Skip to main content
Top
Published in: Wireless Networks 3/2020

14-11-2018

CARTEE: congestion avoidance with reliable transport and energy efficiency for multimedia applications in wireless sensor networks

Authors: Abderrezak Benyahia, Azeddine Bilami, Maamar Sedrati

Published in: Wireless Networks | Issue 3/2020

Log in

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

search-config
loading …

Abstract

Reliable data transport is an essential requirement for many multimedia applications in wireless sensor networks. Actually, an efficient transport protocol for these applications must take into account not only reliability and energy consumption factors but also memory occupancy and data delivery delay. Recently, many research works have been conducted in this area, however the proposed protocols treat some of these aspects and neglect others. Contrarily, in this paper we present a novel transport solution designed to provide 100% reliability without making light of other factors. Through different mechanisms, we attempt to reach this objective with congestion avoidance and good performances in terms of energy consumption, delivery delay, and memory storage. The proposed protocol, called congestion avoidance with reliable transmission and energy efficiency (CARTEE), attains these goals through several mechanisms, namely: fixed sliding window transmission, alternative implicit/explicit acknowledgement, a new congestion detection technique, and distributed transmission rate adjustment. To evaluate the proposed protocol, we have conducted simulations using ns-3. The obtained results confirm the efficiency and scalability of CARTEE and demonstrate that it outperforms the recent proposed transport protocols in terms of reliability, congestion avoidance, data cache occupancy, and latency.

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!

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!

Literature
1.
go back to reference Le, T., Hu, W., Corke, P., & Jha, S. (2009). ERTP: Energy-efficient and reliable transport protocol for data streaming in wireless sensor networks. Computer Communications, 32, 7–10.CrossRef Le, T., Hu, W., Corke, P., & Jha, S. (2009). ERTP: Energy-efficient and reliable transport protocol for data streaming in wireless sensor networks. Computer Communications, 32, 7–10.CrossRef
2.
go back to reference Fred, S., & Heidemann, J. (2003). RMST: Reliable data transport in sensor networks. In Proceedings of the First IEEE, 2003 IEEE international workshop on sensor network protocols and applications (pp. 102–112). Fred, S., & Heidemann, J. (2003). RMST: Reliable data transport in sensor networks. In Proceedings of the First IEEE, 2003 IEEE international workshop on sensor network protocols and applications (pp. 102–112).
3.
go back to reference Dargie, W., & Poellabauer, C. (2010). Fundamentals of wireless sensor networks. New York: Wiley.CrossRef Dargie, W., & Poellabauer, C. (2010). Fundamentals of wireless sensor networks. New York: Wiley.CrossRef
4.
go back to reference Pottie, G. J., & Kaiser, W. J. (2000). Wireless integrated network sensors. Communication of the ACM, 43(5), 51–58.CrossRef Pottie, G. J., & Kaiser, W. J. (2000). Wireless integrated network sensors. Communication of the ACM, 43(5), 51–58.CrossRef
5.
go back to reference Ian, F. A., & Mehamet, C. V. (2010). Wireless sensor networks. New York: Wiley. Ian, F. A., & Mehamet, C. V. (2010). Wireless sensor networks. New York: Wiley.
6.
go back to reference Wan, C., Campbell, A. T., & Krishnamurthy, L. (2002). PSFQ: A reliable transport protocol for wireless sensor networks. In Proceedings of the 1st ACM international workshop on wireless sensor networks and applications (pp. 1–11). Wan, C., Campbell, A. T., & Krishnamurthy, L. (2002). PSFQ: A reliable transport protocol for wireless sensor networks. In Proceedings of the 1st ACM international workshop on wireless sensor networks and applications (pp. 1–11).
7.
go back to reference Wan, C., Eisenman, Shane, B., & Campbell, A. T. (2003). CODA: Congestion detection and avoidance in sensor networks. In Proceedings of the 1st international conference on embedded networked sensor systems (pp. 266–279). Wan, C., Eisenman, Shane, B., & Campbell, A. T. (2003). CODA: Congestion detection and avoidance in sensor networks. In Proceedings of the 1st international conference on embedded networked sensor systems (pp. 266–279).
8.
go back to reference Sankarasubramaniam, Y., Akan, Ö. B., & Akyildiz, I. F. (2003). ESRT: Event-to-sink reliable transport in wireless sensor networks. In Proceedings of the 4th ACM international symposium on mobile ad hoc networking & computing, (pp. 177–188). Sankarasubramaniam, Y., Akan, Ö. B., & Akyildiz, I. F. (2003). ESRT: Event-to-sink reliable transport in wireless sensor networks. In Proceedings of the 4th ACM international symposium on mobile ad hoc networking & computing, (pp. 177–188).
9.
go back to reference Paek, J., & Govindan, R. (2007). RCRT: Rate-controlled reliable transport for wireless sensor networks. In Proceedings of the 5th international conference on embedded networked sensor systems, (pp. 305–319). Paek, J., & Govindan, R. (2007). RCRT: Rate-controlled reliable transport for wireless sensor networks. In Proceedings of the 5th international conference on embedded networked sensor systems, (pp. 305–319).
10.
go back to reference Riley, G. F., & Henderson, T. R. (2010). Modeling and tools for network simulation: The ns-3 network simulator (pp. 15–34). Berlin: Springer.CrossRef Riley, G. F., & Henderson, T. R. (2010). Modeling and tools for network simulation: The ns-3 network simulator (pp. 15–34). Berlin: Springer.CrossRef
11.
go back to reference Henderson, T. R., Roy, S., Floyd, S., & Riley, G. F. (2006). Ns-3 project goals. In Proceeding from the workshop on Ns-2: The IP network simulator. Henderson, T. R., Roy, S., Floyd, S., & Riley, G. F. (2006). Ns-3 project goals. In Proceeding from the workshop on Ns-2: The IP network simulator.
12.
go back to reference Bhisham, S., & Trilok, C. A. (2015). A hybrid and dynamic reliable transport protocol for wireless sensor networks. Computers & Electrical Engineering, 48, 298–311.CrossRef Bhisham, S., & Trilok, C. A. (2015). A hybrid and dynamic reliable transport protocol for wireless sensor networks. Computers & Electrical Engineering, 48, 298–311.CrossRef
13.
go back to reference Syed, A. S., Babar, N., & Imran, A. K. (2017). Congestion control algorithms in wireless sensor networks: Trends and opportunities. Journal of King Saud University–Computer and Information Sciences, 29(3), 236–245.CrossRef Syed, A. S., Babar, N., & Imran, A. K. (2017). Congestion control algorithms in wireless sensor networks: Trends and opportunities. Journal of King Saud University–Computer and Information Sciences, 29(3), 236–245.CrossRef
14.
go back to reference Muhammad, A. M., Winston, K. G. S., & Ian, W. (2015). Reliability in wireless sensor networks: A survey and challenges ahead. Computer Networks, 79, 166–187.CrossRef Muhammad, A. M., Winston, K. G. S., & Ian, W. (2015). Reliability in wireless sensor networks: A survey and challenges ahead. Computer Networks, 79, 166–187.CrossRef
15.
go back to reference Lee, J. H., & Jung, I. B. (2010). Reliable asynchronous image transfer protocol in wireless multimedia sensor networks. Sensors, 10(3), 1486–1510.CrossRef Lee, J. H., & Jung, I. B. (2010). Reliable asynchronous image transfer protocol in wireless multimedia sensor networks. Sensors, 10(3), 1486–1510.CrossRef
16.
go back to reference Mahfuzul, A. S., & Minh, P. D. (2013). Energy efficient image transmission in wireless multimedia sensor networks. IEEE Communications Letters, 17(6), 1084–1087.CrossRef Mahfuzul, A. S., & Minh, P. D. (2013). Energy efficient image transmission in wireless multimedia sensor networks. IEEE Communications Letters, 17(6), 1084–1087.CrossRef
17.
go back to reference Long, J., Dong, M., Ota, K., Liu, A., & Hai, S. (2015). Reliability guaranteed efficient data gathering in wireless sensor networks. IEEE Access, 3, 430–444.CrossRef Long, J., Dong, M., Ota, K., Liu, A., & Hai, S. (2015). Reliability guaranteed efficient data gathering in wireless sensor networks. IEEE Access, 3, 430–444.CrossRef
18.
go back to reference Ivan, L., William, S., & Xiaoming, F. (2009). Wireless multimedia sensor networks. In Guide to wireless sensor networks (pp. 561–582). Ivan, L., William, S., & Xiaoming, F. (2009). Wireless multimedia sensor networks. In Guide to wireless sensor networks (pp. 561–582).
19.
go back to reference Fahmy, H. M. A. (2016). WSNs applications, wireless sensor networks: Concepts, applications, experimentation and analysis (pp. 69–213). Singapore: Springer.CrossRef Fahmy, H. M. A. (2016). WSNs applications, wireless sensor networks: Concepts, applications, experimentation and analysis (pp. 69–213). Singapore: Springer.CrossRef
20.
go back to reference IEEE Std 802.15.4-2006 (Revision of IEEE Std 802.15.4-2003). (2006). IEEE standard for information technology–local and metropolitan area networks–specific requirements–Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (WPANs) (pp. 1–320). IEEE Std 802.15.4-2006 (Revision of IEEE Std 802.15.4-2003). (2006). IEEE standard for information technology–local and metropolitan area networks–specific requirements–Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (WPANs) (pp. 1–320).
21.
go back to reference Bonald, T., & Roberts, J. W. (2012). Internet and the erlang formula. ACM SIGCOMM Computer Communication Review, 42(1), 23–30.CrossRef Bonald, T., & Roberts, J. W. (2012). Internet and the erlang formula. ACM SIGCOMM Computer Communication Review, 42(1), 23–30.CrossRef
22.
go back to reference Dam, T. V., & Langendoen, K. (2003). An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 1st international conference on embedded networked sensor systems (pp. 171–180). Dam, T. V., & Langendoen, K. (2003). An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 1st international conference on embedded networked sensor systems (pp. 171–180).
23.
go back to reference Woo, A., Tong, T., & Culler, D. (2003). Taming the underlying challenges of reliable multihop routing in sensor networks. In Proceedings of the 1st international conference on embedded networked sensor systems (pp. 14–27). Woo, A., Tong, T., & Culler, D. (2003). Taming the underlying challenges of reliable multihop routing in sensor networks. In Proceedings of the 1st international conference on embedded networked sensor systems (pp. 14–27).
24.
go back to reference He, Q. M. (2014). Fundamentals of matrix-analytic methods. New York: Springer.CrossRef He, Q. M. (2014). Fundamentals of matrix-analytic methods. New York: Springer.CrossRef
26.
go back to reference Kemal, A., & Mohamed, Y. (2005). A survey on routing protocols for wireless sensor networks. Ad Hoc Networks, 3(3), 325–349.CrossRef Kemal, A., & Mohamed, Y. (2005). A survey on routing protocols for wireless sensor networks. Ad Hoc Networks, 3(3), 325–349.CrossRef
27.
go back to reference Goyal, D., & Tripathy, M. R. (2012). Routing protocols in wireless sensor networks: A survey. In Second international conference on advanced computing communication technologies (pp. 474–480). Goyal, D., & Tripathy, M. R. (2012). Routing protocols in wireless sensor networks: A survey. In Second international conference on advanced computing communication technologies (pp. 474–480).
28.
go back to reference Minakov, I., Passerone, R., Rizzardi, A., & Sicari, S. (2016). Routing behavior across WSN simulators: The AODV case study. IEEE World Conference on Factory Communication Systems, WFCS, 1–8. Minakov, I., Passerone, R., Rizzardi, A., & Sicari, S. (2016). Routing behavior across WSN simulators: The AODV case study. IEEE World Conference on Factory Communication Systems, WFCS, 1–8.
29.
go back to reference Perkins, C., Belding-Royer, E., & Das, S. (2003). Ad hoc on-demand distance vector (AODV) routing. United States: RFC Editor. Perkins, C., Belding-Royer, E., & Das, S. (2003). Ad hoc on-demand distance vector (AODV) routing. United States: RFC Editor.
Metadata
Title
CARTEE: congestion avoidance with reliable transport and energy efficiency for multimedia applications in wireless sensor networks
Authors
Abderrezak Benyahia
Azeddine Bilami
Maamar Sedrati
Publication date
14-11-2018
Publisher
Springer US
Published in
Wireless Networks / Issue 3/2020
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-018-1871-4

Other articles of this Issue 3/2020

Wireless Networks 3/2020 Go to the issue