• S.Ninisha Nels
• Maria Celestin Vigila S
• S. Harikumar

Wireless Sensor Network (WSN) is comprised with substantial quantity of sensor nodes to monitor various environmental conditions and collectively send their data packets to the sink node by means of network. Wireless nodes possess limited amount of energy because of the presence of multiple sensor nodes. To save energy in network, it is necessary to introduce data aggregation. Moreover, conventional routing protocols are prone to various malicious attacks that considerably affect the data security. Hence, the research proposes an efficient strategy for routing protocol and data aggregation mechanism to elevate network efficiency. Besides, it mitigates energy consumption and elongates the lifespan of whole network. Here, the routing mechanism is performed using Fractional Artificial Bee Colony (FABC), which is derived by incorporating idea of Fractional Calculus (FC) with Artificial Bee Colony (ABC) algorithm. Furthermore, the compilation of data is achieved through the utilization of the Hierarchical Fractional Quantized Kernel Least Mean Square Filter (HFQKLMS). The proposed FABC + HFQKLMS achieves a maximum energy of 0.258J, low prediction error of 7.152Kbps, and maximum throughput of 69640.

Wireless Sensor Network (WSN), Data aggregation, Artificial Bee Colony (ABC) algorithm, Fractional Calcuus (FC).

"ABC-based routing and data aggregation in wireless sensor network using HFQKLMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.e59-e72, February-2024, Available :http://www.jetir.org/papers/JETIR2402409.pdf

"ABC-based routing and data aggregation in wireless sensor network using HFQKLMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppe59-e72, February-2024, Available at : http://www.jetir.org/papers/JETIR2402409.pdf