Skip to main content
Erschienen in: Wireless Networks 4/2021

24.04.2021 | Original paper

DLM technique for QoS improvement in MANETS

verfasst von: G. N. Vivekananda, B. Muni Lavanya, P. Dileep Kumar Reddy

Erschienen in: Wireless Networks | Ausgabe 4/2021

Einloggen

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

search-config
loading …

Abstract

Wireless networks are used extensively in communication technologies. From Tesla to date researchers, many are working on wireless data transmission techniques and technologies. Despite the immense progressions over the past decade, there are precise hurdles that the industry endures to face. Bandwidth restrictions, latency problems, and device compatibility issues prevent the viewer from meeting seamless data transmissions. Many devices used for communication are used with the wireless interface and are proficient in transmitting data efficiently to the communication range. The growth in data communication requirements increases the network traffic and results in a network bottleneck. There are more challenges for Mobile Ad hoc Networks (MANETs) due to the additional overhead of resource constraints. Congestion leads to depletion of the node's energy, deterioration of network performance, and increased network latency and packet loss. As a result, energy-efficient and reliable state-of-the-art congestion control protocols must be designed to detect, notify and control congestion effectively. To minimize the packet loss in MANETs using Transmission Control Protocol (TCP), we proposed a data loss minimization technique (DLMT). Results show that enhanced DLMT outperforms by 18% compared to state-of-the-art proven congestion control mechanisms. DLMT improves the Quality of Service (QoS) constraints and improves performance by reducing the delay in better throughput, which can be seen by analyzing experimental results. The proposed coordination process's scalability and robustness are shown in good agreement with simulation results and analytic results for the stochastic model.

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

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!

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!

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!

Literatur
1.
Zurück zum Zitat Vivekananda, G. N., & Reddy, P. C. (2018). Performance evaluation of TCP, UDP, and SCTP in MANETS. ARPN Journal of Engineering and Applied Sciences, 13(9), 3087–3092 Vivekananda, G. N., & Reddy, P. C. (2018). Performance evaluation of TCP, UDP, and SCTP in MANETS. ARPN Journal of Engineering and Applied Sciences, 13(9), 3087–3092
2.
Zurück zum Zitat Vivekananda GN, Reddy PC (2017) Critical Analysis of Congestion Control for the Future Networks In Emerging Trends in Electrical. Communications, and Information Technologies. Springer, Singapore Vivekananda GN, Reddy PC (2017) Critical Analysis of Congestion Control for the Future Networks In Emerging Trends in Electrical. Communications, and Information Technologies. Springer, Singapore
3.
Zurück zum Zitat Ren, F., He, T., Das, S. K., & Lin, C. (2011). Traffic-aware dynamic routing to alleviate congestion in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(9), 1585–1599CrossRef Ren, F., He, T., Das, S. K., & Lin, C. (2011). Traffic-aware dynamic routing to alleviate congestion in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(9), 1585–1599CrossRef
4.
Zurück zum Zitat Basu A, Lin A, Ramanathan S (2003) Routing using potentials: a dynamic traffic-aware routing algorithm. In Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications, ACM, 37–48 Basu A, Lin A, Ramanathan S (2003) Routing using potentials: a dynamic traffic-aware routing algorithm. In Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications, ACM, 37–48
5.
Zurück zum Zitat Tang, D., Li, T., & Ren, J. (2017). Congestion-aware routing scheme based on traffic information in sensor networks. Ad Hoc and Sensor Wireless Networks, 35(3–4), 281–300 Tang, D., Li, T., & Ren, J. (2017). Congestion-aware routing scheme based on traffic information in sensor networks. Ad Hoc and Sensor Wireless Networks, 35(3–4), 281–300
6.
Zurück zum Zitat Sovaldi SR, Moghaddam MH (2014) Fuzzy TADR: A fuzzy extension to TADR algorithm for congestion control in wireless sensor network. In2014 Iranian Conference on Intelligent Systems (ICIS), IEEE, 1–5. Sovaldi SR, Moghaddam MH (2014) Fuzzy TADR: A fuzzy extension to TADR algorithm for congestion control in wireless sensor network. In2014 Iranian Conference on Intelligent Systems (ICIS), IEEE, 1–5.
7.
Zurück zum Zitat Lin, Q. M., Wang, R. C., Jian, G. U., & Sun, L. J. (2011). Novel congestion control approach in wireless multimedia sensor networks. The Journal of China Universities of Posts and Telecommunications, 18(2), 1–8CrossRef Lin, Q. M., Wang, R. C., Jian, G. U., & Sun, L. J. (2011). Novel congestion control approach in wireless multimedia sensor networks. The Journal of China Universities of Posts and Telecommunications, 18(2), 1–8CrossRef
8.
Zurück zum Zitat Sangwan, Y. S. (2015). To alleviate congestion in TADR by using combined dominating set technique. Wireless Sensor Networks, 7(2), 5–11 Sangwan, Y. S. (2015). To alleviate congestion in TADR by using combined dominating set technique. Wireless Sensor Networks, 7(2), 5–11
9.
Zurück zum Zitat Ahuja, R. K., Magnanti, T. L., Orlin, J. B., & Weihe, K. (1995). Network flows: Theory, algorithms and applications. ZOR-Methods and Models of Operations Research, 41(3), 252–254 Ahuja, R. K., Magnanti, T. L., Orlin, J. B., & Weihe, K. (1995). Network flows: Theory, algorithms and applications. ZOR-Methods and Models of Operations Research, 41(3), 252–254
10.
Zurück zum Zitat Anderson, E. J., Anderson, T. E., Gribble, S. D., Karlin, A. R., & Savage, S. (2002). A quantitative evaluation of traffic-aware routing strategies. ACM SIGCOMM Computer Communication Review, 32(1), 67–67CrossRef Anderson, E. J., Anderson, T. E., Gribble, S. D., Karlin, A. R., & Savage, S. (2002). A quantitative evaluation of traffic-aware routing strategies. ACM SIGCOMM Computer Communication Review, 32(1), 67–67CrossRef
11.
Zurück zum Zitat Stevens WR, Wright, GR (1995) TCP/IP illustrated: the implementation. Addison-Wesley Longman Publishing Co., Inc Stevens WR, Wright, GR (1995) TCP/IP illustrated: the implementation. Addison-Wesley Longman Publishing Co., Inc
12.
Zurück zum Zitat Shah, S. A., Nazir, B., & Khan, I. A. (2017). Congestion control algorithms in wireless sensor networks: Trends and opportunities. Journal of King Saud University-Computer and Information Sciences, 29(3), 236–245CrossRef Shah, S. A., Nazir, B., & Khan, I. A. (2017). Congestion control algorithms in wireless sensor networks: Trends and opportunities. Journal of King Saud University-Computer and Information Sciences, 29(3), 236–245CrossRef
13.
Zurück zum Zitat Tan D, Kim DS (2014) Dynamic traffic-aware routing algorithm for multi-sink wireless sensor networks. Wireless Networks (10220038), 20(6) Tan D, Kim DS (2014) Dynamic traffic-aware routing algorithm for multi-sink wireless sensor networks. Wireless Networks (10220038), 20(6)
14.
Zurück zum Zitat Tychogiorgos G, Gkelias A, Leung KK (2012) Utility-proportional fairness in wireless networks. In: 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications-(PIMRC), 839–844. Tychogiorgos G, Gkelias A, Leung KK (2012) Utility-proportional fairness in wireless networks. In: 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications-(PIMRC), 839–844.
15.
Zurück zum Zitat Vivekananda, G. N., & Ilknur, A. (2020). A congestion avoidance mechanism in multimedia transmission over MANET using SCTP multi-streaming. Multimedia Tools and Applications, 79(23), 16823–16844CrossRef Vivekananda, G. N., & Ilknur, A. (2020). A congestion avoidance mechanism in multimedia transmission over MANET using SCTP multi-streaming. Multimedia Tools and Applications, 79(23), 16823–16844CrossRef
16.
Zurück zum Zitat Vivekananda, G. N., & Reddy, P. C. (2019). Packet loss minimising approach based on traffic prediction for multi-streaming communication over MANET. International Journal of Wireless and Mobile Computing, 17(1), 1–11 Vivekananda, G. N., & Reddy, P. C. (2019). Packet loss minimising approach based on traffic prediction for multi-streaming communication over MANET. International Journal of Wireless and Mobile Computing, 17(1), 1–11
17.
Zurück zum Zitat Bajaj, L., Takai, M., Ahuja, R., Tang, K., Bagrodia, R., & Gerla, M. (1999). Glomosim: A scalable network simulation environment. UCLA computer science department technical report, 990027(1999), 213 Bajaj, L., Takai, M., Ahuja, R., Tang, K., Bagrodia, R., & Gerla, M. (1999). Glomosim: A scalable network simulation environment. UCLA computer science department technical report, 990027(1999), 213
18.
Zurück zum Zitat Kastrinogiannis T, Tsiropoulou EE & Papavassiliou S (2008) Utility-based uplink power control in CDMA wireless networks with real-time services. In: International Conference on Ad-Hoc Networks and Wireless, Springer, Berlin, Heidelberg, 307–320. Kastrinogiannis T, Tsiropoulou EE & Papavassiliou S (2008) Utility-based uplink power control in CDMA wireless networks with real-time services. In: International Conference on Ad-Hoc Networks and Wireless, Springer, Berlin, Heidelberg, 307–320.
19.
Zurück zum Zitat Huang, X. L., Ma, X., & Hu, F. (2018). Machine learning and intelligent communications. Mobile Networks and Applications, 23(1), 68–70CrossRef Huang, X. L., Ma, X., & Hu, F. (2018). Machine learning and intelligent communications. Mobile Networks and Applications, 23(1), 68–70CrossRef
Metadaten
Titel
DLM technique for QoS improvement in MANETS
verfasst von
G. N. Vivekananda
B. Muni Lavanya
P. Dileep Kumar Reddy
Publikationsdatum
24.04.2021
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 4/2021
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-021-02622-1

Weitere Artikel der Ausgabe 4/2021

Wireless Networks 4/2021 Zur Ausgabe

Neuer Inhalt