A High Energy Efficiency Link Layer Adaptive Error Control Mechanism for Wireless Sensor Networks

Jin, Yong; Jin-yi, Chang; Le, Deguang

doi:10.1109/cise.2010.5676934

Cited by 6 publications

(6 citation statements)

References 11 publications

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“…Error correcting codes for wireless sensor networks are proposed in the literature but focus primarily on conventional ECCs such as BCH and Reed-Solomon and convolutional codes [10][11][12]. A hybrid scheme combining energy-efficient ECC techniques and ARQ is studied in [13]. In [14], convolutional codes are analyzed for power consumption in a slow Rayleigh fading channel.…”

Section: Related Workmentioning

confidence: 99%

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

Abughalieh¹,

Steenhaut²,

Nowé³

et al. 2022

Preprint

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Wireless channels are prone to many impairments, such as noise and fading. Weak channels between the nodes in the wireless sensor network (WSN) can cause reception of erroneous packets. Retransmission mechanisms are mainly mused to tackle the problem of erroneous reception in WSN communication protocols. Weak channels can cause high number of retransmissions in order to deliver a packet correctly, which will consume high energy of both the transmitting and the receiving nodes. Error correcting codes (ECCs) can be used to reduce number of retransmissions, but most ECCs have complex decoding algorithms, which leads to high processing energy consumption at the receiving nodes in the WSN. In this paper, we present a low power consumption decode-and-forward approach for the multi-hop WSNs; a serial concatenation convolutional codes (SCCC) encoder is implemented at the source node while the complex iterative decoding algorithm is shifted to the sink (base station). The intermediate nodes run a Viterbi decoding algorithm to decode only the inner code of the SCCC encoder. We investigate the effect of changing constraint length of both the inner and the outer codes and the effect of changing encoding block size. We show that most packets can be decoded at the base station at low signal-to-noise ratio (SNR) channels with the penalty of small energy loss in decoding the packet at the nodes in the network.

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Section: Related Workmentioning

confidence: 99%

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

Abughalieh¹,

Steenhaut²,

Nowé³

et al. 2022

Preprint

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“…In [88], Jin et al perform mathematical analysis of energy efficiency of RS code, ARQ and HARQ (RS code and ARQ) considering a Mica 2 series WSN platform. The energy efficiency analysis based on Equation (11) where decoding energy cost for RS code is evaluated using the number of operations involved during the decoding.…”

Section: Single-hop Networkmentioning

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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“…The channel state information (CSI) is known at the re ceiver, which is called Received Signal Indication (RSSI) in WSNs and is given by [9] :…”

Section: A Channel Modelmentioning

confidence: 99%

Energy-aware joint power, packet and topology optimization by simulated annealing for WSNs

Xenakis

Foukalas

Stamoulis

et al. 2013

2013 7th IEEE GCC Conference and Exhibition (GCC)

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Energy-aware connectivity in wireless sensor net works (WSNs) can increase their network lifetime. This can be achieved by optimizing the power control, a particular communication mechanism and the topology control. To this end, in this paper ', an energy-aware joint power, packet and topology optimization for WSNs is provided. More specifically, we assume power control based on feedback information, packet trans mission through automatic-repeat-request(ARQ) mechanism and topology control assuming specific coverage constraints. This par ticular joint optimization problem is considered as NP-complete and heuristic methods are usually applied in such complicated cases. In particular, we employ Simulated Annealing (SA) for a step-by-step evaluation of the average energy consumption of sensor nodes, which is considered the objective function of our optimization problem. In each step of the SA algorithm, the resultant topology is evaluated and at the convergence point the near optimal transmit power and packet as well as node placements are obtained jointly.

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A High Energy Efficiency Link Layer Adaptive Error Control Mechanism for Wireless Sensor Networks

Cited by 6 publications

References 11 publications

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

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

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

Energy-aware joint power, packet and topology optimization by simulated annealing for WSNs

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