Energy-Efficient Data Aggregation in Wireless Sensor Networks Using the Novel Secure and Reliable Hierarchical Data Aggregation Algorithm (NSRHDA)

The trending use of high speed Wireless Sensor Networks (WSNs) within the Internet of Things (IoT) created an urge for approaches that can reduce energy consumption in a large extent while ensuring the triad availability, reliability and security. The main challenges in achieving high energy efficiency, maintaining reliable data delivery between nodes in the network and providing high security measures are becoming key concerns, since the network is changing at faster rate and its unpredictable. This article basically focuses on a new data aggregation approach titled as the Novel Secure and Reliable Hierarchical Data Aggregation (NSRHDA) algorithm. The approach is found to notably reduce overall energy consumption through an improvised clustering framework supported by lightweight cryptography operations which in turn effectively safeguards data confidentiality and integrity. NSRHDA improves network efficiency, security, and stability by merging and optimizing the processes cluster formation, low cost encryption and adaptive cluster head selection. Simulation results confirms that NSRHDA outperforms the existing strategies in terms of energy savings, reduced delay, and effective resistance to security threats and the results are tabulated in detailed manner in the following chapters. This paper also states a detailed evaluation of network lifetime, security benefits, and real-time usability to illustrate the effectiveness of the proposed work.