Turbo codes for multi-hop wireless sensor networks with decode-and-forward mechanism

Abughalieh, Nashat; Steenhaut, Kris; Nowé, Ann; Anpalagan, Alagan

doi:10.1186/1687-1499-2014-204

Cited by 19 publications

(18 citation statements)

References 21 publications

(35 reference statements)

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“…Abughalieh et al introduce SCCC for a multi-hop WSN scenario [84]. A non-recursive convolutional outer encoder and a recursive convolutional encoder are used in the proposed SCCC.…”

Section: Fec For Wsnmentioning

confidence: 99%

Opportunities and Challenges for Error Control Schemes for Wireless Sensor Networks: A Review

Kadel¹,

Paudel²,

Guruge³

et al. 2020

Electronics

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Error Correction Schemes (ECSs) significantly contribute to enhancing reliability and energy efficiency of Wireless Sensor Networks (WSNs). This review paper offers an overview of the different types of ECS used in communication systems and a synopsis of the standards for WSN. We also discuss channels and network models for WSN as they are crucial for efficient ECS design and implementation. The literature review conducted on the proposed energy consumption and efficiency models for WSN indicates that existing research work has not considered Single Hop Asymmetric Structure (SHAS) with high performing Error Correcting Codes (ECCs). We present a review on proposed ECS for WSN based on three criteria: Forward Error Correction (FEC), adaptive error correction techniques, and other techniques. Based on our review work, we found that there are limited works on ECS design on a realistic network model i.e., a modified multi-hop WSN model. Finally, we offer future research challenges and opportunities on ECS design and implementation for WSN.Keywords: error control scheme (ECS); energy efficiency; forward error correction (FEC); hybrid automatic repeat request (HARQ); wireless sensor network (WSN)

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“…Abughalieh et al introduce SCCC for a multi-hop WSN scenario [84]. A non-recursive convolutional outer encoder and a recursive convolutional encoder are used in the proposed SCCC.…”

Section: Fec For Wsnmentioning

confidence: 99%

Opportunities and Challenges for Error Control Schemes for Wireless Sensor Networks: A Review

Kadel¹,

Paudel²,

Guruge³

et al. 2020

Electronics

View full text Add to dashboard Cite

show abstract

“…The encoding and decoding energy consumption for the decomposable coding were calculated based on the model introduced in Ref. as

ϵ_{normale normaln normalc} = \frac{P_{convenc}}{R} L_{info}^{2}

ϵ_{d e c} = \frac{P_{italicvitdec}}{R} L_{info}^{2}

…”

Section: Energy Efficiency Modelmentioning

confidence: 99%

“…The values of P convenc and P vitdec were taken from Ref. . Finally, the energy efficiency was defined as

η \equiv \frac{λ}{E_{link}}

where λ is the number of successfully received information bits after N Tx transmission trials, excluding redundancy or header bits.…”

Section: Energy Efficiency Modelmentioning

confidence: 99%

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Performance evaluation of a QoS‐aware error control scheme for multiple‐WBAN environment

Takabayashi

Karvonen

Paso

et al. 2017

IEEJ Transactions Elec Engng

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This paper presents a comprehensive performance evaluation of an error control scheme using decomposable codes while satisfying quality of service (QoS) requirements in a multiple‐wireless body area network (WBAN) environment. Our QoS control scheme comprises a multiplexing layer and decomposable error control coding used to adapt the communication parameters and satisfy the different performance requirements of different types of WBAN data traffic. Using mathematical analysis and simulations, it has been shown in previous studies that this method has a better residual bit error ratio (RBER) and throughput performance than that of an IEEE 802.15.6‐based solution. The energy efficiency of the proposed method was recently evaluated for an additive white Gaussian noise case. In this work, this performance evaluation IS complemented by simulating the RBER performance under a defined worst case scenario. The energy efficiency is compared with that of the IEEE 802.15.6 solution using a realistic WBAN channel model and accounting for the interference from neighboring WBANs. Results from the previous studies and the new results are given to provide a complete description of the performance of our method. The results demonstrate that an error control scheme based on decomposable codes satisfies the QoS requirements of different data types and provides a more flexible and energy efficient QoS control than that of the IEEE 802.15.6 solution. The scheme is also shown to guarantee communication performance in the worst case scenario, whereas the IEEE 802.15.6 solution fails to do so. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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A Hybrid Adaptive Coding and Decoding Scheme for Multi-hop Wireless Sensor Networks

Ez‐zazi

Arioua

Oualkadi

et al. 2016

Wireless Pers Commun

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In this paper, we have proposed a hybrid adaptive coding and decoding scheme for multi-hop wireless sensor networks (WSNs). Energy consumption and transmission reliability are used as performance metrics for multi-hop communications in WSNs. The presented scheme takes into account distance, channel conditions and correction codes performance to decide coding and decoding procedure, and considers Reed Solomon (RS) code and Low Density Parity Check (LDPC) code to provide error protection on the transmitted data. The proposed approach aims to reduce the decoding power consumption and to prolong the lifetime of the network as well as improve the reliability of the transmission. Simulation results show that our performed scheme enhances both energy efficiency and communication reliability of multi-hop sensor networks.

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Turbo codes for multi-hop wireless sensor networks with decode-and-forward mechanism

Cited by 19 publications

References 21 publications

Opportunities and Challenges for Error Control Schemes for Wireless Sensor Networks: A Review

Opportunities and Challenges for Error Control Schemes for Wireless Sensor Networks: A Review

Performance evaluation of a QoS‐aware error control scheme for multiple‐WBAN environment

A Hybrid Adaptive Coding and Decoding Scheme for Multi-hop Wireless Sensor Networks

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