Secure and Energy-efficient Mpr Clustering in Manets Utilizing an Improved Grasshopper Optimization Algorithm
Year: 2026
Type: article
Abstract: In recent times, a great deal of attention has been paid towards creating innovative models that guarantee secure information transfer within MANET environments. The current work introduces an efficient framework for data transfer using the integration of an MPR protocol based on Quality of Service (QoS) pheromone probability and improved grasshopper optimization algorithm (IGOA). This paper seeks to identify vulnerabilities associated with network architecture and proposes the use of IGOA technique to select cluster heads dependent on battery levels, mobility, and connection lifetimes. Additionally, an efficient estimation process of connectivity quality is used alongside the normalized dijkstra path routing mechanism, enabling the system to overcome link breaks of up to -93 dBm threshold values. MATLAB software simulation was used to evaluate the performance efficiency compared to the traditional algorithms, namely MCLMR, Adaptive, and QFSRD protocols. Results showed considerable improvement in terms of throughput rates, whereby IGOA exhibited impressive enhancement of data rates by achieving peaks of 72 kbps when dealing with 100 mobile nodes, which significantly outperforms the second best algorithm, QFSRD, that reached 40 kbps. Moreover, the proposed strategy secured an optimal Packet Delivery Ratio (PDR) of 98 percent when working with a few nodes and maintained 96.6 percent delivery ratio when transmitting messages between 100 nodes. Nonetheless, the outstanding performance of packet delivery is associated with increased network loading, consuming energy levels that ranged between 116 units for 20 nodes and 134 units for 100 nodes. Although IGOA consumes less power compared to its rivals (i.e., QFSRD consumes up to 140 units), it still utilizes considerably more power levels compared to other efficient techniques like MCLMR (58.4 units) and adaptive strategies (78.6 units).
Source: Acta Innovations
Language: English
Topic: Mobile Ad Hoc Networks
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7225110751