Modelling a Novel Random Trusted Multi-Aggregation Algorithm (RTMA2) for Enhances Data Aggregation

International Journal of Electronics and Communication Engineering

© 2025 by SSRG - IJECE Journal

Volume 12 Issue 3

Year of Publication : 2025

Authors : R. Nandha Kumar, P. Srimanchari

10.14445/23488549/IJECE-V12I3P101

How to Cite?

R. Nandha Kumar, P. Srimanchari, "Modelling a Novel Random Trusted Multi-Aggregation Algorithm (RTMA2) for Enhances Data Aggregation," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 3, pp. 1-11, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I3P101

Abstract:

It is essential to concentrate on the data aggregation process in order to improve the security of Wireless Sensor Networks (WSNs) for safe data transfer at both the Cluster Head (CH) and Base Station (BS). During data transmission, this technique combines data at each router. However, relying on energy-wasting nodes for this function can significantly shorten the network’s lifespan. Therefore, improving the data aggregation in WSNs is essential to increasing their energy efficiency. This refinement can be made at the CH and the BS using various mathematical techniques. Sensors are vulnerable to adversaries’ attacks when positioned over wide areas. These are the primary attackers who can introduce erroneous data into susceptible sensors during the data aggregation phase, resulting in inaccurate judgments at particular base stations. When it comes to such attacks, traditional methods of data averaging are unreliable. Observing how nodes behave during each data aggregation round is crucial to eliminate the inaccurate data introduced by these malicious parties precisely. This approach reduces the effect that inaccurate data has on the results. The Random Trusted Multi-Aggregation Algorithm (RTMA2) improves data aggregation by maximizing the energy efficiency of clustering by fusing a safe data aggregation technique with the capability to confirm data dependability. However, the entire data aggregation process is at risk since the aggregator has been compromised. Therefore, an aggregation protocol that maintains energy efficiency and security while also being resistant to compromised aggregators must be developed. In addition to reducing the dangers associated with compromised aggregators, The novel trust-based multi-aggregation protocol (RTMA²) shows how, in comparison to current methods, RTMA2 improves the energy efficiency, security, and adaptability of WSNs.

Keywords:

Sensor networks, Data aggregation, Trusted model, Random approach, Energy efficiency.

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