Channel Coding in Multi-hop Wireless Sensor Networks

Kashani, Zeinab; Shiva, M.

doi:10.1109/itst.2006.288714

Cited by 18 publications

(6 citation statements)

References 9 publications

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“…MATLAB is used as our simulation tool for carrying out this analysis. We consider BCH (2047, 2036, 1), BCH (2047, 1992, 5), RS (255, 253, 1) and RS (255, 245, 5) for the comparison as BCH codes of length 2047 bits are suitable to be compared with RS codes of length 255 [30]. Parameter values mentioned in [23] and Table 1 are used for our analysis.…”

Section: Numerical Resultsmentioning

confidence: 99%

Impact of error control code on characteristic distance in wireless underground sensor networks

Chowdhury

Hossain

2018

IET Communications

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Section: Numerical Resultsmentioning

confidence: 99%

Impact of error control code on characteristic distance in wireless underground sensor networks

Chowdhury

Hossain

2018

IET Communications

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“…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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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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“…Even though these algorithms improve link reliability and save power, none attempted such a thing before. Examples of such work are present in [2], [3], [4], [5] where multiple ECC algorithms are evaluated and proved to provide better performance compared to other techniques such as automatic repeat request (ARQ). ARQ system depends on retransmission and acknowledg ments which usually ends up consuming more power than power consumed in correcting errors.…”

Section: Ieoin 2014mentioning

confidence: 99%

“…Now, we need to figure out how much energy is required by the decoder to decode the data. Since no actual sensor nodes were available, we estimated Erx at 0.54 nJ/bit using [2], [3]. To calculate the energy saving per bit that we gain from the use of ECC, we need to subtract the sum of E t x and Erx for RS code from E t x for the uncoded data.…”

Section: B Power Consumption Analysismentioning

confidence: 99%

Error-tolerant non-binary error correction code for low power wireless sensor networks

Qassim

Magaña

2014

The International Conference on Information Networking 2014 (ICOIN2014)

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Wireless sensor networks have emerged as rev olutionary technology, where hundreds or thousands of small sensor units are distributed over an environment to monitor a certain phenomenon and achieve a certain functionality. These small sensor nodes are capable of sensing, computing, and communicating. Even though their capabilities are limited, their overall behaviour is complex. For decades researchers all over the world have been working on realizing many applications for wireless sensor networks and trying to overcome their issues. As in any new technology several challenges stand as a barrier to the advancement of wireless sensor networks. One important challenge is power consumption since the expected life of a wireless sensor network is determined by the lifetime of its components. In this paper we propose a modification to the Reed-Solomon decoder algorithm in order to reduce its power consumption and thus improve the lifetime of wireless sensor networks. The proposed modification exploits the fact that there exist applications that tolerate errors without totally jeopardizing the integrity of the data. This opens the door for new type of error control codes, namely error-tolerant non binary error correction codes. Here we explore the performance of the proposed algorithm in terms of bit error rate and symbol error rate in comparison to the original algorithm and uncoded data. Also we provide a power saving estimate resulting from implementing such an algorithm.

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Channel Coding in Multi-hop Wireless Sensor Networks

Cited by 18 publications

References 9 publications

Impact of error control code on characteristic distance in wireless underground sensor networks

Impact of error control code on characteristic distance in wireless underground sensor networks

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

Error-tolerant non-binary error correction code for low power wireless sensor networks

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