Title: Optimal cuckoo-based resource allocation in wireless network

Authors: S. Mary Evanchalin; R. Ravi

Addresses: Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India ' Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India

Abstract: Efficient resource allocation in wireless networks is becoming essential due to the growing demand for wireless communication services. However, the usual resource allocation is not sufficient for wireless networks. The Cuckoo-based Flooding Protocol (CbFP) is presented in this research as an innovative method to improve resource allocation and data transmission in wireless networks. The key objective of this work is allocating the resource in an optimal way; for that, the cuckoo search fitness function was utilised. The data packets are sent to the target node by the nodes based on the allocated resources. The effectiveness of the framework was evaluated using the ns3 tool. To validate the improvements, the results were compared with existing models. The model achieved an impressive throughput of 50 Mbps with a minimal transmission delay of 10 ms and a packet drop of 3%. Hence, the introduced model is highly suitable for the wireless network application to allocate resources optimally.

Keywords: cuckoo search fitness function; flooding protocol; resource allocation; wireless network.

DOI: 10.1504/IJWMC.2026.155326

International Journal of Wireless and Mobile Computing, 2026 Vol.31 No.1, pp.1 - 11

Received: 10 Mar 2025
Accepted: 23 Jul 2025
Published online: 30 Jul 2026 *

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