Top

Wireless Personal Communications

Published in:

21-04-2018

Energy Conservation Using RR Algorithm in Dynamic Cluster Based WSN

Authors: Rabia Noor Enam, Najma Ismat, Muhammad Tahir

Published in: Wireless Personal Communications | Issue 4/2019

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

search-config

AI-assisted search

Off

Abstract

The energy consumption during the cluster head selection phase in a hierarchal and dynamic cluster based wireless sensor network had been considered insignificant in the previous research works. However, we have shown in our previous works that around 25% network energy is exhausted only in repeated cluster formation process of the network. We have proposed a round rotation (RR) protocol, which can be used in any dynamic cluster based network that can substantially conserve the overhead energy (the energy consumed in the random cluster head setup phase) of the network. It was shown that 20% of the total network energy consumed in data transmission can be conserved by minimizing the transmission of unnecessary control messages in the cluster setup phase. This paper also compares the overhead energy consumed in our proposed RR mechanism with three different mechanisms, (1) generic dynamic cluster based protocols, (2) centrally controlled dynamic cluster based protocols and (3) (re-clustering avoidance RCA) protocols. Results show that network lifetime can be improved by 25% using our proposed RR technique. The optimal value of cluster heads has also been calculated considering the network energy consumed in the different protocols.

previous article Stuck-at Fault Analytics of IoT Devices Using Knowledge-based Data Processing Strategy in Smart Grid

next article Impact of Front-Haul Delays in Non-ideal Cloud Radio Access Networks

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

Deosarkar, B. P., Yadav, N. S., & Yadav, R. P. (2008). Clusterhead selection in clustering algorithms for wireless sensor networks: A survey. In 2008 international conference on computing, communication and networking. ICCCN 2008 (pp. 1–8).

Enam, R. N., Imam, M., & Qureshi, R. (2012). Energy consumption in random cluster head selection phase of WSN. In International proceedings of computer science and information technology (pp. 38–44).

Daniel, R., & Rao, K. N. (2015). An optimal power conservation cluster based routing algorithm using fuzzy verdict mechanism for wireless sensor networks. In IEEE international conference on electrical, electronics, signals, communication and optimization (EESCO) (pp. 1–9).

Xie, D., Sun, Q., Zhou, Q., Qiu, Y., & Yuan, X. (2013). An efficient clustering protocol for wireless sensor networks based on localized game theoretical approach. International Journal of Distributed Sensor Networks. https://doi.org/10.1155/2013/476313.

Fawzy, A. E., Amer, A., Shokai, M., & Saad, W. (2017). Proposed intermittent cluster head selection scheme for efficient energy consumption in WSNs. In Wireless communications and networking conference, WCNC 2007 (pp. 275–283). IEEE.

Liang, Y., & Yu, H. (2005). Energy adaptive cluster-head selection for wireless sensor networks. In Sixth international conference on parallel and distributed computing, applications and technologies, 2005. PDCAT 2005. (pp. 634–638).

Gupta, S., & Dave, M. (2012). Real time approach for data placement using distributed cellular framework based clustering for large scale sensor networks (pp. 261–271). Berlin: Springer.

Xiangning, F., & Yulin, S. (2007). Improvement on LEACH protocol of wireless sensor network. In: International conference on sensor technologies and applications, 2007. SensorComm 2007 (pp. 260–264).

Jang, Y. J., Kim, K. T., & Youn, Y. H. (2007). Improvement on LEACH protocol of wireless sensor network. In International conference on sensor technologies and applications, 2007. SensorComm 2007 (pp. 260–264).

10.

Rajiullah, M., Shimamoto, S., & Youn, Y. H. (2007). An energy-aware periodical data gathering protocol using deterministic clustering in wireless sensor networks (WSN). In Wireless communications and networking conference, 2007. WCNC 2007 (pp. 3014–3018). IEEE.

11.

Liu, C.-M., Lee, C.-H., & Wang, L.-C. (2007). HEED: A hybrid, distributed clustering algorithms for data-gathering in wireless mobile sensor networks. Journal of Parallel and Distributed Computing, 67, 1187–1200.CrossRefMATH

12.

Heinzelman, W. B. (2000). Application-specific protocol architectures for wireless networks. Ph.D. thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology.

13.

Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad-hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4), 366–379.CrossRef

14.

Wang, W., Liu, C., Guihai, C., & Xiaomin, W. (2009). An energy-aware routing protocol in wireless sensor networks. Sensors, 9(1), 445–462.CrossRef

15.

Ming, L., Jiannong, Z., Hu, X., Xiaomin Wang, B., & Guo, L. (2011). CEDCAP: Cluster-based energy efficient data collecting and aggregation. Research Journal of Information Technology, 9(1), 445–462.

16.

Muruganathan, L., Ma, D. C. F., Bhasin, R. I., & Fapojuwo, A. (2005). CA centralized energy-efficient routing protocol for wireless sensor networks. IEEE Communications Magazine, 43(3), 8–13.CrossRef

17.

Merabtine, M., Djenouri, D., Zegour, D.-E., Lamini, L., & Bellal, B. (2017). Proposed intermittent cluster head selection scheme for efficient energy consumption in WSNs. In Wireless communications and networking conference, WCNC 2007. (pp. 1–6). IEEE.

18.

Merabtine, M., Djenouri, D., Zegour, D-E., Lamini, L., & Bellal, B. (2007). An efficient ad-hoc routing using a hybrid clustering method in a wireless sensor network. In Wireless and mobile computing, networking and communications, 2007. WiMOB 2007 (pp. 60–60).

19.

Kumar, A., Kumar, V., & Chand, N. (2012). Energy efficient clustering and cluster head rotation scheme for wireless sensor networks. International Journal of Advanced Computer Science and Applications (IJACSA), 3(5), 129–136.MathSciNet

20.

Tillapart, P., Thammarojsakul, S., Thumthawatworn, T., Lamini, & Santiprabhob, P. (2005). An approach to hybrid clustering and routing in wireless sensor networks. In 2005 IEEE Aerospace conference (pp. 1–8).

21.

Raghunathan, V., Schurgers, C., Sung, P., & Srivastava, M. B. (2002). Energy-aware wireless microsensor networks. IEEE Signal Processing Magazine, 19(2), 40–50.CrossRef

22.

Lazarou, G. Y., Li, J., & Picone, J. (2007). A cluster-based power-efficient MAC scheme for event-driven sensing applications. Ad Hoc Networks, 5(7), 1017–1030.CrossRef

23.

Dargie, W., & Poellabauer, C. (2010). Fundamentals of wireless sensor networks: Theory and practice. Berlin: Wiley.CrossRef

Title: Energy Conservation Using RR Algorithm in Dynamic Cluster Based WSN
Authors: Rabia Noor Enam
Najma Ismat
Muhammad Tahir
Publication date: 21-04-2018
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 4/2019
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-018-5741-2

Springer Professional

Abstract

Please log in to get access to your license.

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

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 4/2019

Concatenated LDPC-TCM Codes for Better Performance of OFDM-FSO System Using Gamma–Gamma Fading Model

Energy Efficient Data Encryption Techniques in Smartphones

ECG-Signal Based Secret Key Generation (ESKG) Scheme for WBAN and Hardware Implementation

Semiconductor Laser in Distributed Optical Feedback Regime

SNR- Versus Rate-Based Proportional Fair Scheduling in Rayleigh Fading Channels

Hybrid Anomaly Detection by Using Clustering for Wireless Sensor Network