research-article

Joint FEC/CRC coding scheme for energy constrained IOT devices

Authors:

Ahmed El Oualkadi,

Younes el AssariAuthors Info & Claims

ICFNDS '17: Proceedings of the International Conference on Future Networks and Distributed Systems

Article No.: 25, Pages 1 - 8

https://doi.org/10.1145/3102304.3102329

Published: 19 July 2017 Publication History

Abstract

Energy efficiency is of utmost importance in internet of things (IOT) as it tends to rely on battery-powered devices constrained by their limited lifetime, which entails the need of energy-aware protocols. As transmission energy is the most energy consuming, and reliability is of paramount in IOT applications, we advocate the use of error control coding as means to provide reliability and transmission energy saving. Forward error correction (FEC) aims at saving transmission energy and correcting channel errors at the receiver by using channel coding and decoding, yet the complexity of the decoding process affects both the energy and reliability performance of wearable devices. In this work, we propose a joint FEC/CRC scheme to alleviate the decoding energy depletion and provide communication reliability. We thoroughly evaluate the performance of the proposed coding scheme in terms of energy efficiency and reliability in a multi-hop network.

References

[1]

A. Abdelrahman, H. Mohammad, A. Bamidele, J. Sohail, B. Ahcène, and A. Hashem. 2017. Dynamic clustering and management of mobile wireless sensor networks. Computer Networks 117 (2017), 62--75.

Digital Library

[2]

N. Abughalieh, K. Steenhaut, A. Nowe, and A. Anpalagan. 2014. Turbo codes for multi-hop wireless sensor networks with decode-and-forward mechanism. EURASIP Journal on Wireless Communications and Networking 2014 (2014), 1--13.

[3]

G. Anastasi, M. Conti, M. D. Francisco, and A. Passarella. 2008. Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks 7, 3 (2008), 537--568.

Digital Library

[4]

M. Arioua, Y. El Assari, I Ez-zazi, and A. El Oualkadi. 2016. Multi-hop cluster based routing approach for wireless sensor networks. In Proceedings of International Conference on Ambient Systems, Networks and Technologies (ANT2016). 584--891.

[5]

A. D. G. Biroli, M. Martina, and G. Masera. 2012. An LDPC Decoder Architecture for Wireless Sensor Network Applications. Sensors 12, 2 (2012), 1529--1543.

[6]

P. Castiglione, O. Simeone, E. Erkip, and T. Zemen. 2012. Energy Management Policies for Energy-Neutral Source-Channel Coding. IEEE Transactions on Communications 60, 9 (2012), 2668--2678.

[7]

J. Chen and M.P.C Fossorier. 2002. Near Optimum Universal Belief Propagation Based Decoding of Low-Density Parity Check Codes. IEEE Transactions on Communications 50, 3 (2002), 406--414.

[8]

S. Chouhan, R. Bose, and M. Balakrishnan. 2009. Integrated energy analysis of error correcting codes and modulation for energy efficient wireless sensor nodes. IEEE Transactions on Wireless Communications 8 (2009), 5348--5355.

Digital Library

[9]

Imad Ez-zazi, Mounir Arioua, and Ahmed El Oualkadi. 2017. On the design of coding framework for energy efficient and reliable multi-hop sensor networks. Procedia Computer Science 109 (2017), 537--544. 8th International Conference on Ambient Systems, Networks and Technologies, ANT-2017, 16--19 May 2017, Madeira, Portugal.

[10]

I. Ez-zazi, M. Arioua, A. E. oualkadi, and P. Lorenz. 2016. A hybrid adaptive coding and decoding scheme for multi-hop wireless sensor network. Wireless Personal Communications 94, 4 (2016), 3017--3033.

Digital Library

[11]

I. Ez-zazi, A. Eloualkadi, M. Arioua, and Y. Elassari. 2015. Performance analysis of efficient coding schemes for wireless sensor networks. In Proceedings of IEEE international Workshop on RFID and Wireless Sensor Network (RAWSN'15). IEEE, Morocco, 42--47.

[12]

R. G. Gallager. 1962. Low-density parity-check codes. IRE Transaction on Information Theory 8 (1962), 21--28.

[13]

S. L. Howard, C. Schlegel, and K. Iniewski. 2006. Error control coding in low-power wireless sensor networks: When is ecc energy-efficient? EURASIP Journal on Wireless Communications and Networking 2006 (2006), 1--14.

Digital Library

[14]

N. Javaid, O. Rehman, N. Alrajeh, Z. A. Khan, B. Manzoor, and S. Ahmed. 2013. Aid: An energy efficient decoding scheme for ldpc codes in wireless body area sensor networks. In Proceedings of International Workshop on Communications and Sensor Networks. 449--554.

[15]

G. Lazarou, J. Li, and J. Picone. 2007. A cluster-based power-efficient MAC scheme for event-driven sensing applications. Ad Hoc Networks 5, 7 (2007), 1070--1030.

Digital Library

[16]

D. W. Lee and J. H. Kim. 2010. High reliable in-network data verification in wireless sensor networks. Wireless Personal Communications 54, 9 (2010), 501--519.

Digital Library

[17]

D. J. C. MacKay. 2002. Good error-correcting codes based on very sparse matrices. IEEE Transaction on Information Theory 45 (2002), 399--431.

Digital Library

[18]

M. A. Mahmood, W. K. G. Seah, and I. Welch. 2015. Reliability in wireless sensor networks: A survey and challenges ahead. Computer Networks 79 (2015), 166--184.

Digital Library

[19]

D. Miorandi, S. Sicari, F. D. Pellegrini, and I. Chlamtac. 2012. Internet of things: Vision, applications and research challenges. Ad Hoc Networks 10, 7 (2012), 1497--1516.

Digital Library

[20]

H. Mohammad, A. Fayez, L. Huw, N.Robert, A. Bamidele, B. Ahcene, and A. Abdelrahman. 2017. A Wireless Sensor Network Border Monitoring System: Deployment Issues and Routing Protocols. IEEE Sensors Journal 17, 8 (2017), 2572--2582.

[21]

H. Mohammad, N.Robert, D.Christopher, M. Sarah, and A. Omar. 2015. Map as a Service: A Framework for Visualising and Maximising Information Return from Multi-Modal Wireless Sensor Networks. Sensors 15, 9 (2015), 22970--23003.

[22]

M. Y. Naderi, R. H. Rabiee, M. khansari, and M. Salehi. 2012. Error control for multimedia communications in wireless sensor networks: A comparative performance analysis. Ad Hoc Networks 10 (2012), 1028--1042.

Digital Library

[23]

D. M. Pham and S. M. Aziz. 2014. On efficient design of ldpc decoders for wireless sensor networks. Journal of networks 9 (2014), 3207--3214.

[24]

T.S Rappaport. 1996. Wireless Communications: Principles and Practice. Prentice Hall, Reading, MA.

Digital Library

[25]

T. Richardson, A. Shokrollahi, and R. Urbanke. 2001. Design of capacity-approaching irregular low-density parity check codes. IEEE Transaction on Information Theory 47 (2001), 619--637.

Digital Library

[26]

T. Richardson and R. Urbanke. 2001. Efficient encoding of low-density parity check codes. IEEE Transaction on Information Theory 47 (2001), 638--656.

Digital Library

[27]

M. C. Vuran and I. F. Akyildiz. 2009. Error control in wireless sensor networks: a cross layer analysis. IEEE/ACM Transactions on Networking 17 (2009), 1186--1199.

Digital Library

[28]

D. Zordan, B. Martinez, I. Vilajosana, and M. Rossi. 2012. On the Performance of Lossy Compression Schemes for Energy Constrained Sensor Networking. ACM Transaction on Sensor Networks 11, 1 (2012), 1--34.

Digital Library

Cited By

K MNimmagadda P(2023)Advancements in Wireless Video Communication Optimization: A Comprehensive Comparison2023 International Conference on Next Generation Electronics (NEleX)10.1109/NEleX59773.2023.10421080(1-6)Online publication date: 14-Dec-2023
https://doi.org/10.1109/NEleX59773.2023.10421080
Gillani SAsghar MShifa AAbdullah SKanwal NFleury M(2022)VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video StreamingEntropy10.3390/e2406075524:6(755)Online publication date: 26-May-2022
https://doi.org/10.3390/e24060755
Behdad ZMahdavi MRazmi N(2018)A New Relay Policy in RF Energy Harvesting for IoT Networks—A Cooperative Network ApproachIEEE Internet of Things Journal10.1109/JIOT.2018.28243485:4(2715-2728)Online publication date: Aug-2018
https://doi.org/10.1109/JIOT.2018.2824348
Show More Cited By

Index Terms

Joint FEC/CRC coding scheme for energy constrained IOT devices
1. Networks

Recommendations

Energy Efficiency of Error Control for High Data Rate WPAN

This paper addresses the issue of energy efficiency for error control mechanisms over WPAN systems. An analytical formulation has been developed to study the trade-off between link layer performance and energy consumption for two types of error control ...
Improving Energy Efficiency and Reliability in WuR-Based IoT Systems: An Error Correction Approach
Abstract
Intelligent connected objects, the building blocks of IoT, represent battery supplied electronic devices. These devices are expected to be deployed in very large numbers, and manual replacement of their batteries will severely restrict their large-...
Time switching based, outage‐constrained, energy harvesting and energy‐efficient cooperative radio communication policy
Abstract
In this work, the authors consider a two‐hop cooperative radio communication system that consists of energy harvesting relays. The EH relays harvest energy from its received radio frequency signal. The EH relay nodes adopt the time‐switching ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

ICFNDS '17: Proceedings of the International Conference on Future Networks and Distributed Systems

July 2017

325 pages

ISBN:9781450348447

DOI:10.1145/3102304

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

LABSTICC: Labsticc

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICFNDS '17

ICFNDS '17: International Conference on Future Networks and Distributed Systems

July 19 - 20, 2017

Cambridge, United Kingdom

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
116
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

K MNimmagadda P(2023)Advancements in Wireless Video Communication Optimization: A Comprehensive Comparison2023 International Conference on Next Generation Electronics (NEleX)10.1109/NEleX59773.2023.10421080(1-6)Online publication date: 14-Dec-2023
https://doi.org/10.1109/NEleX59773.2023.10421080
Gillani SAsghar MShifa AAbdullah SKanwal NFleury M(2022)VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video StreamingEntropy10.3390/e2406075524:6(755)Online publication date: 26-May-2022
https://doi.org/10.3390/e24060755
Behdad ZMahdavi MRazmi N(2018)A New Relay Policy in RF Energy Harvesting for IoT Networks—A Cooperative Network ApproachIEEE Internet of Things Journal10.1109/JIOT.2018.28243485:4(2715-2728)Online publication date: Aug-2018
https://doi.org/10.1109/JIOT.2018.2824348
Ni ZBhat RMotani M(2018)On Dual-Path Energy-Harvesting Receivers for IoT With Batteries Having Internal ResistanceIEEE Internet of Things Journal10.1109/JIOT.2018.28139765:4(2741-2752)Online publication date: Aug-2018
https://doi.org/10.1109/JIOT.2018.2813976
Pavan Kumar CSelvakumar R(2018)Authentication Protocol Using Error Correcting Codes and Cyclic Redundancy CheckWireless Algorithms, Systems, and Applications10.1007/978-3-319-94268-1_80(874-882)Online publication date: 13-Jun-2018
https://doi.org/10.1007/978-3-319-94268-1_80

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents