Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Peer-to-Peer Networking and Applications
Published in: Peer-to-Peer Networking and Applications 4/2021

02-05-2021

A self-localization range free protocol for wireless sensor networks

Authors: Souhila Silmi, Zouina Doukha, Samira Moussaoui

Published in: Peer-to-Peer Networking and Applications | Issue 4/2021

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Wireless Sensor Networks (WSNs) attract a large variety of applications. The physical localization of sensors is one of the fundamental tasks in such networks. This task is challenging due to technical and financial constraints of nodes that need sophisticated solutions. Existing satellite-based methods might be cost, require high-energy consumption with no guarantee of full coverage of that area. Therefore, other methods, which use the local connectivity information to deduce sensors position, provide an approximate or a relative localization. In this work, we propose a new localization protocol called SL-Free protocol (Self Localization protocol based range-free), which provides a fine localization for node. The main goal of this proposal is to give the most precised coordinates with less cost. The performance study shows that, SL-Free outperforms its peers in terms of precision and energy use.
previous article Delay - aware bandwidth estimation and intelligent video transcoder in mobile cloud
next article Hybrid fuzzy logic and artificial Flora optimization algorithm-based two tier cluster head selection for improving energy efficiency in WSNs

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Du R (2016) Wireless Sensor Networks in Smart Cities: The Monitoring of Water Distribution Networks Case. PhD Thesis, Sweden: School of Electrical Engineering, KTH Royal Institute of Technology
2.
Huss P, Wigertz N, Zhang J, Huynh A, Ye Q, Gong S (2014) Flexible architecture for internet of things utilizing an local manager. International Journal of Future Generation Communication and Networking 7(1):235–248CrossRef
3.
Duan Y, Li W, Fu X, Luo Y, Yang L (2017) A methodology for reliability of WSN based on software defined network in adaptive industrial environment. IEEE/CAA Journal of Automatica Sinica 5(1):74–82CrossRef
4.
Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Computer networks 38(4):393–422CrossRef
5.
Qin X, Zhang B, Li C (2019) Localized topology control and on-demand power-efficient routing for wireless ad hoc and sensor networks. Peer-to-Peer Networking and Applications 12(1):189–208CrossRef
6.
Yick J, Mukherjee B, Ghosal D (2008) Wireless sensor network survey. Computer networks 52(12):2292–2330
7.
Hofmann Wellenhof B, Lichtenegger H, Collins J (2012) Global positioning system: theory and practice. Springer Science & Business Media
8.
Putri Kevin, Dian viely , Udeni T Samarakoon (2019) Performance analysis of wireless sensor network localization algorithms. IJCNA Vol. 6 Issue 6
9.
Sahoo PK, Hwang I (2011) Collaborative localization algorithms for wireless sensor networks with reduced localization error. Sensors 11(10):9989–10009CrossRef
10.
Cui Y, Wang Q, Yuan H, Song X, Hu X, Zhao L (2015) Relative localization in wireless sensor networks for measurement of electric fields under HVDC transmission lines. Sensors 15(2):3540–3564CrossRef
11.
Khelifi M, Moussaoui S, Silmi S, Benyahia I (2015) Localisation algorithms for wireless sensor networks: a review. International Journal of Sensor Networks 19(2):114–129CrossRef
12.
Doherty L, El Ghaoui L (2001) Convex position estimation in wireless sensor networks. In Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society, Cat. No. 01CH37213, Vol. 3, pp. 1655-1663
13.
Savvides A, Garber W, Adlakha S, Moses R, Srivastava MB (2003) On the error characteristics of multihop node localization in ad-hoc sensor networks. Information Processing in Sensor Networks. Springer, Berlin, Heidelberg, pp 317–332CrossRef
14.
Honeine P, Richard C, Snoussi H (2009) Auto-localisation dans les reseaux de capteurs sans fil par regression de matrices de Gram. In XXIIe colloque GRETSI (traitement du signal et des images), Dijon (FRA). GRETSI, Groupe d Etudes du Traitement du Signal et des Images
15.
Savvides A, Park H, Srivastava M B (2002) The bits and flops of the n-hop multilateration primitive for node localization problems. In Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications pp. 112-121
16.
Narwal P, Tyagi SS (2013) Position estimation using localization technique in wireless sensor networks. International Journal of Application or Innovation in Engineering & Management 2(6):110–115
17.
Shang Y, Meng J, Shi H (2004) A new algorithm for relative localization in wireless sensor networks. In 18th International Parallel and Distributed Processing Symposium. Proceedings p. 24. IEEE
18.
Champ J, Boudet V (2010) ADNL: Accurate distributed node localization algorithm in Wireless Sensor Networks. In 2010 European Wireless Conference (EW) pp. 318-325. IEEE
19.
Sassi H, Najeh T, Liouane N (2014) A selective 3-anchor DV-Hop algorithm based on the nearest anchor for wireless sensor network. International Journal of Electronics and Communication Engineering 8(10):1756–1760
20.
Daely P T, Shin S Y (2016) Range based wireless node localization using dragonfly algorithm. In 2016 eighth international conference on ubiquitous and future networks (ICUFN) pp. 1012-1015. IEEE
21.
Zaarour N, Kandil N, Affes S, Hakem N (2016) Path loss exponent estimation using connectivity information in wireless sensor network. In 2016 IEEE International Symposium on Antennas and Propagation (APSURSI) pp. 2069-2070. IEEE
22.
He T, Huang C, Blum B M, Stankovic J A, Abdelzaher T (2003) Range-free localization schemes for large scale sensor networks. In Proceedings of the 9th annual international conference on Mobile computing and networking pp. 81-95
23.
Mythili T, Ramesh J, Ramanathan P (2020) Innovative Localization Algorithm Using the Line of Intersection Technique in Wireless Sensor Networks. Journal of Internet Technology 21(2):425–433
24.
Champ J, Boudet V (2010) Adnl-angle: accurate distributed node localization for wireless sensor networks with angle of arrival information. International Conference on Ad-Hoc Networks and Wireless. Springer, Berlin, Heidelberg, pp 177–190
25.
Bulusu N, Heidemann J, Estrin D (2000) GPS-less low-cost outdoor localization for very small devices. IEEE personal communications 7(5):28–34CrossRef
26.
Singh S P, Sharma S C (2015) Range free localization techniques in wireless sensor networks: A review. Procedia Computer Science 57(7-16) 3rd
27.
Rabaey C S J, Langendoen K (2002) Robust positioning algorithms for distributed ad-hoc wireless sensor networks. In USENIX technical annual conference pp. 317-327
28.
Niculescu D, Nath B (2001) Ad hoc positioning system (APS). In GLOBECOM’01. IEEE Global Telecommunications Conference Cat. No.01CH37270, Vol. 5 pp. 2926-2931. IEEE
29.
Nguyen D V (2018) Wireless sensor networks for indoor mapping and accurate localization for low speed navigation in smart cities. PhD Thesis, PSL Research University, France
30.
Paul AK, Sato T (2017) Localization in wireless sensor networks: A survey on algorithms, measurement techniques, applications and challenges. Journal of Sensor and Actuator Networks 6(4):24CrossRef
31.
Nagpal R, Shrobe H, Bachrach J (2003) Organizing a global coordinate system from local information on an ad hoc sensor network. Information processing in sensor networks. Springer, Berlin, Heidelberg, pp 333–348CrossRef
32.
Kumar G, Saha R, Rai MK, Thomas R, Kim TH, Lim SJ, Singh JSP (2019) Improved location estimation in wireless sensor networks using a vector-based swarm optimized connected dominating set. Sensors 19(2):376CrossRef
33.
Messous S, Liouane H, Liouane N (2020) Improvement of DV-Hop localization algorithm for randomly deployed wireless sensor networks. Telecommunication Systems 1-12
34.
Cui L, Xu C, Li G, Ming Z, Feng Y, Lu N (2018) A high accurate localization algorithm with DV-Hop and differential evolution for wireless sensor network. Applied Soft Computing 68:39–52CrossRef
35.
Goyat R, Rai MK, Kumar G, Kim HJ, Lim SJ (2020) Improved DV-Hop Localization Scheme for Randomly Deployed WSNs. International Journal of Sensors Wireless Communications and Control 10(1):94–109CrossRef
36.
Khelifi F, Bradai A, Benslimane A, Kaddachi M L, Atri M (2017) Energy-saving performance of an improved DV-hop localization algorithm for wireless sensor networks. In GLOBECOM 2017-2017 IEEE Global Communications Conference pp. 1-6. IEEE
37.
Pandey S, Varma S (2016) A range based localization system in multihop wireless sensor networks: A distributed cooperative approach. Wireless Personal Communications 86(2):615–634CrossRef
38.
Singh SP, Sharma SC (2019) Implementation of a PSO based improved localization algorithm for wireless sensor networks. IETE Journal of Research 65(4):502–514CrossRef
39.
Kanwar V, Kumar A (2020) DV-Hop based localization methods for additionally deployed nodes in wireless sensor network using genetic algorithm. Journal of Ambient Intelligence and Humanized Computing 1-19
40.
Sharma G, Kumar A (2018) Improved DV-Hop localization algorithm using teaching learning based optimization for wireless sensor networks. Telecommunication Systems 67(2):163–178CrossRef
41.
Saad C, Benslimane A, König J C, Turbert J (2007) At-free: A preliminary method for localization techniques in sensor networks. In NOTERE 2007: 7th International Conference on New Technologies of Distributed Systems. IEEE
42.
Yang C, Zhu W, Wang W, Chen L, Chen D, Cao J (2014) Connectivity-based virtual potential field localization in wireless sensor networks. In 2014 IEEE Wireless Communications and Networking Conference (WCNC) pp. 2641-2646. IEEE
43.
Heurtefeux K, Valois F (2008) Distributed qualitative localization for wireless sensor networks. International Conference on Ad-Hoc Networks and Wireless. Springer, Berlin, Heidelberg, pp 218–229
44.
Sharma, R., Prakash, S., & Roy, P. (2020) Methodology, Applications, and Challenges of WSN-IoT. In 2020 International Conference on Electrical and Electronics Engineering (ICE3) (pp. 502-507). IEEE
45.
Boukerche A, (Ed.) (2008) Algorithms and protocols for wireless and mobile ad hoc networks (Vol. 77). John Wiley & Sons
46.
Boukerche A, Oliveira HA, Nakamura EF, Loureiro AA (2007) Localization systems for wireless sensor networks. IEEE wireless Communications 14(6):6–12CrossRef
47.
Silmi, S., Doukha, Z., Kemcha, R., Moussaoui, S. (2020) Wireless sensor networks simulators and testbeds. CoRR journal, abs/2009.03640 volume, 2020
48.
Langendoen K, Reijers N (2003) Distributed localization in wireless sensor networks: a quantitative comparison. Computer networks 43(4):499–518CrossRef
49.
Bulusu N, Estrin D, Girod L, Heidemann J (2001) Scalable coordination for wireless sensor networks: self-configuring localization systems. International Symposium on Communication Theory and Applications -ISCTA. Ambleside, UK, pp 1–6
50.
Wang B, Wang W, Srinivasan V, Chua KC (2005) Information coverage for wireless sensor networks. IEEE Communications Letters 9(11):967–969CrossRef
51.
Cheikhrouhou O, Bhatti G, Alroobaea R (2018) A hybrid DV-hop algorithm using RSSI for localization in large-scale wireless sensor networks. Sensors 18(5):1469CrossRef
Metadata
Title
A self-localization range free protocol for wireless sensor networks
Authors
Souhila Silmi
Zouina Doukha
Samira Moussaoui
Publication date
02-05-2021
Publisher
Springer US
Published in
Peer-to-Peer Networking and Applications / Issue 4/2021
Print ISSN: 1936-6442
Electronic ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-021-01155-w

Other articles of this Issue 4/2021

Peer-to-Peer Networking and Applications 4/2021 Go to the issue

OriginalPaper

Sparse auto encoder driven support vector regression based deep learning model for predicting network intrusions

OriginalPaper

A Grey-Wolf based Optimized Clustering approach to improve QoS in wireless sensor networks for IoT applications

OriginalPaper

Privacy preserving E-voting cloud system based on ID based encryption

OriginalPaper

Epidemic and transmission priority based data dissemination model in vehichular adhoc networks (VANETs)

OriginalPaper

A machine learning-assisted data aggregation and offloading system for cloud–IoT communication

OriginalPaper

Enabling privacy-preserving multi-level attribute based medical service recommendation in eHealthcare systems

Premium Partner

    Image Credits