A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System

The perception layer of the Internet of Things (IoT) needs to respond to service requests rapidly. In the existing IoT perception methods, it remains challenging to concurrently ensure high energy maintenance and perception rate. To address this issue, inspired from the human visual direction-sensitive system, this article proposes an intelligent directional sensitivity-based perception algorithm (DSPA) for IoT service. First, the perception range of each node is divided into multiple regions. The perception direction of the node is represented by an arrow. The perception orientation of the node indicates a region to which the direction belongs. Then, by imitating the human visual direction-sensitive mechanism, direction optimization is proposed for IoT service perception. Meanwhile, region weight is designed to assist in determining the optimal direction to prevent DSPA from getting stuck in local optimums. Finally, simulation results demonstrate that DSPA achieves better energy maintenance and obtains a high perception rate faster than the compared algorithms.