Volume 18, Number 2

Reresda: An Energy-Efficient Redundancy Elimination and Secure Data Aggregation Framework for Wireless Sensor Networks

  Authors

Sunil S harakannanavar¹, Sumathi M S², Srinivasan P³, Sapnakumari C⁴ and Rangaswamy Y⁵, ¹Nitte Meenakshi Institute of Technology (NMIT), India, ²BMS Institute of Technology and Management, India, ³Amrita School of Engineering, India, ⁴Sapthagiri NPS University, India, ⁵Dr. Ambedkar institute of Technology, India

  Abstract

Wireless Sensor Networks (WSNs) are being used more for monitoring and surveillance, where nodes with limited energy resources must send a lot of sensed data. One big problem with these kinds of networks is that nodes run out of power quickly because they send the same data repeatedly. This has a direct impact on the network's lifetime and reliability. Many data aggregation methods have been suggested to cut down on communication overhead, but most of them only deal with redundancy between nearby nodes and does not do a good job of stopping repeated transmissions from the same node over multiple sensing rounds. Also, security concerns are often not fully considered in redundancy elimination systems. This paper introduces a Robust and Efficient Redundancy Elimination Secure Data Aggregation (RERESDA) model for clustered Wireless Sensor Networks (WSNs) to address these limitations. The suggested method presents a pattern-based data representation system that takes advantage of changes in sensed data over time. Sensor nodes only send data to the cluster head when they notice a change in the pattern they are making. This keeps them from sending data that is not needed. Also, when a cluster has similar data patterns, the cluster head picks a representative node based on how much energy is left in it. This keeps data safe while making sure that energy use is balanced. We use MATLAB-based simulations to test how well the proposed scheme works with a network of 40 sensor nodes spread out over a 100 m × 100 m area. Experimental results indicate that the proposed model diminishes overall energy consumption by as much as 56% in comparison to non-aggregation methods, while concurrently reducing bandwidth utilization. The results show that RERESDA really does improve energy efficiency and network lifetime by getting rid of redundancy and safely aggregating data at the same time.

  Keywords

Wireless Sensor Networks, Secure Data Aggregation, Redundancy Elimination, Energy Efficiency, Clustering Techniques