BCH coding and multi-hop communication in wireless sensor networks

Kashani, Zeinab; Shiva, M.

doi:10.1109/wocn.2006.1666619

Cited by 29 publications

(9 citation statements)

References 12 publications

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“…Kashani and Shiva examined energy efficiency of uncoded and BCH codes with different correction capabilities in multi-hop WSN considering different packet length [78]. The simulation is performed in a linear packet forwarding model where distance between end-node and sink is 100 m and considers a single-hop to 20 hops (with uniform distance between nodes) scenarios.…”

Section: Fec For Wsnmentioning

confidence: 99%

See 1 more Smart Citation

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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Section: Fec For Wsnmentioning

confidence: 99%

“…Therefore, an uncoded system is more energy efficient than a coded system in densely populated multi-hop WSN. Kashani and Shiva extend their work of [78] to [79] to compare the performance of RS, BCH, and convolutional code with different error correcting capabilities. The paper claims that RS code is the most energy efficient among them.…”

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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“…Therefore, a crucial demand for efficient IoTs-based devices communication exerts pressure on the existing wireless communication infrastructures including WMNs in terms of improving the data transmission and power consumption. Various codes have been studied to assess their potentials for wireless sensor networks (WSNs), including polar codes [26], turbo codes [27], BCH codes [28], LDPC [29], and Reed-Solomon codes [30]. However, Reed-Solomon codes have shown a good trade-off between energy efficiency and coding gains for wireless networks as presented in [31], [32].…”

Section: Related Workmentioning

confidence: 99%

Multilevel High-Rate Coding With Twofold Concatenation for IoTs in Wireless Mesh Networks

Ma¹,

Alkhaleefah²,

Chang³

et al. 2020

IEEE Access

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Recent studies have shown that wireless mesh networks (WMNs) can be cheap, reliable, and efficient solutions for Internet of Things (IoTs) applications and connected devices. However, the increase in the size of the WMNs could lead to a degradation in performance. This makes the network vulnerable to high error rates over noisy and fading channels. This has increased the demand for more efficient channel coding schemes that can provide reliability, high data rate, high coding gain, energy efficiency, and minimum decoding complexity especially for low-cost and special purpose WMNs. In this research, an original multilevel coding with twofold concatenation scheme is designed based on high-rate space-time block codes (HRSTBCs) to cope with this increasing demand, particularly in MIMO-based WMNs. First, a multilevel coding scheme is implemented by correlating HRSTBCs with the uniquely constructed set-partitioning of the transmission matrix, based on the coding gain distance (CGD) criterion. This generates a new scheme, namely multilevel high-rate space-time block code (MHRSTBC), to provide a high transmission rate. Second, a twofold concatenation coding scheme is introduced by concatenating Reed-Solomon (RS) code, has been used for its energy efficiency and optimality in the mobile environment, with the inner code of the associated MHRSTBC. This has formed a new scheme that reaches the maximum coding gains, called the Reed-Solomon multilevel high-rate space-time block code (RS-MHRSTBC). The efficiency of the RS-MHRSTBC is verified by a computer simulation over a Rayleigh flat-fading and additive white Gaussian noise (AWGN) channel. The RS-MHRSTBC is compared with the classical schemes of Alamouti STBC and Multilevel STBC over uncoded QPSK, and the RS-MHRSTBC shows significant high coding gains reached of 47.79 dB, while Alamouti STBC and Multilevel STBC reached 38.12 dB and 44.30 dB at a BER of 10 −6 respectively. RS-MHRSTBC also shows a reasonable decoding complexity while maintaining full transmission diversity at spectral efficiency of 2 bits/s/Hz. INDEX TERMS channel coding, internet of things, Reed-Solomon codes, space-time block codes, wireless network.

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“…In order to prolong the life of sensor nodes, the communication protocol between the nodes and error control coding must be efficient, because the sensor nodes are energy limited. So, what kind of error control coding is efficient [9] gives the definition of energy-efficiency, which a lot of literature make it as a standard of wireless sensor network of error control technology [10][11].…”

Section: Energy-efficiency Analysismentioning

confidence: 99%

Turbo Product Codes Decoding Algorithm with Weighted HIHO for Energy-efficient Wireless Sensor Network

Yao¹,

Liu²,

Yang³

2016

IJFGCN

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BCH coding and multi-hop communication in wireless sensor networks

Cited by 29 publications

References 12 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

Multilevel High-Rate Coding With Twofold Concatenation for IoTs in Wireless Mesh Networks

Turbo Product Codes Decoding Algorithm with Weighted HIHO for Energy-efficient Wireless Sensor Network

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