Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2020

18.04.2020

MACBHA: Modified Adaptive Cluster-Based Heuristic Approach with Co-operative Spectrum Sensing in Wireless Sensor Networks

verfasst von: S. Allwin Devaraj, T. Aruna

Erschienen in: Wireless Personal Communications | Ausgabe 1/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, a Modified Adaptive Cluster-Based Heuristic Approach (MACHBA) has been proposed for wireless sensor networks (WSNs) to perform the cooperative spectrum sensing (CSS) in the shopping mall, weather forecasting, military area and audio, video transmission applications. A Secure CSS based MACBHA has been proposed for secondary spectrum usage. Unlicensed Secondary Users (SUs) utilize parts of the spectrum, which are not used by the licensed primary users (PUs) in cognitive radio WSNs. The unused spectrum of the PUs is utilized by the secondary user cluster. The performance of the MACBHA in WSNs is evaluated using the network simulator tool NS-2.35 in Ubuntu 16.04.6 LTS (Xenial Xerus) operating system. The simulation result shows the performance improvement in network utility. Even though, the number of SUs increases, a minimum latency is achieved.
Vorheriger Artikel Simulation and Energy Management in Smart Environment Using Ensemble of GA and PSO
Nächster Artikel Linearization of Photonic Link Based on Phase-Controlled Dual Drive Dual-Parallel Mach–Zehnder Modulator

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Literatur
1.
Ganti, R. K., Ye, F., & Lei, H. (2011). Mobile crowd sensing: Current state and future challenges. IEEE Communications Magazine, 49(11), 32–39.CrossRef
2.
Hachem, S., Pathak, A., & Issarny, V. (2013). Probabilistic registration for large-scale mobile participatory sensing. In 2013 IEEE international conference on pervasive computing and communications (PerCom). IEEE.
3.
Philipp, D., et al. (2013). Drops: Model-driven optimization for public sensing systems. In 2013 IEEE international conference on pervasive computing and communications (PerCom). IEEE.
4.
Shafiee, M., & Vakili, V. T. (2017). United versus cooperative spectrum sensing in cognitive wireless sensor networks (C-WSNs). Wireless Personal Communications, 95, 2461–2483.CrossRef
5.
Ferrari, F., et al. (2012). Low-power wireless bus. In Proceedings of the 10th ACM conference on embedded network sensor systems. ACM.
6.
Reddy, S., Estrin, D., & Srivastava, M. (2010). Recruitment framework for participatory sensing data collections. In International conference on pervasive computing. Berlin: Springer.
7.
Ahmed, A., et al. (2011) Distance and time based node selection for probabilistic coverage in people-centric sensing. In 2011 8th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks. IEEE.
8.
Weinberg, J., Brown, L. D., & Stroud, J. R. (2007). Bayesian forecasting of an inhomogeneous Poisson process with applications to call center data. Journal of the American Statistical Association, 102(480), 1185–1198.MathSciNetCrossRef
9.
Cohn, G., et al. (2012). An ultra-low-power human body motion sensor using static electric field sensing. In Proceedings of the 2012 ACM conference on ubiquitous computing. ACM.
10.
Li, S. Z., et al. (2002). Statistical learning of multi-view face detection. In European conference on computer vision. Berlin: Springer.
11.
Lane, N. D., et al. (2013) Piggyback crowd sensing (PCS): Energy efficient crowd sourcing of mobile sensor data by exploiting smartphone app opportunities. In Proceedings of the 11th ACM conference on embedded networked sensor systems. ACM.
12.
Liu, T., et al. (2014) Methods for sensing urban noises. In Technical reports on MSR-TR-2014-66.
13.
Roy, N., et al. (2011). An energy-efficient quality adaptive framework for multi-modal sensor context recognition. In 2011 IEEE international conference on pervasive computing and communications (PerCom). IEEE.
14.
Gordon, D., et al. (2012). Energy-efficient activity recognition using prediction. In 2012 16th international symposium on wearable computers. IEEE.
15.
Wang, Y., et al. (2009). A framework of energy efficient mobile sensing for automatic user state recognition. In Proceedings of the 7th international conference on mobile systems, applications, and services. ACM.
16.
Priyantha, B., Lymberopoulos, D., & Liu, J. (2011). Littlerock: Enabling energy-efficient continuous sensing on mobile phones. IEEE Pervasive Computing, 10(2), 12–15.CrossRef
17.
Chen, Y. (2008). Optimum number of secondary users in collaborative spectrum sensing considering resources usage efficiency. IEEE Communications Letters, 12(12), 877–879.CrossRef
18.
Sharma, G., & Sharma, R. (2018). Optimised fusion rule in cluster-based energy-efficient CSS for cognitive radio networks. International Journal of Electronics, 106, 741–755.CrossRef
19.
Sudhakaran, C., & Suganthi, M. (2019). Distributed algorithm to reduce contention in emergency situations by deploying cognitive radio ad-hoc controllers. IET Communications, 13(17), 2814–2819.CrossRef
20.
Sudhakaran, C., & Suganthi, M. (2018). A novel approach of user existence awareness using adaptive spectrum sensing controllers in emergency-based cognitive radio ad hoc networks. International Journal of Communication Systems, 31, e3705.CrossRef
21.
Lee, D.-J. (2014). Adaptive random access for cooperative spectrum sensing in cognitive radio networks. IEEE Transactions on Wireless Communications, 14(2), 831–840.CrossRef
Metadaten
Titel
MACBHA: Modified Adaptive Cluster-Based Heuristic Approach with Co-operative Spectrum Sensing in Wireless Sensor Networks
verfasst von
S. Allwin Devaraj
T. Aruna
Publikationsdatum
18.04.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07350-x

Weitere Artikel der Ausgabe 1/2020

Wireless Personal Communications 1/2020 Zur Ausgabe

OriginalPaper

Dual Wide Band Circularly Polarized Microstrip Patch Antenna with Offset Feed

OriginalPaper

A Stochastic Approximation Approach for Foresighted Task Scheduling in Cloud Computing

OriginalPaper

Design and Development of Single & Dual Resonant Frequency Antennas for Moisture Content Measurement

OriginalPaper

A Novel High Performance Routing Algorithm for Mobile Multi-hop Tunneling Networks

OriginalPaper

Reduced-Dimensional Polynomial Rooting-Based Multiple Parameter Estimation for Polarization Sensitive Coprime Arrays: A Full Array Extraction Perspective

OriginalPaper

Simulation and Energy Management in Smart Environment Using Ensemble of GA and PSO

Neuer Inhalt

    Bildnachweise