Channel aware sensor selection in distributed detection systems

Ahmadi, H.; Vosoughi, Azadeh

doi:10.1109/spawc.2009.5161749

Cited by 26 publications

(16 citation statements)

References 9 publications

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“…Transmissions between the CRs and the FC are carried out in two phases. In the first transmission phase, each CR sends one training symbol to enable the FC to estimate all N fading channels' coefficients [14].…”

Section: System Modelmentioning

confidence: 99%

“…The fading coefficient of a Rchannel is assumed to be fixed over decision symbol transmission time as the channel is assumed to be slow faded. The signal at the FC received from k-th selected CR is [14]- [15]: …”

Section: System Modelmentioning

confidence: 99%

“…Therefore censoring of cognitive radios is necessary for improving the performance of the cooperative spectrum sensing. Censoring of sensors, as proposed in [12]- [13] and channel aware censoring of sensors, as discussed in [14] can be well applied in the context of energy detection based cooperative spectrum sensing. More precisely, the goal of censoring is to decide which CRs should transmit their observations to the FC to achieve the best tradeoff between energy efficiency and detection probability.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cooperative spectrum sensing with censoring of cognitive radios and improved energy detector under majority logic fusion

Nallagonda

Sudheer

Roy

et al. 2012

2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012)

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In this paper, performance of cooperative spectrum sensing (CSS) has been assessed in the presence of Rayleigh fading. Cognitive radio (CR) users which employ improved energy detectors (IEDs) are censored depending on the quality of radio channels between them and a fusion center (FC). A training based channel estimator is used at the FC to estimate the fading coefficients characterizing the channels between the CRs and the FC. The CRs utilize selection combining (SC) of the decision statistics obtained by IEDs with multiple antennas for making hard decisions about the presence of primary user (PU) and transmit the information to the FC using BPSK signaling if the CR is selected to transmit. The majority logic fusion is applied at the FC for estimating the performance in terms of missed detection and total error probability for both perfect and imperfect channel estimation under different channel and network parameter conditions

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Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cooperative spectrum sensing with censoring of cognitive radios and improved energy detector under majority logic fusion

Nallagonda

Sudheer

Roy

et al. 2012

2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012)

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“…Rank-based censoring scheme, the CR users which are having highest amplitude of estimated fading coefficient are selected. The performance analysis of censoring scheme is used in different applications, specifically the authors in [7]- [8] proposed censoring of sensors in sensor network application; whereas censoring in CSS is discussed in [9]. The main aim of using censoring scheme in CSS is to improve detection probability as discussed in [7].…”

Section: Introductionmentioning

confidence: 99%

Rank based censoring of cognitive radios with cooperative spectrum sensing under hoyt fading channel

Ranjeeth

Anuradha

2015

2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)

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Performance of cooperative spectrum sensing with hard decision fusion technique (majority logic) has been evaluated under Hoyt fading environment with the application of censoring scheme. In this paper we have considered Hoyt fading in both reporting channel (R-channel) and sensing channel (S-channel). In a cooperative spectrum sensing (CSS) scheme, the detection primary user (PU) activity is improved by eliminating the heavily faded cognitive radio (CR) users. CRs which are heavily faded those are eliminated by using censoring scheme in the R-channel. Rank based censoring scheme is used to censors the CRs in the presence of Hoyt fading in both perfect and imperfect channels. A hard decision based fusion technique called majority logic rule is considered at the fusion center (FC) to evaluate the performance using missed detection probability and total error probability ( ). This has been performed in both perfect and imperfect channels by varying the network parameters like: probabilities of false alarm ( ), R-channel SNR, S-channel SNR and Hoyt fading parameter (q).

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“…In [5], a robust linear dimensionality reduction is developed for the binary Gaussian hypothesis testing. The sensor selection method is investigated in [6] to achieve the best tradeoff between detection performance and communication cost.…”

mentioning

confidence: 99%

Likelihood ratio based communication for distributed detection

Ding

You

Song

et al. 2014

11th IEEE International Conference on Control &Amp; Automation (ICCA)

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This paper is concerned with a detection framework under scheduled communication for a binary hypothesis testing problem. A scheduler is designed to smartly select useful sensor measurements for transmission and leave non-useful ones, which results in that only a subset of measurements is sent to the testing agency. To this purpose, a likelihood ratio based scheduler is implemented to decide the transmission of measurements from sensor to the tester. For comparison, a random scheduler which randomly selects measurements for transmission is also included. The Neyman-Pearson tests under the above two schedulers is provided. Given a moderate communication cost constraint, it is shown that the likelihood ratio based scheduler achieves a comparable asymptotic testing performance to the optimal test using the full set of measurements, and is strictly better than the random scheduler. The theoretical results are verified by simulations.

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Channel aware sensor selection in distributed detection systems

Cited by 26 publications

References 9 publications

Cooperative spectrum sensing with censoring of cognitive radios and improved energy detector under majority logic fusion

Cooperative spectrum sensing with censoring of cognitive radios and improved energy detector under majority logic fusion

Rank based censoring of cognitive radios with cooperative spectrum sensing under hoyt fading channel

Likelihood ratio based communication for distributed detection

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