Performance Analysis of Distributed Decision Fusion Using a Censoring Scheme in Wireless Sensor Networks

Cheng, Victor W.; Wang, Tsang-Yi

doi:10.1109/tvt.2010.2047738

Cited by 28 publications

(13 citation statements)

References 16 publications

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“…2-b for the proposed scheme, clustering approach [4] and the censoring approach [5]. Al the the involved parameters have been optimized to maximize the amount of saved energy.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…According to (5), the node that has first time slot in the broadcasting process will always broadcast with a probability of 1. On the other hand, other nodes will have less broadcasting probability which decreases as the broadcasting time slot is delayed.…”

Section: System Modelmentioning

confidence: 99%

“…Such problems will induce extra energy expenditure, additional overhead and complexity, and longer detection delay. Another approach to limit the data transmitted per node is called censoring [5]. In censoring, each node sends its sensing result only if it does not lie in a specific range.…”

Section: Introductionmentioning

confidence: 99%

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Auction-Based Data Gathering Scheme for Wireless Sensor Networks

et al. 2016

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This paper proposes a novel data gathering scheme for Wireless Sensor Networks (WSN) that limits the energy expenditure, and hence, prolongs network lifetime. Data gathering is modeled as an auction where a node broadcasts its own result only if it is higher than the maximum already-broadcasted result by other nodes. For a WSN of 100 nodes, mathematical and simulation results show that the proposed scheme can save up to 70% of the energy consumption with less than 1% performance loss, compared to the conventional scheme.

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“…2-b for the proposed scheme, clustering approach [4] and the censoring approach [5]. Al the the involved parameters have been optimized to maximize the amount of saved energy.…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

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Auction-Based Data Gathering Scheme for Wireless Sensor Networks

et al. 2016

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“…A prevailing model used for such applications is the orthogonal multi-access channel (MAC) model wherein sensors make local decisions based on their observations and subsequently transmit these decisions in parallel to a fusion center (FC). Numerous researchers have focused on the problem of distributed detection (decision fusion) over orthogonal MACs [10,11,12,13,14,15,16,17,18,19,20,21].…”

Section: Introductionmentioning

confidence: 99%

Noncoherent Decision Fusion over Fading Hybrid MACs in Wireless Sensor Networks

Liu

Wang

Liu

et al. 2019

Sensors

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In this paper, we consider the problem of decision fusion for noncoherent detection in a wireless sensor network. Novel to the current work is the integration of the hybrid multi-access channel (MAC) in the fusion rule design. We assume that sensors transmit their local binary decisions over a hybrid MAC which is a composite of conventional orthogonal and nonorthogonal MACs. Under Rayleigh fading scenario, we present a likelihood ratio (LR)-based fusion rule, which has been shown to be optimal through theoretical analysis and simulation. However, it requires a large amount of computation, which is not easily implemented in resource-constrained sensor networks. Therefore, three sub-optimal alternatives with low-complexity are proposed, namely the weighed energy detector (WED), the deflection-coefficient-maximization (DCM), and the two-step (TS) rules. We show that when the channel signal-to-noise ratio (SNR) is low, the LR-based fusion rule reduces to the WED rule; at high-channel SNR, it is equivalent to the TS rule; and at moderate-channel SNR, it can be approached closely by the DCM rule. Compared with the conventional orthogonal and nonorthogonal MACs, numerical results show that the hybrid MAC with the proposed fusion rules can improve the detection performance when the channel SNR is medium.

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“…The censoring scheme was further discussed in [10][11][12]. A scheme to combine the censoring scheme and the quantization scheme for the distributed detection problem was presented in [13]. Moreover, a scheme to combine the censoring scheme and the quantization scheme was presented for estimation, based on a linear estimation model in [14].…”

Section: Introductionmentioning

confidence: 99%

A Censoring and Quantization Scheme for Energy-Based Target Localization in Wireless Sensor Networks

Luo¹

2012

J Eng Technol

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1.This article presents a censoring and quantization scheme for energy-based target localization in wireless sensor networks (WSNs). This scheme can save energy and communication bandwidth. Moreover, a multi-objective optimization method is used to balance the energy consumption and target localization performance of the energy-based target localization method using this scheme. Results show that the root square mean (RMS) errors provided by the energy-based target localization method using this scheme were close to the Cramer-Rao lower bound (CRLB). Moreover, the Pareto-fronts provided by the multiobjective optimization method can guide practical applications. Figure 1: Sensor fieldfor the energy-based target localization method, which used the quantization and censoring schemes.

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Performance Analysis of Distributed Decision Fusion Using a Censoring Scheme in Wireless Sensor Networks

Cited by 28 publications

References 16 publications

Auction-Based Data Gathering Scheme for Wireless Sensor Networks

Auction-Based Data Gathering Scheme for Wireless Sensor Networks

Noncoherent Decision Fusion over Fading Hybrid MACs in Wireless Sensor Networks

A Censoring and Quantization Scheme for Energy-Based Target Localization in Wireless Sensor Networks

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