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Artykuły w czasopismach na temat „Cooperative bait detection scheme”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Olushola O, Akinlemi, and K. Suresh Babu. "Cooperative Bait Detection Scheme (CBDS) To Avoid the Collaborative Attacks of Nodes in MANET." International Journal of Scientific Engineering and Research 3, no. 4 (2015): 66–69. https://doi.org/10.70729/j2013475.

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R. Saranya,, and Dr R. S. Rajesh. "Detection of Black Hole Attack in DSR Routing Protocol by modified cooperative bait detection scheme." International Journal of Research in Advent Technology 7, no. 1 (2019): 475–83. http://dx.doi.org/10.32622/ijrat.71201999.

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Khalaf, Osamah Ibrahim, F. Ajesh, Abdulsattar Abdullah Hamad, Gia Nhu Nguyen, and Dac-Nhuong Le. "Efficient Dual-Cooperative Bait Detection Scheme for Collaborative Attackers on Mobile Ad-Hoc Networks." IEEE Access 8 (2020): 227962–69. http://dx.doi.org/10.1109/access.2020.3045004.

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SULTANA, FARHEEN, and RAKSHANDA KAUKAB. "An Acknowledgement Based Advance for the Recognition of Routing Misconduct in MANETS." International Journal of Scientific Engineering and Technology Research 06, no. 06 (2017): 1178–84. https://doi.org/10.5281/zenodo.802406.

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With the advent of mobile technology, the wireless communication is becoming more popular than ever before. This is due to technological advances in wireless data communication devices. A primary requirement for the establishment of communication between two devices is that intermediate nodes should cooperate with each other. Presence of malevolent nodes may lead to serious security concerns. Preventing and detecting malicious nodes and attacks is a challenge. This Paper attempts to resolve this issue by designing a Cooperative Bait Detection Scheme (CBDS) that has advantages of both proactive

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5

M, V. Narayana, Narsimha Dr.G, and SSVN Sarma Prof. "IMPLEMENTATION OF MANET CONTROL PACKET DROP USING BAIT DETECTION APPROACH." International Journal of Engineering Sciences & Research Technology 5, no. 3 (2016): 147–55. https://doi.org/10.5281/zenodo.47008.

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The conception following this development is the communication between nodes with the purpose of nodes cooperating with a piece of other. The expansion of mean nodes can direct to severe security concern; such nodes may interrupt the routing process. In this environment to prevent or detect malicious nodes, an instigation of greenhole or collaborative blackhole attack must be a dispute. This issue attempt to declaration by designing a Dynamic Routing (DR)-based routing technique, which is referred to as the helpful Bait Detection System (BDS) which integrate the compensation of both proactive

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6

Chen, Li Na, and Chun Yu Miao. "Spectrum Detection for Cognitive Radio Based on Auto-Adaptive Threshold." Advanced Materials Research 187 (February 2011): 614–20. http://dx.doi.org/10.4028/www.scientific.net/amr.187.614.

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This paper proposed a cooperative spectrum sensing scheme based on auto-adaptive threshold in multi-user cognitive radio network, which can improve detection performance of cognitive user. According to closed-form expressions of detection probability, we compared the noncooperative scheme with the multi-user cooperative scheme, and compared the auto-adaptive threshold with fixed threshold in terms of detection probability through imitation. Result shown that the detection probability of multi-user cooperative detection is improved greatly compared to traditional noncooperative detection, and a

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7

K., Sahana. "An Energy Efficient and Secure Cooperative Bait Detection and Defense Approach in MANET’s." International Journal of Computer Applications 172, no. 1 (2017): 41–45. http://dx.doi.org/10.5120/ijca2017915062.

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8

Wu, Wei, Xiao Fei Zhang, and Xiao Ming Chen. "A SSDF-Attack-Exclusion Cooperative Spectrum Sensing Scheme in Cognitive Radio Networks." Applied Mechanics and Materials 556-562 (May 2014): 5219–22. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5219.

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Compared with the single user spectrum sensing, cooperative spectrum sensing is a promising way to improve the detection precision. However, cooperative spectrum sensing is vulnerable to a variety of attacks, such as the spectrum sensing data falsification attack (SSDF attack). In this paper, we propose a concise cooperative spectrum sensing scheme based on a reliability threshold. We analyze the utility function of SSDF attacker in this scheme, and present the least reliability threshold for the fusion center against SSDF attack. Simulation results show that compared with the traditional coop

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9

Jian-Ming Chang, Po-Chun Tsou, Isaac Woungang, Han-Chieh Chao, and Chin-Feng Lai. "Defending Against Collaborative Attacks by Malicious Nodes in MANETs: A Cooperative Bait Detection Approach." IEEE Systems Journal 9, no. 1 (2015): 65–75. http://dx.doi.org/10.1109/jsyst.2013.2296197.

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10

M, Mohan. "A Survey on Secure Cooperative Bait Detection Approach for Detecting Malicious Nodes in MANETs." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 3 (2015): 1066–69. http://dx.doi.org/10.17762/ijritcc2321-8169.150337.

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11

Elazreg, A. M., and J. A. Chambers. "Sub-optimum detection scheme for asynchronous cooperative relay networks." IET Communications 5, no. 15 (2011): 2250–55. http://dx.doi.org/10.1049/iet-com.2010.0291.

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12

Li, Zhengyi, Lin Liu, and Chi Zhou. "Fast Detection Method in Cooperative Cognitive Radio Networks." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–8. http://dx.doi.org/10.1155/2010/160462.

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Cognitive Radio (CR) technology improves the utilization of spectrum highly via opportunistic spectrum sharing, which requests fast detection as the spectrum utilization is dynamic. Taking into consideration the characteristic of wireless channels, we propose a fast detection scheme for a cooperative cognitive radio network, which consists of multiple CRs and a central control office. Specifically, each CR makes individual detection decision using the sequential probability ratio test combined with Neyman Pearson detection with respect to a specific observation window length. The proposed meth

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13

Zhang, Ying Hui, Zhi Min Zeng, and Tian Kui Zhang. "Multiuser Detection with Delay Feedback Scheme for Asynchronous Cooperative Networks." Advanced Materials Research 905 (April 2014): 611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.905.611.

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The transmission antennas in cooperative systems are spatially distributed on multiple nodes, so the received signal can be asynchronous due to the propagation delays. In this paper, we propose a novel feedback mechanism for cooperative relay networks to improve the performance by increasing the forwarding delay. In contrast to a previous work by the authors, where the performance is poor for small delay, the proposed feedback scheme in amore attractive scenario where the destination can deal with any delay with the better performance. Simulation results illustrate the performance of the propo

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14

Brown, Peter M., Gordon Turnbull, Sheonaidh Charman, Andrew J. A. Charlton, and Ainsley Jones. "Analytical Methods Used in the United Kingdom Wildlife Incident Investigation Scheme for the Detection of Animal Poisoning by Pesticides." Journal of AOAC INTERNATIONAL 88, no. 1 (2005): 204–20. http://dx.doi.org/10.1093/jaoac/88.1.204.

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Abstract The United Kingdom Wildlife Incident Investigation Scheme (WIIS) investigates cases of suspected poisoning of wildlife, honey bees, and companion animals by pesticides. Together with field inquiries and veterinary post-mortem examinations, the analytical procedures presented here provide a comprehensive approach to the investigation of these cases. The paper covers selection of animal tissues for analysis and methods suitable for the analysis of honey bees and for various types of bait. Seven multiresidue methods cover around 130 pesticides, and methods are also described for a furthe

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15

Liu, Jian, Ruilin Xiao, Hao Zhang, and Zhizhong Zhang. "A reliable cooperative spectrum detection scheme in cognitive radio networks." Wireless Networks 23, no. 3 (2016): 651–61. http://dx.doi.org/10.1007/s11276-015-1185-8.

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16

PENG, Shengliang, Xi YANG, Shuli SHU, Pengcheng ZHU, and Xiuying CAO. "Adaptive Sequential Cooperative Energy Detection Scheme for Primary User Detection in Cognitive Radio." IEICE Transactions on Communications E94-B, no. 10 (2011): 2896–99. http://dx.doi.org/10.1587/transcom.e94.b.2896.

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17

Wu, Zeke, Kefeng Guo, and Shibing Zhu. "Covert Communication for Integrated Satellite–Terrestrial Relay Networks with Cooperative Jamming." Electronics 12, no. 4 (2023): 999. http://dx.doi.org/10.3390/electronics12040999.

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We explore the influence of cooperative jamming on covert communication for integrated satellite–terrestrial relay networks (ISTRN) in this article, where one full-duplex relay is utilized to support communications and acts as a jammer to confuse eavesdroppers. A cooperative scheme is first proposed to efficiently achieve covert communication in this specific scenario. Further, the probability of detection error (PDE) is derived. Subsequently, the minimum PDE is calculated using the optimal detection threshold. Moreover, a closed-form expression of outage probability (OP) is acquired to quanti

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18

Jhaveri, Rutvij H., Aneri Desai, Ankit Patel, and Yubin Zhong. "A Sequence Number Prediction Based Bait Detection Scheme to Mitigate Sequence Number Attacks in MANETs." Security and Communication Networks 2018 (November 15, 2018): 1–13. http://dx.doi.org/10.1155/2018/3210207.

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The characteristics of MANET such as decentralized architecture, dynamic topologies make MANETs susceptible to various security attacks. Sequence number attacks are such type of security threats which tend to degrade the network functioning and performance by sending fabricated route reply packets (RREP) with the objective of getting involved in the route and drop some or all of the data packets during the data transmission phase. The sequence number adversary attempts to send a fabricated high destination number in the RREP packet which attracts the sender to establish a path through the adve

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19

Adebo, S. A., E. N. Onwuka, A. U. Usman, and A. J. Onumanyi. "Cooperative-hybrid detection of primary user emulators in cognitive radio networks." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 3116. http://dx.doi.org/10.11591/ijece.v10i3.pp3116-3124.

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Primary user emulator (PUE) attack occurs in Cognitive Radio Networks (CRNs) when a malicious secondary user (SU) poses as a primary user (PU) in order to deprive other legitimate SUs the right to free spectral access for opportunistic communication. In most cases, these legitimate SUs are unable to effectively detect PUEs because the quality of the signals received from a PUE may be severely attenuated by channel fading and/or shadowing. Consequently, in this paper, we have investigated the use of cooperative spectrum sensing (CSS) to improve PUE detection based on a hybrid localization schem

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20

S., A. Adebo, N. Onwuka E., U. Usman A., and J. Onumanyi A. "Cooperative-hybrid detection of primary user emulators in cognitive radio networks." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 3116–24. https://doi.org/10.11591/ijece.v10i3.pp3116-3124.

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Primary user emulator (PUE) attack occurs in Cognitive Radio Networks (CRNs) when a malicious secondary user (SU) poses as a primary user (PU) in order to deprive other legitimate SUs the right to free spectral access for opportunistic communication. In most cases, these legitimate SUs are unable to effectively detect PUEs because the quality of the signals received from a PUE may be severely attenuated by channel fading and/or shadowing. Consequently, in this paper, we have investigated the use of cooperative spectrum sensing (CSS) to improve PUE detection based on a hybrid localization schem

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21

Feng, Yuqing, Wenjun Xu, Zhi Zhang, and Fengyu Wang. "Continuous Hidden Markov Model Based Spectrum Sensing with Estimated SNR for Cognitive UAV Networks." Sensors 22, no. 7 (2022): 2620. http://dx.doi.org/10.3390/s22072620.

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In this paper, to enhance the spectrum utilization in cognitive unmanned aerial vehicle networks (CUAVNs), we propose a cooperative spectrum sensing scheme based on a continuous hidden Markov model (CHMM) with a novel signal-to-noise ratio (SNR) estimation method. First, to exploit the Markov property in the spectrum state, we model the spectrum states and the corresponding fusion values as a hidden Markov model. A spectrum prediction is obtained by combining the parameters of CHMM and a preliminary sensing result (obtained from a clustered heterogeneous two-stage-fusion scheme), and this pred

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22

Barkat, Enfel. "Throughput Analysis for Cooperative Cognitive Radio Networks using Cyclostationary Detection." WSEAS TRANSACTIONS ON COMMUNICATIONS 19 (January 13, 2021): 240–48. http://dx.doi.org/10.37394/23204.2020.19.28.

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Detection of primary users (PUs) in the presence of interference and noise and improvement of spectrum utilization is one of the aims of cognitive radio (CR). In this paper, a fully distributed cooperative spectrum sensing scheme based on cyclostationary features techniques is proposed. The primary signal detection is realized by an orthogonal frequency division multiplexing (OFDM) sensing algorithm; each secondary user (SU) makes decisions about the PU by exchanging their own measurements with the local neighbors. The distributed scheme is analyzed on a network layer, where the throughput per

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23

D., Damodaram. "MIMO Based Cooperative Communication and Joint Maximum-Likelihood Detection for Cognitive Radio System." International Journal of Recent Technology and Engineering 10, no. 1 (2021): 39–43. http://dx.doi.org/10.35940/ijrte.a5720.0510121.

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In this work, novel cooperative communication strategies like Decode and Forward based relay schemes, joint maximum likelihood signal detection in combinational Multiple Input Multiple Output (MIMO) cooperative relay cognitive networks are used. The joint cooperative signal detection using Maximum-Likelihood (ML) detector at each relays, and associated path links improves the quality of services at the destination node, which can be dynamically altered using different relay combinations and associated iterative computational complexity accumulated during ML detection. Here the relay performs M

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24

D., Damodaram. "MIMO Based Cooperative Communication and Joint Maximum-Likelihood Detection for Cognitive Radio System." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 1 (2021): 39–43. https://doi.org/10.35940/ijrte.A5720.0510121.

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In this work, novel cooperative communication strategies like Decode and Forward based relay schemes, joint maximum likelihood signal detection in combinational Multiple Input Multiple Output (MIMO) cooperative relay cognitive networks are used. The joint cooperative signal detection using Maximum-Likelihood (ML) detector at each relays, and associated path links improves the quality of services at the destination node, which can be dynamically altered using different relay combinations and associated iterative computational complexity accumulated during ML detection. Here the relay performs M

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25

Li, Xue, Zhikang Fan, Shengfeng Wang, Aibing Qiu, and Jingfeng Mao. "A Distributed Fault Diagnosis and Cooperative Fault-Tolerant Control Design Framework for Distributed Interconnected Systems." Sensors 22, no. 7 (2022): 2480. http://dx.doi.org/10.3390/s22072480.

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This paper investigates a design framework for a class of distributed interconnected systems, where a fault diagnosis scheme and a cooperative fault-tolerant control scheme are included. First of all, fault detection observers are designed for the interconnected subsystems, and the detection results will be spread to all subsystems in the form of a broadcast. Then, to locate the faulty subsystem accurately, fault isolation observers are further designed for the alarming subsystems in turn with the aid of an adaptive fault estimation technique. Based on this, the fault estimation information is

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26

Hossain, Md Shamim, Md Ibrahim Abdullah, and Mohammad Alamgir Hossain. "One-Bit Hard Combination Decision Scheme for Cooperative Spectrum Sensing in Cognitive Radio." International Journal of Informatics and Communication Technology (IJ-ICT) 4, no. 2 (2015): 66. http://dx.doi.org/10.11591/ijict.v4i2.pp66-73.

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<p>In this paper, the performance of 1-bit hard combination decision scheme for cooperative spectrum sensing in Cognitive Radio has been studied to maximize the probability of primary user detection. Energy detector model is used to observe the presence of primary user signal. Simulation result shows that the probability of missed detection is decreasing for both conventional and 1-bit hard combination OR rule with increasing the probability of false alarm correspondingly. It also has demonstrated that 1-bit hard combination decision scheme exhibits comparable performance with the conven

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27

Mustafa, Hisham, Yan Xiong, and Khalid Elaalim. "Distributed and Cooperative Anomaly Detection Scheme for Mobile Ad Hoc Networks." Journal of Computer and Communications 02, no. 03 (2014): 1–10. http://dx.doi.org/10.4236/jcc.2014.23001.

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28

Semba Yawada, Prince, and Mai Trung Dong. "Performance Analysis of New Spectrum Sensing Scheme Using Multiantennas with Multiuser Diversity in Cognitive Radio Networks." Wireless Communications and Mobile Computing 2018 (September 3, 2018): 1–13. http://dx.doi.org/10.1155/2018/8560278.

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The spectrum detection (SD) is a critical step in cognitive radio (CR) to identify the available spectrum and avoid interference and harm to primary users (PUs). Nonetheless, the practical detection process is often compromised with problems of receptors uncertainty, shadows, and multipath fading. To overcome these problems, a cooperative SD scheme is proposed by exploiting the system multiantenna (MUA) with the multiuser diversity (MUD). The SD gives unlicensed secondary users (SUs) the opportunity to use the licensed spectral band until the PU makes its appearance. By allowing the cooperatio

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29

Kim, Tae-Kyoung. "Cooperative DF Protocol for MIMO Systems Using One-Bit ADCs." Sensors 22, no. 20 (2022): 7843. http://dx.doi.org/10.3390/s22207843.

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This study considers a detection scheme for cooperative multi-input–multi-output (MIMO) systems using one-bit analog-to-digital converters (ADCs) in a decode-and-forward (DF) relay protocol. The use of one-bit ADCs is a promising technique for reducing the power consumption, which is necessary for supporting future wireless systems comprising a large number of antennas. However, the use of a large number of antennas remains still limited to mobile devices owing to their size. Cooperative communication using a DF relay can resolve this limitation; however, detection errors at the relay make it

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., Bharath k. "A COOPERATIVE BAIT DETECTION APPROACH USING POWER EFFICIENT DYNAMIC SOURCE ROUTING FOR DETECTING MALICIOUS NODES IN MANETS." International Journal of Research in Engineering and Technology 05, no. 16 (2016): 44–47. http://dx.doi.org/10.15623/ijret.2016.0516010.

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Liu, Hui Heng, and Wei Chen. "A Novel Weighted-Cooperative Spectrum Sensing Scheme Using Clustering." Applied Mechanics and Materials 195-196 (August 2012): 277–82. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.277.

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This paper proposes a novel weighted-cooperative spectrum sensing scheme using clustering for cognitive radio system. We firstly classify the secondary users into a few clusters according to several existent methods, and then use cluster-head to collect the observation results come from different secondary users in the same cluster and make a cluster-decision. Considering the different distances between the clusters and the fusion center, different weightings are used to weight the cluster-decisions before combining. The simulation results show that our proposed method improve the probability

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32

Yao, Changhua, and Qihui Wu. "A Hybrid Combination Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/106106.

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We propose a novel hybrid combination scheme in cooperative spectrum sensing (CSS), which utilizes the diversity of reporting channels to achieve better throughput performance. Secondary users (SUs) with good reporting channel quality transmit quantized local observation statistics to fusion center (FC), while others report their local decisions. FC makes the final decision by carrying out hybrid combination. We derive the closed-form expressions of throughput and detection performance as a function of the number of SUs which report local observation statistics. The simulation and numerical re

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33

Jia, Wenhao, and Jinzhi Wang. "Observer-Based Distributed Fault Detection for Heterogeneous Multi-Agent Systems." Applied Sciences 10, no. 21 (2020): 7466. http://dx.doi.org/10.3390/app10217466.

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This paper solves the distributed fault detection (FD) problem for heterogeneous multi-agent systems (MAS). For a heterogeneous MAS, we adopt a distributed control law to realise cooperative output regulation (COR) when no fault occurs in the MAS, and propose a state-feedback-based FD scheme, where the adopted distributed control law and proposed FD scheme all utilise state information. Furthermore, we consider the condition that state information is unmeasurable, the output-feedback-based distributed FD scheme is proposed, and the adopted distributed control law also utilises measurement outp

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34

Bouzegag, Younes, Djamal Teguig, and Abdelmadjid Maali. "An Enhanced SLC Scheme for Cooperative Spectrum Sensing System in Cognitive Radio." International Journal of Circuits, Systems and Signal Processing 17 (March 13, 2023): 153–62. http://dx.doi.org/10.46300/9106.2023.17.18.

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The hidden-nodes and noise uncertainty have a negative impact on the spectrum sensing results in cognitive radio. Accordingly, cooperative spectrum sensing is proposed to effectively increase detection reliability by dealing with different soft and hard patterns in the fusion center. In the present work, we analyzed various soft and hard fusion rules. Improved Square Law Combining (SLC) rules are proposed to provide better detection performance than the conventional scheme. To validate the introduced rule, MATLAB simulations were conducted revealing the out-performance of the proposed schemes

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Feng, Yong Xiu, Ai Qin Bao, and Deng Yin Zhang. "Distributed Cooperative Spectrum Sensing Algorithm Based on Average Consensus." Applied Mechanics and Materials 713-715 (January 2015): 1090–93. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1090.

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The existing distributed spectrum sensing algorithms usually assume that the information in interaction channel is totally correct and did not consider noise effect. To solve these problems, a new distributed cooperative spectrum sensing scheme based on average consensus is investigated in this paper. Based on minimum mean square deviation criterion, we design an iterative matrix suitable for consensus algorithm with considering the noise of interaction channel. Simulation results show that the proposed method achieves better detection performance under noise effect of interaction channel and

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36

Jhaveri, Rutvij H., and Narendra M. Patel. "A sequence number based bait detection scheme to thwart grayhole attack in mobile ad hoc networks." Wireless Networks 21, no. 8 (2015): 2781–98. http://dx.doi.org/10.1007/s11276-015-0945-9.

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Du, Hong, Zai Xue Wei, Yu Wang, and Da Cheng Yang. "Detection Reliability and Throughput Analysis for Cooperative Spectrum Sensing in Cognitive Radio Networks." Advanced Materials Research 457-458 (January 2012): 668–74. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.668.

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In cognitive radio networks (CRNs), cooperative spectrum sensing technology could overcome the impact from shadow fading and noise uncertainty; however, cognitive radio users with different signal-to-noise ratios (SNRs) would cause the unreliable detection performance when making a decision in the information fusion center. Therefore, a novel cooperative spectrum sensing scheme which focus on the reliability of cognitive radio users is presented. The proposed approach does not select all of the cognitive radio users but the ones whose SNR is beyond the average SNR of the whole users for high r

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Yu, Guicai, Han Wang, and Wencai Du. "Cooperative Spectrum Sensing Algorithm to Overcome Noise Fluctuations Based on Energy Detection in Sensing Systems." Wireless Communications and Mobile Computing 2021 (March 31, 2021): 1–8. http://dx.doi.org/10.1155/2021/5516540.

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In sensing systems, nodes must be able to rapidly detect whether a signal from a primary transmitter is present in a certain spectrum. However, traditional energy-detection algorithms are poorly adapted to treating noisy signals. In this paper, we investigate how rapid energy detection and detection sensitivity are related to detection duration and average power fluctuation in noise. The results indicate that detection performance and detection sensitivity decrease quickly with increasing average power fluctuation in noise and are worse in situations with low signal-to-noise ratio. First, we p

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Loganathan, Jayakumar, S. Janakiraman, and Ankur Dumka. "Optimal Spectrum-Hole Detection Scheme for Cooperative CRN Using Dynamic Weighted VIKOR." International Journal of Enterprise Information Systems 16, no. 1 (2020): 108–31. http://dx.doi.org/10.4018/ijeis.2020010106.

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In the future, the wireless network environment may suffer due to the unavailability of new spectrum bands. Cognitive radio research considers the current spectrum underutilization and provides a better model for the next-generation wireless environment. Since the implementation of the cognitive radio and its policies is a bigger challenge under static spectrum allocation, i.e., current wireless networks policy, many issues are in front of us to accomplish a better cognitive radio wireless environment. One of the major challenges is a secure transmission and efficient free channel selection. I

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Xu, Lei. "A Distributed High-rate and Low-detection Complexity Cooperative Relay Transmission Scheme." Journal of Information and Computational Science 11, no. 18 (2014): 6591–99. http://dx.doi.org/10.12733/jics20105062.

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Xia, Zhuoqun, Jingjing Tan, Ke Gu, and WeiJia Jia. "Detection resource allocation scheme for two-layer cooperative IDSs in smart grids." Journal of Parallel and Distributed Computing 147 (January 2021): 236–47. http://dx.doi.org/10.1016/j.jpdc.2020.09.011.

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Jin, Yong, Zhenjiang Qian, Xiaoshuang Xing, and Lu Shen. "Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring." International Journal of Online Engineering (iJOE) 13, no. 08 (2017): 4. http://dx.doi.org/10.3991/ijoe.v13i08.6709.

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ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can

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Lv, Shou Tao, Ze Yang Dai, and Jian Liu. "A Reliable Cooperative Spectrum Sensing Strategy for Cognitive Radios." Applied Mechanics and Materials 347-350 (August 2013): 1773–79. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1773.

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In cognitive radio networks (CRNs), the secondary users (SUs) need to continuously detect whether the primary users (PUs) occupy the spectrum. In order to improve the spectrum sensing accuracy, a novel reliable cooperative spectrum sensing strategy based on the detection results relayed twice from the secondary relays (SRs) to the secondary source (SS), referred to as CSS-DRT, is proposed in this paper. In this scheme, the spectrum sensing slot is divided into four equal sub-slots. In the first and third sub-slots, the SS and SRs detect the PU by themselves. Then, in the second sub-slot, if th

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Mi, Yin, Guangyue Lu, Yuxin Li, and Zhiqiang Bao. "A Novel Semi-Soft Decision Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks." Sensors 19, no. 11 (2019): 2522. http://dx.doi.org/10.3390/s19112522.

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Spectrum sensing (SS) is an essential part of cognitive radio (CR) technology, and cooperative spectrum sensing (CSS) could efficiently improve the detection performance in environments with fading and shadowing effects, solving hidden terminal problems. Hard and Soft decision detection are usually employed at the fusion center (FC) to detect the presence or absence of the primary user (PU). However, soft decision detection achieves better sensing performance than hard decision detection at the expense of the local transmission band. In this paper, we propose a tradeoff scheme between the sens

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Liu, Yangyang, Baowang Lian, Lin Zhang, and Taoyun Zhou. "Gaussian Message Passing-Based Cooperative Localisation with Bootstrap Percolation Scheme in Dense Networks." Journal of Navigation 72, no. 5 (2019): 1275–96. http://dx.doi.org/10.1017/s0373463319000171.

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In dense networks, the tremendous computational complexity and communication overhead of cooperative localisation are the two main bottlenecks that limit practical application. In this study, we introduce a bootstrap percolation scheme into Gaussian message passing-based cooperative localisation for precise positioning, aimed at reducing the system overhead. Considering the uncertainty information and geometric distribution of neighbours, an approximate collinear detection criterion is proposed to detect the possible flip ambiguities in cooperative localisation. According to the detection resu

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Al-Doseri, H. F., and M. A. Mangoud. "Performance Analysis of Cooperative Spectrum Sensing under Guaranteed Throughput Constraints for Cognitive Radio Networks." Journal of Computer Networks and Communications 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/9706781.

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One of the main challenges in cognitive radio networks is the ability of secondary users to detect the primary user presence with high probability of detection. In previous research, optimizing cooperative sensing in cognitive radio networks is performed for either a targeted probability of detection or a false alarm. After setting one of the probabilities as an optimization constraint, the other is optimized. In this paper, a guaranteed constant throughput at the secondary users is introduced as a target while optimizing probability of detection for cooperative sensing. Both sensing time valu

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Yang, Kai, Shuguang Liu, Xiuguang Li, and Xu An Wang. "D-S Evidence Theory Based Trust Detection Scheme in Wireless Sensor Networks." International Journal of Technology and Human Interaction 12, no. 2 (2016): 48–59. http://dx.doi.org/10.4018/ijthi.2016040104.

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Wireless sensor networks (WSNs) is a key technology which is deployed under the assumption that participating sensors are cooperative in forwarding each other's packets. However, some nodes may behave selfishly by dropping other's packets or refusing to provide services in an attempt to maximize its throughput with minimum expense. In this paper, the authors present a novel detection scheme based on Dempster-Shafer (D-S) evidence theory in WSN to detect and isolate misbehavior sensors. However, when the scheme is operated, counter-intuitive results may appear. To overcome this problem, this pa

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Zhang, Shi Ding, Hai Lian Wang, and Jing Ping Mei. "Sensing Confidence Level-Based Cooperative Spectrum Sensing Algorithm." Applied Mechanics and Materials 380-384 (August 2013): 1499–504. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1499.

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Cooperative spectrum sensing is a key technology to tackle the challenges such as fading or hidden terminal problem in local spectrum sensing of cognitive radio system. Conventional cooperative method can improve the detection performance in some sense, but increase overhead of control channel. In order to reduce the overhead, a new cooperative spectrum sensing algorithm based on confidence level is proposed. In this algorithm, the maximum-eigenvalue-based detection scheme is carried out to obtain the local spectrum detection and the detection probability and false alarm probability of each se

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Du, Hong, and Yuhan Wang. "A Double-Threshold Cooperative Spectrum Sensing Algorithm in the Internet of Vehicles." World Electric Vehicle Journal 15, no. 5 (2024): 195. http://dx.doi.org/10.3390/wevj15050195.

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To address the shortage of wireless spectrum resources caused by the rapid development of the Internet of Vehicles, spectrum sensing technology in cognitive radio is employed to tackle this issue. In pursuit of superior outcomes, a double-threshold cooperative spectrum sensing algorithm is introduced. This algorithm enhances traditional energy detection technology to mitigate the high sensitivity to noise interference in the Internet of Vehicles environment. A double-threshold judgment mechanism can be established based on the uncertainty of noise. Varying fusion rules are implemented in the c

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Yavanika, N., S. Vasikaran, and J. Balavishnu. "Optimizing Spectrum Sensing using Average Slope Detection and Machine Learning Techniques." International Journal of Microsystems and IoT 3, no. 1 (2025): 1473–79. https://doi.org/10.5281/zenodo.15463178.

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The cognitive radio network represents a pivotal advancement for 5G applications, countering the limitations posed by spectrum scarcity. Spectrum sensing is vital for identifying vacant spectrum bands in a network framework that comprises of Primary User (PU) and Secondary Users (SU’s). The traditional spectrum sensing scheme like Energy detection is highly sensitive to uncertainties in noise with limited sensing accuracy. To overcome this limitation a novel method, Average Slope Detection (ASD) with Cooperative Spectrum Sensing is proposed. The Cooperative Spectrum Sensing network is si

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