Error control coding in wireless sensor networks

Pellenz, Marcelo Eduardo; Souza, Richard Demo; Fonseca, Mauro

doi:10.1007/s11235-009-9222-5

Cited by 43 publications

(29 citation statements)

References 11 publications

(19 reference statements)

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“…In addition, we have found that the normal distribution has the best fit to the simulated PDFs for the Logarithmic, Moment and MAX-MIN based metrics 9 . The corresponding normal curve fittings are shown in Figures 11-13 for logarithmic, moment and MAX-MIN based metrics respectively.…”

Section: Statistics Of the Sd Metricsmentioning

confidence: 84%

“…Their analysis shows how the decoder power levels affect the Bit Error Rate (BER). Author in [9], investigate the trade-off between the transmission power and decoding power in WSNs by employing convolutional codes with a specific ECC complexity in order to extend the network lifetime. In [10], the authors studied the relationship between the number of received bits and the decoder power consumption using LDPC codes in WSNs.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Low-Complexity Low-Latency Power Efficient Collision Detection Algorithm for Wireless Sensor Networks

Alassery¹,

Ahmed²,

Sarraf³

et al. 2015

WSN

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Collision detection mechanisms in Wireless Sensor Networks (WSNs) have largely been revolving around direct demodulation and decoding of received packets and deciding on a collision based on some form of a frame error detection mechanism, such as a CRC check. The obvious drawback of full detection of a received packet is the need to expend a significant amount of energy and processing complexity in order to fully decode a packet, only to discover the packet is illegible due to a collision. In this paper, we propose a suite of novel, yet simple and power-efficient algorithms to detect a collision without the need for full-decoding of the received packet. Our novel algorithms aim at detecting collision through fast examination of the signal statistics of a short snippet of the received packet via a relatively small number of computations over a small number of received IQ samples. Hence, the proposed algorithms operate directly at the output of the receiver's analog-to-digital converter and eliminate the need to pass the signal through the entire. In addition, we present a complexity and power-saving comparison between our novel algorithms and conventional full-decoding (for select coding schemes) to demonstrate the significant power and complexity saving advantage of our algorithms.

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Section: Statistics Of the Sd Metricsmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

A Novel Low-Complexity Low-Latency Power Efficient Collision Detection Algorithm for Wireless Sensor Networks

Alassery¹,

Ahmed²,

Sarraf³

et al. 2015

WSN

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show abstract

“…Pellenz et al [15] used the above features of the convolutional code to select the appropriate constraint length of the convolutional encoder for each link in WSNs according to the link quality estimates. Short constraint lengths are assigned to high quality channels while long constraint lengths are assigned to weak channels.…”

Section: Related Workmentioning

confidence: 99%

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

Abughalieh

Steenhaut

Nowé

et al. 2014

J Wireless Com Network

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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 used 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.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Moreover, these types of networks are expected to be reliable, particularly in flawed communication channel [4]. Reducing the energy consumption and increasing the network lifespan of the network in hostile environment is a crucial maneuver [5].Efficient error correcting codes (ECC) such as LDPC (Low Density Parity Check) and RS (Reed Solomon) codes are used to improve the link reliability and lower the required transmitted power [6], [7]. However, the reliability level of the LDPC codes is provided at the cost of the energy efficiency of decoding process.…”

mentioning

confidence: 99%

Energy Performance of LDPC Scheme in Multi-Hop Wireless Sensor Network with Two base Stations Model

Assari¹,

Arioua²,

Ez‐zazi³

et al. 2017

IJECE

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Conservation of the energy is one of the main design issues in wireless sensor networks. The limited battery power of each sensor node is a challenging task in deploying this type of network. The challenge is crucial in reliable wireless network when implementing efficient error correcting scheme with energy consuming routing protocol. In this work, we investigated the energy performance of LDPC code in multi-hop wireless sensor network. We proposed a model of two base stations to prolong the lifetime and build a reliable and energy-efficient network. Through performed MATLAB simulations, we examine the energy effectiveness of multiple base stations model on reliable wireless sensor network performance in different network dimensions. Keyword:Low density parity check Minimum transmission energy error correcting codes Reliability Wireless sensor networks energy-efficiency Copyright © 2017 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Mounir Arioua, Department of Telecommunication Systems and Networks, National School of Applied Sciences of Tetuan, Abdelmalek Essaadi University, Quartier M'haneche II, avenue Palestine B.P. 2222 Tétouan, Morocco. Email: m.arioua@ieee.org INTRODUCTIONThe major constraint in the deployment of wireless sensor networks is the limited battery power of each sensor node and the energy restrictions due to the error correcting scheme deployment to reach high link reliability in the network [1]. In tactical WSNs, nodes which are severely energy constrained have to rely on little energy storage for potentially months or years of service [2]. For this reason, optimization techniques needed to be implemented with the existing designed protocols used by the network to minimize the energy depletion rate (EDR) of the node and subsequently extend the service life of the WSN [3]. Moreover, these types of networks are expected to be reliable, particularly in flawed communication channel [4]. Reducing the energy consumption and increasing the network lifespan of the network in hostile environment is a crucial maneuver [5].Efficient error correcting codes (ECC) such as LDPC (Low Density Parity Check) and RS (Reed Solomon) codes are used to improve the link reliability and lower the required transmitted power [6], [7]. However, the reliability level of the LDPC codes is provided at the cost of the energy efficiency of decoding process. In fact, these codes have a large computational complexity and employ a complex iterative decoding in the receiver which raises the energy consumption [8]. The preponderance of existing research in WSNs generally includes the perspective of a single base station. To optimize the trade-off reliability-energy in multi-hop network, we proposed a two base stations model and investigated the performance of LDPC code in different network dimensions. We extended the usual WSN conception to a two-base stations framework to improve the energy efficiency of reliable sensor network. We examined the impact of deploying two base

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Error control coding in wireless sensor networks

Cited by 43 publications

References 11 publications

A Novel Low-Complexity Low-Latency Power Efficient Collision Detection Algorithm for Wireless Sensor Networks

A Novel Low-Complexity Low-Latency Power Efficient Collision Detection Algorithm for Wireless Sensor Networks

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

Energy Performance of LDPC Scheme in Multi-Hop Wireless Sensor Network with Two base Stations Model

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