Analysis of Data Aggregation Techniques in WSN

Wireless sensor networks (WSNs) produce a huge amount of application-specific data. These data need to be processed and transmitted to base station, which is a costly affair. Since WSN nodes are resource-constrained, efficient data processing and conserving energy are prime challenges. It has been observed that most of the data sensed by the sensors are redundant in nature. If data redundancy can be reduced, then it will lead to an increased lifetime of the network and reduced latency. In this paper, we surveyed different techniques for reducing redundancy in data, and in particular through aggregation. We have discussed data aggregation taxonomy, challenges and critically analysed aggregation techniques proposed in the last 10 years.

[1]  Patrick Drane,et al.  Discrete Radio Power Level Consumption Model in Wireless Sensor Networks , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.

[2]  L. Sudershan Reddy,et al.  An Energy Efficient Data Gathering Scheme in Wireless Sensor Networks Using Adaptive Optimization Algorithm , 2018, Journal of Computational and Theoretical Nanoscience.

[3]  Krste Asanovic,et al.  Energy-aware lossless data compression , 2006, TOCS.

[4]  Yuanyuan Yang,et al.  Data Gathering in Wireless Sensor Networks with Multiple Mobile Collectors and SDMA Technique Sensor Networks , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[5]  Abbas Hijazi,et al.  Tree-based data aggregation approach in wireless sensor network using fitting functions , 2016, 2016 Sixth International Conference on Digital Information Processing and Communications (ICDIPC).

[6]  Kaijun Ren,et al.  Transmission reduction based on order compression of compound aggregate data over wireless sensor networks , 2011, 2011 6th International Conference on Pervasive Computing and Applications.

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

[8]  Tao Yang,et al.  Energy consumption analysis and energy management strategy for sensor node , 2008, 2008 International Conference on Information and Automation.

[9]  Fei Yuan,et al.  Data Density Correlation Degree Clustering Method for Data Aggregation in WSN , 2014, IEEE Sensors Journal.

[10]  Lutz H.-J. Lampe,et al.  Energy Efficient Distributed Filtering With Wireless Sensor Networks , 2008, IEEE Transactions on Signal Processing.

[11]  Yan Gao,et al.  Modeling of Node Energy Consumption for Wireless Sensor Networks , 2011, Wirel. Sens. Netw..

[12]  Kamalrulnizam Abu Bakar,et al.  Routing protocols in wireless body sensor networks: A comprehensive survey , 2017, J. Netw. Comput. Appl..

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

[14]  Tossaporn Srisooksai,et al.  Practical data compression in wireless sensor networks: A survey , 2012, J. Netw. Comput. Appl..

[15]  Bin Zhang,et al.  In-network data aggregation route strategy based on energy balance in WSNs , 2013, 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt).

[16]  Nitin H. Vaidya,et al.  A MAC protocol to reduce sensor network energy consumption using a wakeup radio , 2005, IEEE Transactions on Mobile Computing.

[17]  Indrajit Bhattacharya,et al.  A study on data aggregation techniques in wireless sensor network in static and dynamic scenarios , 2019, Innov. Syst. Softw. Eng..

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

[19]  José María de Fuentes,et al.  PAgIoT - Privacy-preserving Aggregation protocol for Internet of Things , 2016, J. Netw. Comput. Appl..

[20]  Yuanyuan Yang,et al.  Efficient Data Gathering with Mobile Collectors and Space-Division Multiple Access Technique in Wireless Sensor Networks , 2011, IEEE Transactions on Computers.

[21]  Viktor K. Prasanna,et al.  Energy Minimization for Real-Time Data Gathering in Wireless Sensor Networks , 2006, IEEE Transactions on Wireless Communications.

[22]  Cong Wang,et al.  Mobile data gathering with Wireless Energy Replenishment in rechargeable sensor networks , 2013, 2013 Proceedings IEEE INFOCOM.

[23]  Mehul Motani,et al.  Collaborative broadcasting and compression in cluster-based wireless sensor networks , 2005, Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005..

[24]  Tao Gu,et al.  Energy balanced data collection in Wireless Sensor Networks , 2012, 2012 20th IEEE International Conference on Network Protocols (ICNP).

[25]  Hai Le Vu,et al.  An estimation of sensor energy consumption , 2009 .

[26]  Jacques M. Bahi,et al.  Frequency filtering approach for data aggregation in periodic sensor networks , 2012, 2012 IEEE Network Operations and Management Symposium.

[27]  Yacine Challal,et al.  Energy efficiency in wireless sensor networks: A top-down survey , 2014, Comput. Networks.

[28]  Hee Yong Youn,et al.  Tree-Based Clustering(TBC) for Energy Efficient Wireless Sensor Networks , 2010, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.

[29]  Saurabh Kumar,et al.  Energy Efficient Scheduling in Wireless Sensor Networks for Periodic Data Gathering , 2019, IEEE Access.

[30]  Mohamed F. Younis,et al.  Efficient multi-path data aggregation scheduling in wireless sensor networks , 2013, 2013 IEEE International Conference on Communications (ICC).

[31]  Charles Sodini,et al.  A simple energy model for wireless microsensor transceivers , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[32]  Azer Bestavros,et al.  SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks , 2004 .

[33]  Mohammad Reza Zahabi,et al.  Optimizing LEACH clustering algorithm with mobile sink and rendezvous nodes , 2015 .

[34]  Konstantinos Kalpakis,et al.  An efficient clustering-based heuristic for data gathering and aggregation in sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[35]  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 .

[36]  Mehul Motani,et al.  Exploiting wireless broadcast in spatially correlated sensor networks , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[37]  Jie Zhang,et al.  A General Self-Organized Tree-Based Energy-Balance Routing Protocol for Wireless Sensor Network , 2012, IEEE Transactions on Nuclear Science.

[38]  Konstantinos Kalpakis,et al.  MAXIMUM LIFETIME DATA GATHERING AND AGGREGATION IN WIRELESS SENSOR NETWORKS , 2002 .

[39]  Pravin Chandra,et al.  A Note on Optimum Cluster Estimation in LEACH Protocol , 2018, IEEE Access.

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

[41]  Hamid Sharif,et al.  Cross-layer multirate interaction with Distributed Source Coding in Wireless Sensor Networks , 2009, IEEE Transactions on Wireless Communications.

[42]  Hichem Snoussi,et al.  Decentralized Variational Filtering for Target Tracking in Binary Sensor Networks , 2010, IEEE Transactions on Mobile Computing.

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

[44]  Zuoyin Tang,et al.  An Adaptive Distributed Source Coding Scheme forWireless Sensor Networks , 2006 .

[45]  Shahram Latifi,et al.  A survey on data compression in wireless sensor networks , 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

[46]  Rajeev Tripathi,et al.  Optimal Clustering in Weibull Distributed WSNs Based on Realistic Energy Dissipation Model , 2018 .

[47]  Baoqing Li,et al.  Maximizing precision for energy-efficient data aggregation in wireless sensor networks with lossy links , 2015, Ad Hoc Networks.

[48]  Inès Kammoun,et al.  Redundancy Elimination for Data Aggregation in Wireless Sensor Networks , 2018, 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD).

[49]  V. D. Mytri,et al.  Energy Efficient Reliable Data Aggregation Technique for Wireless Sensor Networks , 2012, 2012 International Conference on Computing Sciences.

[50]  Zhu Pei-dong,et al.  A Delay Sensitive Feedback Control Data Aggregation Approach in Wireless Sensor Network , 2007 .