RG‑ACA: Efficient and Adaptive Routing Method for Internet of Things Based on Metaheuristic Approach

Abstract

In Internet of Things (IoT) systems that use various and limited devices, efficient use of resources is critical. However, since this problem is inherently complex, an enhanced meta-heuristic approach is proposed. In this paper, a new method called Reverse Gauss Ant Colony Algorithm (RG-ACA) is suggested for the design of efficient routing protocol for these systems. It is analyzed on the network lifetime, throughput and packet delivery parameters and the results are compared with HEEL, I-HEEL, EES-LEACH and iABC algorithms. The RG-ACA algorithm ranked first in all categories compared to other related current studies with 94%, 96 Kbps and 91% performance in these three parameters, respectively.