Artificial Bee Colony-based Routing for Mobile Agents on the Internet of Things

In the critical infrastructure of the Internet of Things (IoT), the most efficient approach for data collection is to employ the software Mobile Agents (MAs). In MA-based data collection, the energy exhaustion of wireless communications is much more than the data processing costs. Hence, a crucial challenge in IoT is to offer optimal routing for MAs to save the energy of devices. In this paper, we present a new routing method for MAs on IoT using the Artificial Bee Colony (ABC) algorithm. In our approach, the Euclidean distance between sensor/devices, residual energy, and data priority are considered to measure the appropriateness of the generated routing. Simulation analysis demonstrates that our proposed method improves the energy exhaustion, lifetime, transmission delay, and reliability of IoT.