Abstract
Quality of service provisioning for real-time data such as audio and video in large Internet of Things networks is considered to be a challenging issue. In order to maintain desirable service quality of the sensed data from the environment, data aggregation-based schemes are highly used. Such schemes gather and aggregate data packets in an efficient manner so as to reduce power consumption, network overhead, and traffic congestion, and to increase network lifetime, data accuracy, etc. In this paper, a hybrid Quality of service-Aware Data Aggregation (QADA) scheme is proposed. The proposed scheme combines some of the interesting features of the cluster and tree-based data aggregation schemes while addressing some of their important limitations. Simulation results show that QADA outperforms cluster and tree-based aggregation schemes in terms of power consumption, network lifetime, available bandwidth utilization, and transmission latency.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Azharuddin M, Kuila P, Jana PK (2015) Energy efficient fault tolerant clustering and routing algorithms for wireless sensor networks. Comput Electr Eng 41:177–190
Bahi JM, Makhoul A, Medlej M (2014) A two tiers data aggregation scheme for periodic sensor networks. Ad-hoc & Sensor Wireless Networks 21(1-2):77–100
Geetha V, Kallapur PV, Tellajeera S (2012) Clustering in wireless sensor networks: performance comparison of LEACH & LEACH-C protocols using NS2. Procedia Technol 4:163–170
Heinzelman WB, Chandrakasan AP, Balakrishnan H (2002) An application-specific protocol architecture for wireless microsensor networks. IEEE Trans Wirel Commun 1(4):660–670
Heinzelman WR, Chandrakasan A, Balakrishnan H (2000) Energy-efficient communication protocol for wireless microsensor networks. In: 33rd annual Hawaii international conference on System sciences, IEEE, pp 10–19
Karthikeyan B, Velumani M, Kumar R, Inabathini S (2015) Analysis of data aggregation in wireless sensor network. In: 2nd international conference on electronics and communication systems (ICECS), pp 1435–1439
Kaur S, Gangwar R (2016) A study of tree based data aggregation techniques for WSNs. International Journal of Database Theory and Application 9(1):109–118
Keswani K, Bhaskar A (2016) Wireless sensor networks: a survey. Futuristic Trends in Engineering, Science, Humanities, and Technology (FTESHT) pp 1–7
Mantri D, Prasad NR, Prasad R, Ohmori S (2012) Two tier cluster based data aggregation (TTCDA) in wireless sensor network. In: International conference on advanced networks and telecommuncations systems (ANTS), IEEE, pp 117–122
Meng L, Zhang H, Zou Y (2011) Data aggregation transfer protocol based on clustering and data prediction in wireless sensor networks. In: 7th international conference on wireless communications, networking and mobile computing (WiCOM), IEEE, pp 1–5
Misra G, Kumar V, Agarwal A, Agarwal K (2016) Internet of things (IoT) technological analysis and survey on vision, concepts, challenges, innovation directions, technologies, and applications. American Journal of Electrical and Electronic Engineering 4(1):23–32
NS (2009) Network simulator-NS2. http://www.isi.edu/nsnam/ns
Pandey V (2010) A review on data aggregation techniques in wireless sensor network. J Electron Electr Eng 1(2):1–8
Pantazis N, Nikolidakis S, Vergados D (2013) Energy-efficient routing protocols in wireless sensor networks: a survey. IEEE Commun Surv Tutorials 15(2):551–591
Rahman H, Ahmed N, Hussain MI (2016) A hybrid data aggregation scheme for provisioning Quality of Service (QoS) in Internet of Things (IoT). In: 2016 cloudification of the internet of things (CIoT), pp 1–5
Rajasekaran A, Nagarajan V (2016) Improved cluster head selection for energy efficient data aggregation in sensor networks. Int J Appl Eng Res 11(2):1379–1385
Ray A, De D (2012) Data aggregation techniques in wireless sensor network: a survey. International Journal of Engineering Innovation and Research 1(2):81–92
Saini S, Singh RS, Gupta V (2010) Analysis of energy efficient routing protocols in wireless sensor networks. International Journal of Computer Science and Communications 1(1):113–118
Satapathy SS, Sarma N (2006) TREEPSI: tree based energy efficient protocol for sensor information. In: International conference on wireless and optical communications networks, IFIP, pp 4–7
Sirsikar S, Anavatti S (2015) Issues of data aggregation methods in wireless sensor network: a survey. Procedia Computer Science 49:194–201
Solis I, Obraczka K (2004) The impact of timing in data aggregation for sensor networks. In: International conference on communications, IEEE, vol 6, pp 3640–3645
Younis O, Fahmy S (2004) HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans Mob Comput 3(4):366–379
Zeng D, Guo S, Cheng Z (2011) The web of things: a survey. J Commun 6(6):424–438
Funding
This work is supported by the project titled “QoS Provisioning in Internet of Things (IoT)” (Ref. No. 13(7)/2015-CC&BT dated:28/09/2015) funded by Ministry of Electronics & Information Technology (MeitY)(CC & BT), Govt. of India.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Rahman, H., Ahmed, N. & Hussain, M.I. A QoS-aware hybrid data aggregation scheme for Internet of Things. Ann. Telecommun. 73, 475–486 (2018). https://doi.org/10.1007/s12243-018-0646-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12243-018-0646-3