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Data redundancy is quite common in wireless sensor networks (WSNs) where nodes are deployed densely. The reason behind such deployment is to achieve reliability from communication failure. Communication failure happens when particular node transmitting data fails. In WSN there is no other way than keeping redundant nodes to solve communication failure problem. If redundant nodes are available then at the time of node failure the data of failed node can be recovered from its redundant nodes. Though we can achieve reliability through redundant nodes presence of redundant nodes will generate more number of redundant packets which will consume more energy of network. Because nodes which are densely deployed will sense the same information and send it to sink node and sink will waste its energy in processing redundant data and also redundancy will generate heavy traffic in network. Hence, there is a need to trade-off between energy conservation and reliability. To do this trade-off we need to find optimization point of redundancy in WSN. So that reliability and energy conservation both will be maintained. In this paper we have used clustering-based load shifting policy (LSP) to eliminate redundancy up to an adequate level to achieve optimization point of redundancy. Data aggregation eliminates redundancy from WSN. We are performing data aggregation at two levels and at the same time we are keeping redundant nodes up to 50 % to achieve reliability. In this paper, we have done comparison of traditional cluster-based data aggregation with our LSP-based data aggregation. Simulation result shows that LSPDA has lesser average energy consumption and longer lifetime than traditional cluster-based data aggregation method.
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Nandini Patil, P. Patil: Data Aggregation in Wireless Sensor Network, IEEE International Conference on Computational Intelligence and Computing Research, ISBN: 97881 8371 3627.
Avid Avokh, Ghasem Patil: Dynamic Balanced Spanning Tree (DBST) for Data Aggregation in Wireless Sensor Networks, 5th International Symposium on Telecommunications (IST2010), 978-1-4244-8185-9/10 © 2010 IEEE (2010).
Prakash Patil, Umakant Kulkarni: SVM based Data Redundancy Elimination for Data Aggregation in Wireless Sensor Networks, 978-1-4673-6217-7/13 © IEEE (2013).
Dnyaneshwar Mantri, Neeli Rashmi Prasad, Ram jee Prasad: BHCDA: Bandwidth Efficient Heterogeneity aware Cluster based Data Aggregation for Wireless Sensor Network, ICRTIT 2011, 978-1-4673-6217-7/13 IEEE (2013).
Sumalatha Ramachandran, Aswin Kumar Gopi, Giridara Varma Elumalai, Murugesan Chellapa: REDD: Redundancy Eliminated Data Dissemination in Cluster Based Mobile Sinks, ICRTIT 2011, 978-1-4577-0590-8/11 © IEEE (2011).
Basavaraj S. Mathapati, Siddarama. R. Patil: Energy Efficient Reliable Data Aggregation Technique for Wireless Sensor Networks, International Conference on Computing Sciences, 978-0-7695-4817-3/12 © IEEE (2012).
Samarth Anavatti, Sumedha Sirsikar: Issues in Data Aggregation Methods in WSN: A Survey, 4th International Conference on Advances in Computing, Communication and Control (ICAC3’2015), 1877–0509 © Procedia Computer Science, Elsevier B.V., Mumbai-400050, Maharashtra, India, (April 03–04, 2015).
Samarth Anavatti, Sumedha Sirsikar: Energy Efficient Multilevel Data Aggregation technique for adequate redundancy removal in WSN, 4th Post Graduate Conference for Information Technology (iPGCon-2015), Amrutvahini College of Engineering, Sangamner, (24–25 March 2015).
Network Simulator: http://www.isi.edu/nsam/ns.
- Energy Efficient Data Aggregation Technique Using Load Shifting Policy for Wireless Sensor Network
- Springer Singapore