A QoS-aware hybrid data aggregation scheme for Internet of Things

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.

[1]  Ramjee Prasad,et al.  Two Tier Cluster based Data Aggregation (TTCDA) in Wireless Sensor Network , 2012, 2012 IEEE International Conference on Advanced Networks and Telecommunciations Systems (ANTS).

[2]  Arun Agarwal,et al.  Internet of Things (IoT) – A Technological Analysis and Survey on Vision, Concepts, Challenges, Innovation Directions, Technologies, and Applications ( An Upcoming or Future Generation Computer Communication System Technology ) , 2016 .

[3]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[4]  Sandeep Kaur,et al.  A Study of Tree Based Data Aggregation Techniques for WSNs , 2016 .

[5]  Jacques M. Bahi,et al.  A Two Tiers Data Aggregation Scheme for Periodic Sensor Networks , 2014, Ad Hoc Sens. Wirel. Networks.

[6]  Rogelio Miguel Hernández Quintero,et al.  Network Simulator - NS2 , 2013 .

[7]  Dimitrios D. Vergados,et al.  Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[8]  Song Guo,et al.  The Web of Things: A Survey (Invited Paper) , 2011, J. Commun..

[9]  Prasanta K. Jana,et al.  Energy efficient fault tolerant clustering and routing algorithms for wireless sensor networks , 2015, Comput. Electr. Eng..

[10]  B. Karthikeyan,et al.  Analysis of data aggregation in wireless sensor network , 2015, 2015 2nd International Conference on Electronics and Communication Systems (ICECS).

[11]  Sanjeev Saini,et al.  Analysis of Energy Efficient Routing Protocols in Wireless Sensor Networks , 2010 .

[12]  Katia Obraczka,et al.  The impact of timing in data aggregation for sensor networks , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[13]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[14]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[15]  Debashis De,et al.  Data Aggregation Techniques in Wireless Sensor Network: A Survey , 2012 .

[16]  Hafizur Rahman,et al.  A hybrid data aggregation scheme for provisioning Quality of Service (QoS) in Internet of Things (IoT) , 2016, 2016 Cloudification of the Internet of Things (CIoT).

[17]  Pranesh V. Kallapur,et al.  Clustering in Wireless Sensor Networks: Performance Comparison of LEACH & LEACH-C Protocols Using NS2 , 2012 .

[18]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[19]  R.S.D. Wahidabanu,et al.  Improved Cluster Head Selection for Efficient Data Aggregation in Sensor Networks , 2014 .

[20]  Narottam Chand,et al.  A review on data aggregation techniques in wireless sensor network , 2010 .

[21]  Sumedha Sirsikar,et al.  Issues of Data Aggregation Methods in Wireless Sensor Network: A Survey☆ , 2015 .

[22]  Yun Zou,et al.  A Data Aggregation Transfer Protocol Based on Clustering and Data Prediction in Wireless Sensor Networks , 2011, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing.