Data Fusion and Data Aggregation/Summarization Techniques in WSNs: A Review

sensor networks are energy constrained networks. Energy consumption in these networks can be reduced by processing the raw data at individual nodes through the application of suitable aggregation technique so that there is minimum amount of data that need to be transmitted towards the sink. The data aggregation functions that are applied should adhere to correctness, and should be computationally less complex considering the capabilities of the sensor nodes. In this paper, a brief survey on the present aggregation protocols and their impact, and some of the techniques that are applied at individual sensor nodes to reduce sensed data are presented.

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

[2]  D. Singhal,et al.  Simple Median based information fusion in wireless sensor network , 2012, 2012 International Conference on Computer Communication and Informatics.

[3]  Davide Brunelli,et al.  Wireless Sensor Networks , 2012, Lecture Notes in Computer Science.

[4]  Wendi B. Heinzelman,et al.  Negotiation-Based Protocols for Disseminating Information in Wireless Sensor Networks , 2002, Wirel. Networks.

[5]  Wen-Tsai Sung,et al.  Enhance the efficient of WSN data fusion by neural networks training process , 2010, 2010 International Symposium on Computer, Communication, Control and Automation (3CA).

[6]  Jacques M. Bahi,et al.  Data aggregation for periodic sensor networks using sets similarity functions , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[7]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[8]  N. Patil,et al.  Data Aggregation in Wireless Sensor Network , 2010 .

[9]  Cauligi S. Raghavendra,et al.  PEGASIS: Power-efficient gathering in sensor information systems , 2002, Proceedings, IEEE Aerospace Conference.

[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]  Krishna M. Sivalingam,et al.  Data gathering in sensor networks using the energy*delay metric , 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.

[12]  Dongyan Xu,et al.  Robust computation of aggregates in wireless sensor networks: distributed randomized algorithms and analysis , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[13]  Magdy Bayoumi,et al.  Data Fusion in WSN , 2012 .

[14]  T. C. Aseri,et al.  EECHDA: Energy Efficient Clustering Hierarchy and Data Accumulation For Sensor Networks , 2013 .

[15]  D. Puccinelli,et al.  Wireless sensor networks: applications and challenges of ubiquitous sensing , 2005, IEEE Circuits and Systems Magazine.

[16]  Wei Zhang,et al.  GROUP: A Grid-Clustering Routing Protocol for Wireless Sensor Networks. , 2006, 2006 International Conference on Wireless Communications, Networking and Mobile Computing.

[17]  Yun Liu,et al.  Data Fusion in Wireless Sensor Networks , 2009, 2009 Second International Symposium on Electronic Commerce and Security.

[18]  Gregory J. Pottie,et al.  Wireless sensor networks , 1998, 1998 Information Theory Workshop (Cat. No.98EX131).

[19]  Arun Bakshi,et al.  Wireless Sensor Networks: Applications and Issues , 2011 .

[20]  Li Li,et al.  The analysis of data fusion energy consumption in WSN , 2011, 2011 International Conference on System science, Engineering design and Manufacturing informatization.

[21]  Deborah Estrin,et al.  The impact of data aggregation in wireless sensor networks , 2002, Proceedings 22nd International Conference on Distributed Computing Systems Workshops.

[22]  E. Baburaj,et al.  An analysis on data aggregation in Wireless Sensor Networks , 2012, 2012 International Conference on Radar, Communication and Computing (ICRCC).

[23]  Howard E. Michel,et al.  Middleware/API and data fusion in Wireless Sensor Networks , 2011, 2011 IEEE Long Island Systems, Applications and Technology Conference.

[24]  Robin Braun,et al.  On Wireless Sensor Networks: Architectures, Protocols, Applications, and Management , 2007 .

[25]  S. Nithyakalyani,et al.  Data aggregation in wireless sensor network using node clustering algorithms — A comparative study , 2013, 2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES.

[26]  W. Hardt,et al.  Data aggregation and data fusion techniques in WSN/SANET topologies - a critical discussion , 2012, TENCON 2012 IEEE Region 10 Conference.

[27]  Pramod K. Varshney,et al.  Data-aggregation techniques in sensor networks: a survey , 2006, IEEE Communications Surveys & Tutorials.

[28]  Qiong Liu,et al.  A data fusion using un-even clustering for WSN , 2011 .

[29]  Wei Hong,et al.  Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks , 2022 .

[30]  Magdy A. Bayoumi,et al.  Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks , 2012, Lecture Notes in Electrical Engineering.

[31]  Deborah Estrin,et al.  Modelling Data-Centric Routing in Wireless Sensor Networks , 2002 .

[32]  Pranav B. Lapsiwala,et al.  Data Aggregation in Wireless Sensor Network , 2012 .

[33]  Danco Davcev,et al.  Application of wavelet neural-networks in wireless sensor networks , 2005, Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Network.

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

[35]  Yi-hua Zhu,et al.  An energy-efficient data gathering algorithm to prolong lifetime of wireless sensor networks , 2010, Comput. Commun..

[36]  Wendi Heinzelman,et al.  Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks , 2022 .