关键词: 雾计算, 传感网, 路由协议, 粒子群优化算法, 网络生存周期

Abstract:

Traditional data-centric routing protocols often lead to a large number of “energy holes” or “hot spots” in the sensor network. In order to overcome the above phenomenon, this paper proposes a Cross-layer-sensing Clustering Routing Protocol Based on Fog Computing（CCRP） based on the fog computing theoretical model. The protocol uses the cross-layer mapping principle to map the fog node to the sensor layer using the perceptual event-driven mechanism to form a powerful virtual control node. The control process of the sensor network clustering routing protocol is uploaded to the fog layer and realized through fog computing. The event domain nodes are distributed in clusters and the routing convergence center, thereby establishing an optimized data aggregation routing centered on the mapped fog node, replacing the data in the underlying routing of the sensor network, further balancing and reducing network load. In the routing protocol optimization stage, the Particle Swarm Optimization（PSO） algorithm is used to elect a group of best nodes as cluster heads in a non-competitive cost method, which can effectively balance the energy cost of the entire network and suppress the rapid energy consumption of sensor nodes, extend the network life cycle. Finally, the simulation experiment shows that the CCRP protocol in this paper can effectively suppress the network overhead while efficiently completing the data optimization process.

Key words: fog computing, sensor networks, routing protocol, particles swarm optimization, network lifetime