Performance analysis of efficient coding schemes for wireless sensor networks

Ez‐zazi, Imad; Arioua, Mounir; Oualkadi, Ahmed El; Assari, Younes El

doi:10.1109/rawsn.2015.7173277

Cited by 18 publications

(16 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A BCH code can correct any group of t or less errors in a block of n bits. The generator polynomial of the BCH code is defined as a function of its solution over the Galois field (GF) (2 m ) [36,44]. By performing the same procedure as in [39], we can determine the generator matrix, parity check matrix, and the equivalent d min .…”

Section: Adaptive Bch Codesmentioning

confidence: 99%

Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM Neural Network Channel Estimation

et al. 2019

View full text Add to dashboard Cite

Non-orthogonal multiple access (NOMA) is the technique proposed for multiple access in the fifth generation (5G) cellular network. In NOMA, different users are allocated different power levels and are served using the same time/frequency resource blocks (RBs). The main challenges in existing NOMA systems are the limited channel feedback and the difficulty of merging it with advanced adaptive coding and modulation schemes. Unlike formerly proposed solutions, in this paper, we propose an effective channel estimation (CE) algorithm based on the long-short term memory (LSTM) neural network. The LSTM has the advantage of adapting dynamically to the behavior of the fluctuating channel state. On average, the use of LSTM results in a 10% lower outage probability and a 37% increase in the user sum rate as well as a maximal reduction in the bit error rate (BER) of 50% in comparison to the conventional NOMA system. Furthermore, we propose a novel power coefficient allocation algorithm based on binomial distribution and Pascal’s triangle. This algorithm is used to divide power among N users according to each user’s channel condition. In addition, we introduce adaptive code rates and rotated constellations with cyclic Q-delay in the quadri-phase shift keying (QPSK) and quadrature amplitude modulation (QAM) modulators. This modified modulation scheme overcomes channel fading effects and helps to restore the transmitted sequences with fewer errors. In addition to the initial LSTM stage, the added adaptive coding and modulation stages result in a 73% improvement in the BER in comparison to the conventional NOMA system.

show abstract

Section: Adaptive Bch Codesmentioning

confidence: 99%

Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM Neural Network Channel Estimation

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The first order energy model was adopted in this work to measure the radio hardware energy dissipation [8]. This model consists of three main units as shown in Figure 1.…”

Section: Radio Energy Modelmentioning

confidence: 99%

“…However, the effect of path loss and fading phenomenon are not important since inter node distances are short. In the other hand, operating over large inter node distance, the radio energy is Obtained results in [8] demonstrate that LDPC and RS codes are efficient candidates for WSN applications as they feature a significant coding gain as compared with other codes. To achieve a certain desired bit error rate (BER) in WSN, RS and LDPC are considered in this work, since they present best performance of correction capacity and coding gain with satisfactory requirement of BER [17].…”

Section: Error Correcting Schemes : Energy Analysis 31 Error Correcmentioning

confidence: 99%

“…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.…”

mentioning

confidence: 99%

See 1 more Smart Citation

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

Assari¹,

Arioua²,

Ez‐zazi³

et al. 2017

IJECE

Self Cite

View full text Add to dashboard Cite

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

show abstract

“…Several error correction codes have been investigated for WSNs, including BCH codes, Reed Solomon (RS) codes, convolutional codes, Turbo codes and Low Density Parity Check (LDPC) codes [19][20][21][22]. RS codes have been proven suitable and energy efficient for wireless sensor network applications with simple and reasonable coding and decoding complexity [23]. Results presented in [24] show that using RS codes with short codeword length and BPSK modulation scheme in WSN saves about 50% of energy.…”

Section: Error Correction Coding In Wsnmentioning

confidence: 99%

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

Ez‐zazi

Arioua

Oualkadi

et al. 2016

Wireless Pers Commun

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Performance analysis of efficient coding schemes for wireless sensor networks

Cited by 18 publications

References 17 publications

Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM Neural Network Channel Estimation

Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM Neural Network Channel Estimation

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

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

Contact Info

Product

Resources

About