

This paper considers the case where the secondary users cooperatively sense a channel using the k -out-of-N fusion rule to determine the presence of the primary user and proposes an iterative algorithm to obtain the optimal values for these two parameters.

Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks

It is shown in this paper that an SNR wall reduction can be achieved by employing cooperation among independent cognitive radio users and a new softened hard combination scheme with two-bit overhead for each user is proposed to achieve a good tradeoff between detection performance and complexity.

Implementation issues in spectrum sensing for cognitive radios

To improve radio sensitivity of the sensing function through processing gain, three digital signal processing techniques are investigated: matched filtering, energy detection and cyclostationary feature detection.

A Distributed Consensus-Based Cooperative Spectrum-Sensing Scheme in Cognitive Radios

A fully distributed and scalable cooperative spectrum-sensing scheme based on recent advances in consensus algorithms that not only has proven sensitivity in detecting the primary user's presence but also has robustness in choosing a desirable decision threshold.

Optimization of Cooperative Spectrum Sensing in Cognitive Radio

This paper investigates two cooperative sensing strategies, i.e., SUs exchange data information locally, and SUs relay information to a central controller, and proposes both coherent and noncoherent sensing, depending on whether SUs are synchronized.

A flexible cooperative spectrum sensing scheme for cognitive radio networks

A three-threshold decision based cooperative spectrum sensing algorithm with two rounds cooperation that after the failure of the first cooperation, cognitive users begin to report the second local decision bit to the fusion center to perform a second cooperation, thus sensing failure is eliminated.

Entropy based spectrum sensing in cognitive radio

An entropy based technique for detection of primary users in cognitive radio networks with unknown noise and interference levels will be discussed and the likelihood ratio test will be used to examine the presence or absence of the primary user.

Cooperative spectrum sensing using quantized soft decision combining

A novel method combining cooperative spectrum sensing with quantized soft decision combining is introduced and shows substantial improvement in the detection probability when sensing information between cooperating nodes is shared using two bits instead of one.

A Fast Two Stage Detector for Spectrum Sensing in Cognitive Radios

This paper proposes an algorithm which can be used to minimize the time taken by a two stage detector for spectrum sensing and shows that the proposed algorithm leads to a large savings in time as compared to an existing two stage detection algorithm.