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 1/2019

10.10.2018

Performance of a Partial Discrete Wavelet Transform Based Path Merging Compression Technique for Wireless Multimedia Sensor Networks

verfasst von: Rajib Banerjee, Sibashis Chatterjee, Sipra Das Bit

Erschienen in: Wireless Personal Communications | Ausgabe 1/2019

Einloggen

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

search-config
loading …

Abstract

Wireless multimedia sensor network is well-known for its constraints in the field of multimedia processing in terms of processing power, bandwidth etc. Data processing is always a challenge in such network. Exploiting low overhead compression accompanied by proper routing and aggregation is a challenge for such energy starved multihop network. In this paper, we propose an efficient path merging protocol for wireless multimedia sensor network with randomly deployed nodes. Any partial discrete wavelet transform based compression technique can be plugged into this path merging protocol to reduce redundant data transmission in a significant manner by appropriate aggregation of data packets from merging paths. The design feasibility and the simulation results prove supremacy of our protocol over state-of-the-art competing schemes in terms of maintaining a trade-off between energy consumption and reconstruction quality.
Vorheriger Artikel A New Modified Dropping Function for Congested AQM Networks
Nächster Artikel A PSO Based Routing with Novel Fitness Function for Improving Lifetime of WSNs

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.
Kucukbay, E. S., Sert, M., & Yazici, A. (2017). Use of acoustic sensor data to detect objects in surveillance wireless sensor networks. In Proceedings of IEEE 21st international conference on control systems and computer science (CSCS), (pp. 201–212).
2.
Jaigirdar, T. F., & Islam, M. M. (2016). A new cost-effective approach for battlefield surveillance in wireless sensor networks. In Proceedings of IEEE international conference on network systems and security (NSysS), (pp. 1–6).
3.
Bal, M. (2014). An industrial wireless sensor networks framework for production monitoring. In Proceedings of IEEE 23rd international symposium on industrial electronics (ISIE), (pp. 1142–1147).
4.
Wibisono, G., Saktiaji, P. G., & Ibrahim, I. (2017). Techno economic analysis of smart meter reading implementation in PLN Bali using LoRa technology. In Proceedings of IEEE international conference on broadband communication, wireless sensors and powering (BCWSP), (pp. 1–6).
5.
Akyildiz, F. I., Melodia, T., & Chowdhury, R. K. (2007). A survey on wireless multimedia sensor networks. Computer Networks, 51(4), 921–960.CrossRef
6.
Akyildiz, F. I., Melodia, T., & Chowdhury, R. K. (2008). Wireless multimedia sensor networks: Applications and test beds. IEEE Journals and Magazine, 96(10), 1588–1605.
7.
Chowdhury, R. A., Chatterjee, T., & DasBit, S. (2014). LOCHA: A light-weight one-way cryptographic hash algorithm for wireless sensor network. Procedia Computer Science, 32, 497–504.CrossRef
8.
Banerjee, R., Chatterjee, S., & Das Bit, S. (2015). An energy saving audio compression scheme for wireless multimedia sensor networks using spatio-temporal partial discrete wavelet transform. Computers and Electrical Engineering, 48, 389–404.CrossRef
9.
Banerjee, R., & Das Bit, S. (2015). Low-overhead image compression in WMSN for post disaster situation analysis. In Proceedings of IEEE international conference on advanced networks and telecommunication systems (ANTS), (pp. 1–6).
10.
Randhawa, S., & Jain, S. (2017). Data aggregation in wireless sensor networks: Previous research, current status and future directions. Wireless Personal Communications, 97(3), 3355–3425.CrossRef
11.
Eswaran, S., Edwards, J., Misra, A., & La Porta, F. T. (2012). Adaptive in-network processing for bandwidth and energy constrained mission-oriented multihop wireless networks. IEEE Transactions on Mobile Computing, 11(9), 1484–1498.CrossRef
12.
Erratt, N., & Liang, Y. (2011). Compressed data-stream protocol—An energy-efficient compressed data-stream protocol for wireless sensor networks. IET Communications, 15(18), 2673–2683.MathSciNetCrossRefMATH
13.
Xiang, L., Luo, J., & Rosenberg, C. (2013). Compressed data aggregation. Energy-efficient and high-fidelity data collection. IEEE/ACM Transactions on Networking, 21(6), 1722–1735.CrossRef
14.
Narang, K. S., Shen, G., & Ortega, A. (2010). Unidirectional graph-based wavelet transforms for efficient data gathering in sensor networks. In Proceedings of IEEE international conference on acoustics, speech and signal processing (ICASSP), (pp. 2902–2905).
15.
Shen, G., & Ortega, A. (2008). Optimized distributed 2D transforms for irregularly sampled sensor network grid using wavelet lifting. In Proceedings of IEEE international conference on acoustics, speech and signal processing (ICASSP), (pp. 2513–2516).
16.
17.
18.
19.
Douglas, S. (2009). Audio engineering explained. Philadelphia: Taylor Francis.
20.
Huber, R., Sommer, P., & Wattenhofer, R. (2011). Demo abstract: Debugging wireless sensor network simulations with yeti and cooja. In Proceedings of IEEE 10th international conference on information processing in sensor networks (IPSN), (pp. 141–142).
21.
Osterlind, F., Dunkels, A., Eriksson, J., Finne, N., & Voigt, T. (2006). Cross-level sensor network simulation with cooja. In Proceedings of IEEE 31st international conference on local computer networks (LCN), (pp. 641–648).
22.
Metadaten
Titel
Performance of a Partial Discrete Wavelet Transform Based Path Merging Compression Technique for Wireless Multimedia Sensor Networks
verfasst von
Rajib Banerjee
Sibashis Chatterjee
Sipra Das Bit
Publikationsdatum
10.10.2018
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-6008-7

Weitere Artikel der Ausgabe 1/2019

Wireless Personal Communications 1/2019 Zur Ausgabe

OriginalPaper

Robust Energy-Efficient Downlink Resource Allocation in Heterogeneous Networks with Outage Probability Constraint

OriginalPaper

A Proactive Multi Stage Secret Sharing Scheme for Any Given Access Structure

OriginalPaper

Differentially Private Location Privacy Preservation in Wireless Sensor Networks

OriginalPaper

A New Modified Dropping Function for Congested AQM Networks

OriginalPaper

A PSO Based Routing with Novel Fitness Function for Improving Lifetime of WSNs

OriginalPaper

Sensitivity Analysis of a Class of Iris Localization Algorithms to Blurring Effect

Neuer Inhalt

    Bildnachweise