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Experimental AHP-TOPSIS Evaluation of Communication Technologies for Real-Time M2M Data Streaming Systems
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 134 |
| Year of Publication: 2026 |
| Authors: Oleg Iliev |
10.5120/ijca0e8b7152c219
|
Oleg Iliev . Experimental AHP-TOPSIS Evaluation of Communication Technologies for Real-Time M2M Data Streaming Systems. International Journal of Computer Applications. 187, 134 ( Aug 2026), 1-9. DOI=10.5120/ijca0e8b7152c219
Abstract
This paper presents an experimental evaluation of communication technologies for real-time Machine-to-Machine (M2M) data streaming systems based on an integrated Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) decision model. Four communication technologies - HTTP/1.1, HTTP/2, RabbitMQ, and Apache Kafka - were evaluated under controlled LAN conditions using a sustained stress-test workload of up to 50,000 generated messages per second. The evaluation considered six criteria: average latency, 99thpercentile latency, message loss, ordering consistency, transaction success, and throughput. The results indicate that Apache Kafka achieves the highest overall suitability with a TOPSIS closeness coefficient of Ci = 0.946, followed by RabbitMQ (Ci = 0.777), HTTP/2 (Ci = 0.607), and HTTP/1.1 (Ci = 0.000). The findings demonstrate that multi-criteria decision models provide a practical framework for objective communication technology selection in real-time M2M data streaming systems by simultaneously considering latency, reliability, throughput, and domain-specific operational requirements.
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