Study on Data Gathering Algorithm Based on Mobile Agent and WSN for Emergent Event Monitoring

Focused on the energy consumption and the network delay in wireless sensor network applied to emergent event monitoring, a new data gathering algorithm based on mobile agent (DGMA) is proposed for the cluster-based wireless sensor network. The process of dynamically clustering the sensor nodes is based on the event severity, by which the scale and lifetime of clusters are determined. And a virtual cluster is formed between the base station and cluster heads regarded the base station as its cluster head. The next hop in route planning for mobile agents is determined by the residual energy, the path loss and the stimulus intensity. The mobile agents can gather information by traversing all member nodes. The theory analysis and simulation results show that mobile agent model has a better performance in energy consumption and network delay compared to C/S model. Furthermore, DGMA will provide a more appropriate performance for wireless sensor network applied to a large scale emergent event monitoring.